notebook: convert all ipynb to py scripts
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commit
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@ -1,158 +0,0 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Both PLL mode example\n",
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"\n",
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"Time domain simulation with helper and main PLL mode. \n",
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"\n",
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"- Period error (**Helper PLL**)\n",
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" - $\\Delta{period} = N - (tag_{gtx}[n] - tag_{gtx}[n-1]) $\n",
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" - where ideally $f_{helper} = \\dfrac{f_{in} * (N-1)}{N}$ \n",
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"\n",
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"- Phase error (**Main PLL**)\n",
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" - $\\text{Let } \\Delta tag[n] = tag_{main}[n] - tag_{gtx}[n] \\text{ mod N}$\n",
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"\n",
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" - $\\Delta\\phi[n] = \\begin{cases}\n",
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" \\Delta tag[n] - N, & \\text{if } \\Delta tag > N/2 \\\\\n",
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" \\Delta tag[n], & otherwise\n",
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" \\end{cases} \\quad$\n",
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" \n",
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"\n",
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"- ADPLL PID (common for main and helper PLL)\n",
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" - $P[n] = err[n] * K_P$\n",
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" - $I[n] = I[n-1] + err[n] * K_I$\n",
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" - $D[n] = (err[n] - err[n-1]) * K_D$\n",
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" - $adpll[n] = \\text{base adpll} + P[i] + I[n] + D[n] $\n",
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" - where $\\text{base adpll}$ is constant and obtain from frequency counter in HW"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from plotly_resampler import FigureResampler, FigureWidgetResampler\n",
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"from plotly.subplots import make_subplots\n",
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"import plotly.graph_objects as go\n",
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"import numpy as np\n",
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"from wrpll_simulation.wrpll import WRPLL_simulator"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# settings\n",
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"timestep = 1e-10\n",
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"total_steps = 200_000_000\n",
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"sim_mode = \"both\"\n",
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"adpll_period = 200e-6 # in seconds, the period that pll will trigger, (minimum > total DCXO frequency change delay)\n",
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"start_up_delay = 100e-6 # in seconds, the frequency adjustment is DISABLE until time > start_up_delay\n",
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"\n",
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"gtx_freq = 125_001_519\n",
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"\n",
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"\n",
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"helper_filter = {\n",
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" \"KP\": 2,\n",
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" \"KI\": 0.5,\n",
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" \"KD\": 0,\n",
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"}\n",
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"\n",
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"main_filter = {\n",
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" \"KP\": 12,\n",
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" \"KI\": 0,\n",
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" \"KD\": 0,\n",
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"}\n",
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"\n",
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"\n",
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"# simulation have RNG for\n",
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"# - gtx, main and helper jitter\n",
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"# - starting phase for main and helper\n",
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"# - base_adpll error\n",
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"\n",
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"wrpll_sim = WRPLL_simulator(\n",
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" timestep=timestep,\n",
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" total_steps=total_steps,\n",
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" sim_mode=sim_mode,\n",
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" helper_filter=helper_filter,\n",
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" main_filter=main_filter,\n",
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" gtx_freq=gtx_freq,\n",
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" adpll_write_period=adpll_period,\n",
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" start_up_delay=start_up_delay,\n",
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")\n",
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"wrpll_sim.run()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# faster than pyplot with resampling feature\n",
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"# see https://github.com/predict-idlab/plotly-resampler\n",
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"\n",
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"fig = FigureWidgetResampler(make_subplots(rows=4, shared_xaxes=True))\n",
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"fig.add_trace(go.Scattergl(name='phase error'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.phase_err, row=1, col=1)\n",
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"\n",
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"fig.add_trace(go.Scattergl(name='freq error (ppm)'), hf_x=wrpll_sim.time, hf_y=(\n",
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" wrpll_sim.mainfreq-gtx_freq) * (1e6/gtx_freq), row=2, col=1)\n",
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"\n",
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"fig.add_trace(go.Scattergl(name='period error'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.period_err, row=3, col=1)\n",
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"\n",
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"fig.add_trace(go.Scattergl(name='gtx'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.gtx+1, row=4, col=1)\n",
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"fig.add_trace(go.Scattergl(name='main'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.main, row=4, col=1)\n",
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"fig.add_trace(go.Scattergl(name='helper'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.helper-1, row=4, col=1)\n",
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"\n",
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"\n",
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"fig.update_layout(\n",
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" xaxis4=dict(title=\"time (sec)\"),\n",
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" yaxis1=dict(title=\"phase error\"),\n",
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" yaxis2=dict(title=\"freq error (ppm)\"),\n",
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" yaxis3=dict(title=\"beating period error\"),\n",
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" yaxis4=dict(title=\"Signal\"),\n",
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"\n",
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" height=1000,\n",
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" showlegend=True,\n",
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" title_text=\"PLL example\",\n",
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" legend=dict(\n",
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" orientation=\"h\",\n",
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" yanchor=\"bottom\",\n",
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" y=1.02,\n",
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" xanchor=\"right\",\n",
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" x=1,\n",
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" ),\n",
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")\n",
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"\n",
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"fig"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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@ -0,0 +1,136 @@
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# %% [markdown]
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# ## Both PLL mode example
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#
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# Time domain simulation with helper and main PLL mode.
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#
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# - Period error (**Helper PLL**)
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# - $\Delta{period} = N - (tag_{gtx}[n] - tag_{gtx}[n-1]) $
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# - where ideally $f_{helper} = \dfrac{f_{in} * (N-1)}{N}$
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#
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# - Phase error (**Main PLL**)
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# - $\text{Let } \Delta tag[n] = tag_{main}[n] - tag_{gtx}[n] \text{ mod N}$
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#
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# - $\Delta\phi[n] = \begin{cases}
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# \Delta tag[n] - N, & \text{if } \Delta tag > N/2 \\
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# \Delta tag[n], & otherwise
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# \end{cases} \quad$
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#
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#
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# - ADPLL PID (common for main and helper PLL)
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# - $P[n] = err[n] * K_P$
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# - $I[n] = I[n-1] + err[n] * K_I$
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# - $D[n] = (err[n] - err[n-1]) * K_D$
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# - $adpll[n] = \text{base adpll} + P[i] + I[n] + D[n] $
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# - where $\text{base adpll}$ is constant and obtain from frequency counter in HW
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# %%
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from plotly_resampler import FigureResampler, FigureWidgetResampler
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from plotly.subplots import make_subplots
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import plotly.graph_objects as go
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import numpy as np
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from wrpll_simulation.wrpll import WRPLL_simulator
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# %%
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# settings
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timestep = 1e-10
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total_steps = 200_000_000
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sim_mode = "both"
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adpll_period = 200e-6 # in seconds, the period that pll will trigger, (minimum > total DCXO frequency change delay)
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start_up_delay = 100e-6 # in seconds, the frequency adjustment is DISABLE until time > start_up_delay
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gtx_freq = 125_001_519
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helper_filter = {
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"KP": 2,
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"KI": 0.5,
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"KD": 0,
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}
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main_filter = {
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"KP": 12,
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"KI": 0,
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"KD": 0,
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}
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# simulation have RNG for
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# - gtx, main and helper jitter
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# - starting phase for main and helper
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# - base_adpll error
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wrpll_sim = WRPLL_simulator(
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timestep=timestep,
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total_steps=total_steps,
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sim_mode=sim_mode,
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helper_filter=helper_filter,
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main_filter=main_filter,
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gtx_freq=gtx_freq,
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adpll_write_period=adpll_period,
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start_up_delay=start_up_delay,
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)
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wrpll_sim.run()
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# %%
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# faster than pyplot with resampling feature
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# see https://github.com/predict-idlab/plotly-resampler
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fig = FigureWidgetResampler(make_subplots(rows=4, shared_xaxes=True))
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fig.add_trace(
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go.Scattergl(name="phase error"),
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hf_x=wrpll_sim.time,
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hf_y=wrpll_sim.phase_err,
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row=1,
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col=1,
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)
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fig.add_trace(
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go.Scattergl(name="freq error (ppm)"),
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hf_x=wrpll_sim.time,
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hf_y=(wrpll_sim.mainfreq - gtx_freq) * (1e6 / gtx_freq),
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row=2,
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col=1,
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)
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fig.add_trace(
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go.Scattergl(name="period error"),
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hf_x=wrpll_sim.time,
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hf_y=wrpll_sim.period_err,
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row=3,
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col=1,
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)
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fig.add_trace(
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go.Scattergl(name="gtx"), hf_x=wrpll_sim.time, hf_y=wrpll_sim.gtx + 1, row=4, col=1
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)
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fig.add_trace(
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go.Scattergl(name="main"), hf_x=wrpll_sim.time, hf_y=wrpll_sim.main, row=4, col=1
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)
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fig.add_trace(
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go.Scattergl(name="helper"),
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hf_x=wrpll_sim.time,
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hf_y=wrpll_sim.helper - 1,
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row=4,
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col=1,
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)
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fig.update_layout(
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xaxis4=dict(title="time (sec)"),
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yaxis1=dict(title="phase error"),
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yaxis2=dict(title="freq error (ppm)"),
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yaxis3=dict(title="beating period error"),
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yaxis4=dict(title="Signal"),
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height=1000,
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showlegend=True,
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title_text="PLL example",
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legend=dict(
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orientation="h",
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yanchor="bottom",
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y=1.02,
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xanchor="right",
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x=1,
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),
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)
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fig
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@ -1,149 +0,0 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Helper PLL mode example\n",
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"\n",
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"Time domain simulation with helper PLL mode\n",
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"\n",
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"- Period error (**Helper PLL**)\n",
|
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" - $\\Delta{period} = N - (tag_{gtx}[n] - tag_{gtx}[n-1]) $\n",
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" - where ideally $f_{helper} = \\dfrac{f_{in} * (N-1)}{N}$ \n",
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"\n",
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"- Phase error (**Main PLL**)\n",
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" - $\\text{Let } \\Delta tag[n] = tag_{main}[n] - tag_{gtx}[n] \\text{ mod N}$\n",
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"\n",
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" - $\\Delta\\phi[n] = \\begin{cases}\n",
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" \\Delta tag[n] - N, & \\text{if } \\Delta tag > N/2 \\\\\n",
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" \\Delta tag[n], & otherwise\n",
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" \\end{cases} \\quad$\n",
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" \n",
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"\n",
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"- ADPLL PID (common for main and helper PLL)\n",
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" - $P[n] = err[n] * K_P$\n",
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" - $I[n] = I[n-1] + err[n] * K_I$\n",
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" - $D[n] = (err[n] - err[n-1]) * K_D$\n",
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" - $adpll[n] = \\text{base adpll} + P[i] + I[n] + D[n] $\n",
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" - where $\\text{base adpll}$ is constant and obtain from frequency counter in HW"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
|
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"from plotly_resampler import FigureResampler, FigureWidgetResampler\n",
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"from plotly.subplots import make_subplots\n",
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"import plotly.graph_objects as go\n",
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"import numpy as np\n",
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"from wrpll_simulation.wrpll import WRPLL_simulator"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
|
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"# settings\n",
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"timestep = 1e-10\n",
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"total_steps = 100_000_000\n",
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"sim_mode = \"helper_pll\"\n",
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"adpll_period = 200e-6 # in seconds, the period that pll will trigger, (minimum > total DCXO frequency change delay)\n",
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"start_up_delay = 100e-6 # in seconds, the frequency adjustment is DISABLE until time > start_up_delay\n",
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"\n",
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"gtx_freq = 125_001_519\n",
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"\n",
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"helper_filter = {\n",
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" \"KP\": 2,\n",
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" \"KI\": 0.5,\n",
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" \"KD\": 0,\n",
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"}\n",
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"\n",
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"main_filter = { # unused\n",
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" \"KP\": 12,\n",
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" \"KI\": 0,\n",
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" \"KD\": 0,\n",
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"}\n",
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"\n",
|
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"# simulation have RNG for\n",
|
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"# - gtx, main and helper jitter\n",
|
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"# - starting phase for main and helper\n",
|
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"# - base_adpll error\n",
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"\n",
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"wrpll_sim = WRPLL_simulator(\n",
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" timestep=timestep,\n",
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" total_steps=total_steps,\n",
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" sim_mode=sim_mode,\n",
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" helper_filter=helper_filter,\n",
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" main_filter=main_filter,\n",
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" gtx_freq=gtx_freq,\n",
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" adpll_write_period=adpll_period,\n",
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" start_up_delay=start_up_delay,\n",
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")\n",
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"wrpll_sim.run()"
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]
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},
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{
|
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"cell_type": "code",
|
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"execution_count": null,
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"metadata": {},
|
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"outputs": [],
|
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"source": [
|
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"# faster than pyplot with resampling feature\n",
|
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"# see https://github.com/predict-idlab/plotly-resampler\n",
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"\n",
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"fig = FigureWidgetResampler(make_subplots(rows=2, shared_xaxes=True))\n",
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"fig.add_trace(go.Scattergl(name='period error'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.period_err, row=1, col=1)\n",
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"\n",
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"fig.add_trace(go.Scattergl(name='gtx'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.gtx+1, row=2, col=1)\n",
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"fig.add_trace(go.Scattergl(name='main'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.main, row=2, col=1)\n",
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"fig.add_trace(go.Scattergl(name='helper'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.helper-1, row=2, col=1)\n",
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"\n",
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"\n",
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"fig.update_layout(\n",
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" xaxis2=dict(title=\"time (sec)\"),\n",
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"\n",
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" yaxis1=dict(title=\"beating period error\"),\n",
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" yaxis2=dict(title=\"Signal\"),\n",
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" height=1000,\n",
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" showlegend=True,\n",
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" title_text=\"PLL example\",\n",
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" legend=dict(\n",
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" orientation=\"h\",\n",
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" yanchor=\"bottom\",\n",
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" y=1.02,\n",
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" xanchor=\"right\",\n",
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" x=1,\n",
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" ),\n",
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")\n",
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"\n",
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"fig"
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]
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}
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],
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"metadata": {
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||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.6"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
|
|
@ -0,0 +1,116 @@
|
|||
# %% [markdown]
|
||||
# ## Helper PLL mode example
|
||||
#
|
||||
# Time domain simulation with helper PLL mode
|
||||
#
|
||||
# - Period error (**Helper PLL**)
|
||||
# - $\Delta{period} = N - (tag_{gtx}[n] - tag_{gtx}[n-1]) $
|
||||
# - where ideally $f_{helper} = \dfrac{f_{in} * (N-1)}{N}$
|
||||
#
|
||||
# - Phase error (**Main PLL**)
|
||||
# - $\text{Let } \Delta tag[n] = tag_{main}[n] - tag_{gtx}[n] \text{ mod N}$
|
||||
#
|
||||
# - $\Delta\phi[n] = \begin{cases}
|
||||
# \Delta tag[n] - N, & \text{if } \Delta tag > N/2 \\
|
||||
# \Delta tag[n], & otherwise
|
||||
# \end{cases} \quad$
|
||||
#
|
||||
#
|
||||
# - ADPLL PID (common for main and helper PLL)
|
||||
# - $P[n] = err[n] * K_P$
|
||||
# - $I[n] = I[n-1] + err[n] * K_I$
|
||||
# - $D[n] = (err[n] - err[n-1]) * K_D$
|
||||
# - $adpll[n] = \text{base adpll} + P[i] + I[n] + D[n] $
|
||||
# - where $\text{base adpll}$ is constant and obtain from frequency counter in HW
|
||||
|
||||
# %%
|
||||
from plotly_resampler import FigureResampler, FigureWidgetResampler
|
||||
from plotly.subplots import make_subplots
|
||||
import plotly.graph_objects as go
|
||||
import numpy as np
|
||||
from wrpll_simulation.wrpll import WRPLL_simulator
|
||||
|
||||
# %%
|
||||
# settings
|
||||
timestep = 1e-10
|
||||
total_steps = 100_000_000
|
||||
sim_mode = "helper_pll"
|
||||
adpll_period = 200e-6 # in seconds, the period that pll will trigger, (minimum > total DCXO frequency change delay)
|
||||
start_up_delay = 100e-6 # in seconds, the frequency adjustment is DISABLE until time > start_up_delay
|
||||
|
||||
gtx_freq = 125_001_519
|
||||
|
||||
helper_filter = {
|
||||
"KP": 2,
|
||||
"KI": 0.5,
|
||||
"KD": 0,
|
||||
}
|
||||
|
||||
main_filter = { # unused
|
||||
"KP": 12,
|
||||
"KI": 0,
|
||||
"KD": 0,
|
||||
}
|
||||
|
||||
# simulation have RNG for
|
||||
# - gtx, main and helper jitter
|
||||
# - starting phase for main and helper
|
||||
# - base_adpll error
|
||||
|
||||
wrpll_sim = WRPLL_simulator(
|
||||
timestep=timestep,
|
||||
total_steps=total_steps,
|
||||
sim_mode=sim_mode,
|
||||
helper_filter=helper_filter,
|
||||
main_filter=main_filter,
|
||||
gtx_freq=gtx_freq,
|
||||
adpll_write_period=adpll_period,
|
||||
start_up_delay=start_up_delay,
|
||||
)
|
||||
wrpll_sim.run()
|
||||
|
||||
# %%
|
||||
# faster than pyplot with resampling feature
|
||||
# see https://github.com/predict-idlab/plotly-resampler
|
||||
|
||||
fig = FigureWidgetResampler(make_subplots(rows=2, shared_xaxes=True))
|
||||
fig.add_trace(
|
||||
go.Scattergl(name="period error"),
|
||||
hf_x=wrpll_sim.time,
|
||||
hf_y=wrpll_sim.period_err,
|
||||
row=1,
|
||||
col=1,
|
||||
)
|
||||
|
||||
fig.add_trace(
|
||||
go.Scattergl(name="gtx"), hf_x=wrpll_sim.time, hf_y=wrpll_sim.gtx + 1, row=2, col=1
|
||||
)
|
||||
fig.add_trace(
|
||||
go.Scattergl(name="main"), hf_x=wrpll_sim.time, hf_y=wrpll_sim.main, row=2, col=1
|
||||
)
|
||||
fig.add_trace(
|
||||
go.Scattergl(name="helper"),
|
||||
hf_x=wrpll_sim.time,
|
||||
hf_y=wrpll_sim.helper - 1,
|
||||
row=2,
|
||||
col=1,
|
||||
)
|
||||
|
||||
|
||||
fig.update_layout(
|
||||
xaxis2=dict(title="time (sec)"),
|
||||
yaxis1=dict(title="beating period error"),
|
||||
yaxis2=dict(title="Signal"),
|
||||
height=1000,
|
||||
showlegend=True,
|
||||
title_text="PLL example",
|
||||
legend=dict(
|
||||
orientation="h",
|
||||
yanchor="bottom",
|
||||
y=1.02,
|
||||
xanchor="right",
|
||||
x=1,
|
||||
),
|
||||
)
|
||||
|
||||
fig
|
||||
|
|
@ -1,164 +0,0 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Main PLL mode example\n",
|
||||
"\n",
|
||||
"Time domain simulation with main PLL mode, and helper PLL is assumed to be locked \n",
|
||||
"\n",
|
||||
"(`helper_init_freq` variable need to be set)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"- Period error (**Helper PLL**)\n",
|
||||
" - $\\Delta{period} = N - (tag_{gtx}[n] - tag_{gtx}[n-1]) $\n",
|
||||
" - where ideally $f_{helper} = \\dfrac{f_{in} * (N-1)}{N}$ \n",
|
||||
"\n",
|
||||
"- Phase error (**Main PLL**)\n",
|
||||
" - $\\text{Let } \\Delta tag[n] = tag_{main}[n] - tag_{gtx}[n] \\text{ mod N}$\n",
|
||||
"\n",
|
||||
" - $\\Delta\\phi[n] = \\begin{cases}\n",
|
||||
" \\Delta tag[n] - N, & \\text{if } \\Delta tag > N/2 \\\\\n",
|
||||
" \\Delta tag[n], & otherwise\n",
|
||||
" \\end{cases} \\quad$\n",
|
||||
" \n",
|
||||
"\n",
|
||||
"- ADPLL PID (common for main and helper PLL)\n",
|
||||
" - $P[n] = err[n] * K_P$\n",
|
||||
" - $I[n] = I[n-1] + err[n] * K_I$\n",
|
||||
" - $D[n] = (err[n] - err[n-1]) * K_D$\n",
|
||||
" - $adpll[n] = \\text{base adpll} + P[i] + I[n] + D[n] $\n",
|
||||
" - where $\\text{base adpll}$ is constant and obtain from frequency counter in HW"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from plotly_resampler import FigureResampler, FigureWidgetResampler\n",
|
||||
"from plotly.subplots import make_subplots\n",
|
||||
"import plotly.graph_objects as go\n",
|
||||
"import numpy as np\n",
|
||||
"from wrpll_simulation.wrpll import WRPLL_simulator"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# settings\n",
|
||||
"timestep = 1e-10\n",
|
||||
"total_steps = 100_000_000\n",
|
||||
"sim_mode = \"main_pll\"\n",
|
||||
"adpll_period = 200e-6 # in seconds, the period that pll will trigger, (minimum > total DCXO frequency change delay)\n",
|
||||
"start_up_delay = 100e-6 # in seconds, the frequency adjustment is DISABLE until time > start_up_delay\n",
|
||||
"\n",
|
||||
"gtx_freq = 125_001_519\n",
|
||||
"\n",
|
||||
"helper_init_freq = gtx_freq * (4096-1)/4096\n",
|
||||
"\n",
|
||||
"helper_filter = { # unused\n",
|
||||
" \"KP\": 2,\n",
|
||||
" \"KI\": 0.5,\n",
|
||||
" \"KD\": 0,\n",
|
||||
"}\n",
|
||||
"\n",
|
||||
"main_filter = {\n",
|
||||
" \"KP\": 12,\n",
|
||||
" \"KI\": 0,\n",
|
||||
" \"KD\": 0,\n",
|
||||
"}\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"# simulation have RNG for\n",
|
||||
"# - gtx, main and helper jitter\n",
|
||||
"# - starting phase for main and helper\n",
|
||||
"# - base_adpll error\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"wrpll_sim = WRPLL_simulator(\n",
|
||||
" timestep=timestep,\n",
|
||||
" total_steps=total_steps,\n",
|
||||
" sim_mode=sim_mode,\n",
|
||||
" helper_filter=helper_filter,\n",
|
||||
" main_filter=main_filter,\n",
|
||||
" gtx_freq=gtx_freq,\n",
|
||||
" adpll_write_period=adpll_period,\n",
|
||||
" start_up_delay=start_up_delay,\n",
|
||||
" helper_init_freq=helper_init_freq\n",
|
||||
")\n",
|
||||
"wrpll_sim.run()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# faster than pyplot with resampling feature\n",
|
||||
"# see https://github.com/predict-idlab/plotly-resampler\n",
|
||||
"\n",
|
||||
"fig = FigureWidgetResampler(make_subplots(rows=4, shared_xaxes=True))\n",
|
||||
"fig.add_trace(go.Scattergl(name='phase error'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.phase_err, row=1, col=1)\n",
|
||||
"\n",
|
||||
"fig.add_trace(go.Scattergl(name='freq error (ppm)'), hf_x=wrpll_sim.time, hf_y=(\n",
|
||||
" wrpll_sim.mainfreq-gtx_freq) * (1e6/gtx_freq), row=2, col=1)\n",
|
||||
"\n",
|
||||
"fig.add_trace(go.Scattergl(name='period error'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.period_err, row=3, col=1)\n",
|
||||
"\n",
|
||||
"fig.add_trace(go.Scattergl(name='gtx'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.gtx+1, row=4, col=1)\n",
|
||||
"fig.add_trace(go.Scattergl(name='main'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.main, row=4, col=1)\n",
|
||||
"fig.add_trace(go.Scattergl(name='helper'), hf_x=wrpll_sim.time, hf_y=wrpll_sim.helper-1, row=4, col=1)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"fig.update_layout(\n",
|
||||
" xaxis4=dict(title=\"time (sec)\"),\n",
|
||||
" yaxis1=dict(title=\"phase error\"),\n",
|
||||
" yaxis2=dict(title=\"freq error (ppm)\"),\n",
|
||||
" yaxis3=dict(title=\"beating period error\"),\n",
|
||||
" yaxis4=dict(title=\"Signal\"),\n",
|
||||
"\n",
|
||||
" height=1000,\n",
|
||||
" showlegend=True,\n",
|
||||
" title_text=\"PLL example\",\n",
|
||||
" legend=dict(\n",
|
||||
" orientation=\"h\",\n",
|
||||
" yanchor=\"bottom\",\n",
|
||||
" y=1.02,\n",
|
||||
" xanchor=\"right\",\n",
|
||||
" x=1,\n",
|
||||
" ),\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"fig"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.6"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
|
|
@ -0,0 +1,142 @@
|
|||
# %% [markdown]
|
||||
# ## Main PLL mode example
|
||||
#
|
||||
# Time domain simulation with main PLL mode, and helper PLL is assumed to be locked
|
||||
#
|
||||
# (`helper_init_freq` variable need to be set)
|
||||
#
|
||||
#
|
||||
# - Period error (**Helper PLL**)
|
||||
# - $\Delta{period} = N - (tag_{gtx}[n] - tag_{gtx}[n-1]) $
|
||||
# - where ideally $f_{helper} = \dfrac{f_{in} * (N-1)}{N}$
|
||||
#
|
||||
# - Phase error (**Main PLL**)
|
||||
# - $\text{Let } \Delta tag[n] = tag_{main}[n] - tag_{gtx}[n] \text{ mod N}$
|
||||
#
|
||||
# - $\Delta\phi[n] = \begin{cases}
|
||||
# \Delta tag[n] - N, & \text{if } \Delta tag > N/2 \\
|
||||
# \Delta tag[n], & otherwise
|
||||
# \end{cases} \quad$
|
||||
#
|
||||
#
|
||||
# - ADPLL PID (common for main and helper PLL)
|
||||
# - $P[n] = err[n] * K_P$
|
||||
# - $I[n] = I[n-1] + err[n] * K_I$
|
||||
# - $D[n] = (err[n] - err[n-1]) * K_D$
|
||||
# - $adpll[n] = \text{base adpll} + P[i] + I[n] + D[n] $
|
||||
# - where $\text{base adpll}$ is constant and obtain from frequency counter in HW
|
||||
|
||||
# %%
|
||||
from plotly_resampler import FigureResampler, FigureWidgetResampler
|
||||
from plotly.subplots import make_subplots
|
||||
import plotly.graph_objects as go
|
||||
import numpy as np
|
||||
from wrpll_simulation.wrpll import WRPLL_simulator
|
||||
|
||||
# %%
|
||||
# settings
|
||||
timestep = 1e-10
|
||||
total_steps = 100_000_000
|
||||
sim_mode = "main_pll"
|
||||
adpll_period = 200e-6 # in seconds, the period that pll will trigger, (minimum > total DCXO frequency change delay)
|
||||
start_up_delay = 100e-6 # in seconds, the frequency adjustment is DISABLE until time > start_up_delay
|
||||
|
||||
gtx_freq = 125_001_519
|
||||
|
||||
helper_init_freq = gtx_freq * (4096 - 1) / 4096
|
||||
|
||||
helper_filter = { # unused
|
||||
"KP": 2,
|
||||
"KI": 0.5,
|
||||
"KD": 0,
|
||||
}
|
||||
|
||||
main_filter = {
|
||||
"KP": 12,
|
||||
"KI": 0,
|
||||
"KD": 0,
|
||||
}
|
||||
|
||||
|
||||
# simulation have RNG for
|
||||
# - gtx, main and helper jitter
|
||||
# - starting phase for main and helper
|
||||
# - base_adpll error
|
||||
|
||||
|
||||
wrpll_sim = WRPLL_simulator(
|
||||
timestep=timestep,
|
||||
total_steps=total_steps,
|
||||
sim_mode=sim_mode,
|
||||
helper_filter=helper_filter,
|
||||
main_filter=main_filter,
|
||||
gtx_freq=gtx_freq,
|
||||
adpll_write_period=adpll_period,
|
||||
start_up_delay=start_up_delay,
|
||||
helper_init_freq=helper_init_freq,
|
||||
)
|
||||
wrpll_sim.run()
|
||||
|
||||
# %%
|
||||
# faster than pyplot with resampling feature
|
||||
# see https://github.com/predict-idlab/plotly-resampler
|
||||
|
||||
fig = FigureWidgetResampler(make_subplots(rows=4, shared_xaxes=True))
|
||||
fig.add_trace(
|
||||
go.Scattergl(name="phase error"),
|
||||
hf_x=wrpll_sim.time,
|
||||
hf_y=wrpll_sim.phase_err,
|
||||
row=1,
|
||||
col=1,
|
||||
)
|
||||
|
||||
fig.add_trace(
|
||||
go.Scattergl(name="freq error (ppm)"),
|
||||
hf_x=wrpll_sim.time,
|
||||
hf_y=(wrpll_sim.mainfreq - gtx_freq) * (1e6 / gtx_freq),
|
||||
row=2,
|
||||
col=1,
|
||||
)
|
||||
|
||||
fig.add_trace(
|
||||
go.Scattergl(name="period error"),
|
||||
hf_x=wrpll_sim.time,
|
||||
hf_y=wrpll_sim.period_err,
|
||||
row=3,
|
||||
col=1,
|
||||
)
|
||||
|
||||
fig.add_trace(
|
||||
go.Scattergl(name="gtx"), hf_x=wrpll_sim.time, hf_y=wrpll_sim.gtx + 1, row=4, col=1
|
||||
)
|
||||
fig.add_trace(
|
||||
go.Scattergl(name="main"), hf_x=wrpll_sim.time, hf_y=wrpll_sim.main, row=4, col=1
|
||||
)
|
||||
fig.add_trace(
|
||||
go.Scattergl(name="helper"),
|
||||
hf_x=wrpll_sim.time,
|
||||
hf_y=wrpll_sim.helper - 1,
|
||||
row=4,
|
||||
col=1,
|
||||
)
|
||||
|
||||
|
||||
fig.update_layout(
|
||||
xaxis4=dict(title="time (sec)"),
|
||||
yaxis1=dict(title="phase error"),
|
||||
yaxis2=dict(title="freq error (ppm)"),
|
||||
yaxis3=dict(title="beating period error"),
|
||||
yaxis4=dict(title="Signal"),
|
||||
height=1000,
|
||||
showlegend=True,
|
||||
title_text="PLL example",
|
||||
legend=dict(
|
||||
orientation="h",
|
||||
yanchor="bottom",
|
||||
y=1.02,
|
||||
xanchor="right",
|
||||
x=1,
|
||||
),
|
||||
)
|
||||
|
||||
fig
|
||||
Loading…
Reference in New Issue