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29
README.md
29
README.md
@ -189,31 +189,30 @@ Testing heat flow direction with a low set current is recommended before install
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### Limits
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Each MAX1968 TEC driver has analog/PWM inputs for setting
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Each channel has maximum value settings, for setting
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output limits.
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Use the `output` command to see current settings and maximum values.
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Use the `output` command to see them.
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| Limit | Unit | Description |
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| --- | :---: | --- |
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| `max_v` | Volts | Maximum voltage |
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| `max_i_pos` | Amperes | Maximum positive current |
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| `max_i_neg` | Amperes | Maximum negative current |
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| `i_set` | Amperes | (Not a limit; Open-loop mode) |
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Example: set the maximum voltage of channel 0 to 1.5 V.
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```
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output 0 max_v 1.5
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```
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Example: set the maximum negative current of channel 0 to -3 A.
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Example: set the maximum negative current of channel 0 to -2 A.
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```
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output 0 max_i_neg 3
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output 0 max_i_neg 2
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```
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Example: set the maximum positive current of channel 1 to 3 A.
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Example: set the maximum positive current of channel 1 to 2 A.
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```
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output 0 max_i_pos 3
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output 1 max_i_pos 2
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```
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### Open-loop mode
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@ -240,6 +239,22 @@ of channel 0 to the PID algorithm:
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output 0 pid
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```
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### PID output clamping
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It is possible to clamp the PID algorithm output independently of channel output limits. This is desirable when e.g. there is a need to keep the current value above a certain threshold in closed-loop mode.
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Note that the actual output will still ultimately be limited by the `max_i_pos` and `max_i_neg` values.
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Set PID maximum output of channel 0 to 1.5 A.
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```
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pid 0 output_max 1.5
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```
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Set PID minimum output of channel 0 to 0.1 A.
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```
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pid 0 output_min 0.1
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```
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## LED indicators
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| Name | Color | Meaning |
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@ -13,7 +13,7 @@ When tuning Thermostat PID parameters, it is helpful to view the temperature, PI
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To use the Python real-time plotting utility, run
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```shell
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python pytec/plot.py
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python pythermostat/pythermostat/plot.py
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```
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![default view](./assets/default%20view.png)
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@ -44,12 +44,12 @@ Below are some general guidelines for manually tuning PID loops. Note that every
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## Auto Tuning
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A PID auto tuning utility is provided in the Pytec library. The auto tuning utility drives the the load to a controlled oscillation, observes the ultimate gain and oscillation period and calculates a set of PID parameters.
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A PID auto tuning utility is provided in the PyThermostat library. The auto tuning utility drives the the load to a controlled oscillation, observes the ultimate gain and oscillation period and calculates a set of PID parameters.
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To run the auto tuning utility, run
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```shell
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python pytec/autotune.py
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python pythermostat/pythermostat/autotune.py
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```
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After some time, the auto tuning utility will output the auto tuning results, below is a sample output
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15
flake.nix
15
flake.nix
@ -57,10 +57,23 @@
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dontFixup = true;
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auditable = false;
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};
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pythermostat = pkgs.python3Packages.buildPythonPackage {
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pname = "pythermostat";
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version = "0.0.0";
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format = "pyproject";
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src = "${self}/pythermostat";
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propagatedBuildInputs =
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with pkgs.python3Packages; [
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numpy
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matplotlib
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];
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};
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in
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{
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packages.x86_64-linux = {
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inherit thermostat;
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inherit thermostat pythermostat;
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default = thermostat;
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};
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128
pytec/plot.py
128
pytec/plot.py
@ -1,128 +0,0 @@
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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from threading import Thread, Lock
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from pytec.client import Client
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TIME_WINDOW = 300.0
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tec = Client()
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target_temperature = tec.get_pid()[0]['target']
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print("Channel 0 target temperature: {:.3f}".format(target_temperature))
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class Series:
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def __init__(self, conv=lambda x: x):
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self.conv = conv
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self.x_data = []
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self.y_data = []
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def append(self, x, y):
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self.x_data.append(x)
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self.y_data.append(self.conv(y))
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def clip(self, min_x):
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drop = 0
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while drop < len(self.x_data) and self.x_data[drop] < min_x:
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drop += 1
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self.x_data = self.x_data[drop:]
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self.y_data = self.y_data[drop:]
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series = {
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# 'adc': Series(),
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# 'sens': Series(lambda x: x * 0.0001),
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'temperature': Series(),
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# 'i_set': Series(),
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'pid_output': Series(),
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# 'vref': Series(),
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# 'dac_value': Series(),
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# 'dac_feedback': Series(),
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# 'i_tec': Series(),
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'tec_i': Series(),
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'tec_u_meas': Series(),
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# 'interval': Series(),
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}
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series_lock = Lock()
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quit = False
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def recv_data(tec):
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global last_packet_time
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for data in tec.report_mode():
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ch0 = data[0]
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series_lock.acquire()
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try:
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for k, s in series.items():
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if k in ch0:
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v = ch0[k]
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if type(v) is float:
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s.append(ch0['time'], v)
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finally:
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series_lock.release()
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if quit:
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break
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thread = Thread(target=recv_data, args=(tec,))
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thread.start()
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fig, ax = plt.subplots()
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for k, s in series.items():
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s.plot, = ax.plot([], [], label=k)
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legend = ax.legend()
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def animate(i):
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min_x, max_x, min_y, max_y = None, None, None, None
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series_lock.acquire()
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try:
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for k, s in series.items():
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s.plot.set_data(s.x_data, s.y_data)
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if len(s.y_data) > 0:
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s.plot.set_label("{}: {:.3f}".format(k, s.y_data[-1]))
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if len(s.x_data) > 0:
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min_x_ = min(s.x_data)
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if min_x is None:
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min_x = min_x_
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else:
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min_x = min(min_x, min_x_)
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max_x_ = max(s.x_data)
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if max_x is None:
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max_x = max_x_
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else:
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max_x = max(max_x, max_x_)
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if len(s.y_data) > 0:
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min_y_ = min(s.y_data)
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if min_y is None:
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min_y = min_y_
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else:
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min_y = min(min_y, min_y_)
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max_y_ = max(s.y_data)
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if max_y is None:
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max_y = max_y_
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else:
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max_y = max(max_y, max_y_)
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if min_x and max_x - TIME_WINDOW > min_x:
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for s in series.values():
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s.clip(max_x - TIME_WINDOW)
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finally:
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series_lock.release()
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if min_x != max_x:
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ax.set_xlim(min_x, max_x)
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if min_y != max_y:
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margin_y = 0.01 * (max_y - min_y)
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ax.set_ylim(min_y - margin_y, max_y + margin_y)
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global legend
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legend.remove()
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legend = ax.legend()
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ani = animation.FuncAnimation(
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fig, animate, interval=1, blit=False, save_count=50)
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plt.show()
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quit = True
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thread.join()
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@ -1,12 +0,0 @@
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from setuptools import setup, find_packages
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setup(
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name="pytec",
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version="0.0",
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author="M-Labs",
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url="https://git.m-labs.hk/M-Labs/thermostat",
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description="Control TEC",
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license="GPLv3",
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install_requires=["setuptools"],
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packages=find_packages(),
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)
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@ -1,4 +1,5 @@
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from pytec.client import Client
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import time
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from pythermostat.client import Client
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tec = Client() #(host="localhost", port=6667)
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tec.set_param("b-p", 1, "t0", 20)
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@ -7,5 +8,6 @@ print(tec.get_pid())
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print(tec.get_output())
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print(tec.get_postfilter())
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print(tec.get_b_parameter())
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for data in tec.report_mode():
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print(data)
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while True:
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print(tec.get_report())
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time.sleep(0.05)
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18
pythermostat/pyproject.toml
Normal file
18
pythermostat/pyproject.toml
Normal file
@ -0,0 +1,18 @@
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[build-system]
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requires = ["setuptools"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "pythermostat"
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version = "0.0"
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authors = [{name = "M-Labs"}]
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description = "Python utilities for the Sinara 8451 Thermostat"
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urls.Repository = "https://git.m-labs.hk/M-Labs/thermostat"
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license = {text = "GPLv3"}
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[project.gui-scripts]
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thermostat_plot = "pythermostat.plot:main"
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[project.scripts]
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thermostat_autotune = "pythermostat.autotune:main"
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thermostat_test = "pythermostat.test:main"
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@ -1,9 +1,10 @@
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import math
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import logging
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import time
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from collections import deque, namedtuple
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from enum import Enum
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from pytec.client import Client
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from pythermostat.client import Client
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# Based on hirshmann pid-autotune libiary
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# See https://github.com/hirschmann/pid-autotune
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@ -236,13 +237,14 @@ def main():
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tec = Client()
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data = next(tec.report_mode())
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data = tec.get_report()
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ch = data[channel]
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tuner = PIDAutotune(target_temperature, output_step,
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lookback, noiseband, ch['interval'])
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for data in tec.report_mode():
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while True:
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data = tec.get_report()
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ch = data[channel]
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@ -255,6 +257,8 @@ def main():
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tec.set_param("output", channel, "i_set", tuner_out)
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time.sleep(0.05)
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tec.set_param("output", channel, "i_set", 0)
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|
@ -1,7 +1,7 @@
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import socket
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import json
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import logging
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import time
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class CommandError(Exception):
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pass
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@ -147,36 +147,6 @@ class Client:
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"""Get Thermostat hardware revision"""
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return self._command("hwrev")
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def report_mode(self):
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"""Start reporting measurement values
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Example of yielded data::
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{'channel': 0,
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'time': 2302524,
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'adc': 0.6199188965423515,
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'sens': 6138.519310282602,
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'temperature': 36.87032392655527,
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'pid_engaged': True,
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'i_set': 2.0635816680889123,
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'vref': 1.494,
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'dac_value': 2.527790834044456,
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'dac_feedback': 2.523,
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'i_tec': 2.331,
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'tec_i': 2.0925,
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'tec_u_meas': 2.5340000000000003,
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'pid_output': 2.067581958092247}
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"""
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while True:
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self._socket.sendall("report\n".encode('utf-8'))
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line = self._read_line()
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if not line:
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break
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try:
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yield json.loads(line)
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except json.decoder.JSONDecodeError:
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pass
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time.sleep(0.05)
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def set_param(self, topic, channel, field="", value=""):
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"""Set configuration parameters
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|
137
pythermostat/pythermostat/plot.py
Normal file
137
pythermostat/pythermostat/plot.py
Normal file
@ -0,0 +1,137 @@
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import time
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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from threading import Thread, Lock
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from pythermostat.client import Client
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||||
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def main():
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TIME_WINDOW = 300.0
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tec = Client()
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target_temperature = tec.get_pid()[0]['target']
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print("Channel 0 target temperature: {:.3f}".format(target_temperature))
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class Series:
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def __init__(self, conv=lambda x: x):
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self.conv = conv
|
||||
self.x_data = []
|
||||
self.y_data = []
|
||||
|
||||
def append(self, x, y):
|
||||
self.x_data.append(x)
|
||||
self.y_data.append(self.conv(y))
|
||||
|
||||
def clip(self, min_x):
|
||||
drop = 0
|
||||
while drop < len(self.x_data) and self.x_data[drop] < min_x:
|
||||
drop += 1
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self.x_data = self.x_data[drop:]
|
||||
self.y_data = self.y_data[drop:]
|
||||
|
||||
series = {
|
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# 'adc': Series(),
|
||||
# 'sens': Series(lambda x: x * 0.0001),
|
||||
'temperature': Series(),
|
||||
# 'i_set': Series(),
|
||||
'pid_output': Series(),
|
||||
# 'vref': Series(),
|
||||
# 'dac_value': Series(),
|
||||
# 'dac_feedback': Series(),
|
||||
# 'i_tec': Series(),
|
||||
'tec_i': Series(),
|
||||
'tec_u_meas': Series(),
|
||||
# 'interval': Series(),
|
||||
}
|
||||
series_lock = Lock()
|
||||
|
||||
quit = False
|
||||
|
||||
def recv_data(tec):
|
||||
global last_packet_time
|
||||
while True:
|
||||
data = tec.get_report()
|
||||
ch0 = data[0]
|
||||
series_lock.acquire()
|
||||
try:
|
||||
for k, s in series.items():
|
||||
if k in ch0:
|
||||
v = ch0[k]
|
||||
if type(v) is float:
|
||||
s.append(ch0['time'], v)
|
||||
finally:
|
||||
series_lock.release()
|
||||
|
||||
if quit:
|
||||
break
|
||||
time.sleep(0.05)
|
||||
|
||||
thread = Thread(target=recv_data, args=(tec,))
|
||||
thread.start()
|
||||
|
||||
fig, ax = plt.subplots()
|
||||
|
||||
for k, s in series.items():
|
||||
s.plot, = ax.plot([], [], label=k)
|
||||
legend = ax.legend()
|
||||
|
||||
def animate(i):
|
||||
min_x, max_x, min_y, max_y = None, None, None, None
|
||||
|
||||
series_lock.acquire()
|
||||
try:
|
||||
for k, s in series.items():
|
||||
s.plot.set_data(s.x_data, s.y_data)
|
||||
if len(s.y_data) > 0:
|
||||
s.plot.set_label("{}: {:.3f}".format(k, s.y_data[-1]))
|
||||
|
||||
if len(s.x_data) > 0:
|
||||
min_x_ = min(s.x_data)
|
||||
if min_x is None:
|
||||
min_x = min_x_
|
||||
else:
|
||||
min_x = min(min_x, min_x_)
|
||||
max_x_ = max(s.x_data)
|
||||
if max_x is None:
|
||||
max_x = max_x_
|
||||
else:
|
||||
max_x = max(max_x, max_x_)
|
||||
if len(s.y_data) > 0:
|
||||
min_y_ = min(s.y_data)
|
||||
if min_y is None:
|
||||
min_y = min_y_
|
||||
else:
|
||||
min_y = min(min_y, min_y_)
|
||||
max_y_ = max(s.y_data)
|
||||
if max_y is None:
|
||||
max_y = max_y_
|
||||
else:
|
||||
max_y = max(max_y, max_y_)
|
||||
|
||||
if min_x and max_x - TIME_WINDOW > min_x:
|
||||
for s in series.values():
|
||||
s.clip(max_x - TIME_WINDOW)
|
||||
finally:
|
||||
series_lock.release()
|
||||
|
||||
if min_x != max_x:
|
||||
ax.set_xlim(min_x, max_x)
|
||||
if min_y != max_y:
|
||||
margin_y = 0.01 * (max_y - min_y)
|
||||
ax.set_ylim(min_y - margin_y, max_y + margin_y)
|
||||
|
||||
nonlocal legend
|
||||
legend.remove()
|
||||
legend = ax.legend()
|
||||
|
||||
ani = animation.FuncAnimation(
|
||||
fig, animate, interval=1, blit=False, save_count=50)
|
||||
|
||||
plt.show()
|
||||
quit = True
|
||||
thread.join()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
81
pythermostat/pythermostat/test.py
Normal file
81
pythermostat/pythermostat/test.py
Normal file
@ -0,0 +1,81 @@
|
||||
import argparse
|
||||
from contextlib import contextmanager
|
||||
from pythermostat.client import Client
|
||||
|
||||
|
||||
CHANNELS = 2
|
||||
|
||||
|
||||
def get_argparser():
|
||||
parser = argparse.ArgumentParser(description="Thermostat hardware testing script")
|
||||
|
||||
parser.add_argument("host", metavar="HOST", default="192.168.1.26", nargs="?")
|
||||
parser.add_argument("port", metavar="PORT", default=23, nargs="?")
|
||||
parser.add_argument(
|
||||
"-r",
|
||||
"--testing_resistance",
|
||||
default=10_000,
|
||||
help="Testing resistance value through SENS pin in Ohms",
|
||||
)
|
||||
parser.add_argument(
|
||||
"-d",
|
||||
"--deviation",
|
||||
default=1,
|
||||
help="Allowed deviation of resistance in percentage",
|
||||
)
|
||||
|
||||
return parser
|
||||
|
||||
|
||||
def main():
|
||||
args = get_argparser().parse_args()
|
||||
|
||||
min_allowed_resistance = args.testing_resistance * (1 - args.deviation / 100)
|
||||
max_allowed_resistance = args.testing_resistance * (1 + args.deviation / 100)
|
||||
|
||||
print(min_allowed_resistance, max_allowed_resistance)
|
||||
|
||||
thermostat = Client(args.host, args.port)
|
||||
for channel in range(CHANNELS):
|
||||
print(f"Channel {channel} is active")
|
||||
|
||||
print("Checking resistance through SENS input ....", end=" ")
|
||||
sens_resistance = thermostat.get_report()[channel]["sens"]
|
||||
if sens_resistance is not None:
|
||||
print(sens_resistance, "Ω")
|
||||
if min_allowed_resistance <= sens_resistance <= max_allowed_resistance:
|
||||
print("PASSED")
|
||||
else:
|
||||
print("FAILED")
|
||||
else:
|
||||
print("Floating SENS input! Is the channel connected?")
|
||||
|
||||
with preserve_thermostat_output_settings(thermostat, channel):
|
||||
test_output_settings = {
|
||||
"max_i_pos": 2,
|
||||
"max_i_neg": 2,
|
||||
"max_v": 4,
|
||||
"i_set": 0.1,
|
||||
"polarity": "normal",
|
||||
}
|
||||
for field, value in test_output_settings.items():
|
||||
thermostat.set_param("output", channel, field, value)
|
||||
|
||||
input(f"Check if channel {channel} current = 0.1 A, and press ENTER...")
|
||||
|
||||
input(f"Channel {channel} testing done, press ENTER to continue.")
|
||||
print()
|
||||
|
||||
print("Testing complete.")
|
||||
|
||||
|
||||
@contextmanager
|
||||
def preserve_thermostat_output_settings(client, channel):
|
||||
original_output_settings = client.get_output()[channel]
|
||||
yield original_output_settings
|
||||
for setting in "max_i_pos", "max_i_neg", "max_v", "i_set", "polarity":
|
||||
client.set_param("output", channel, setting, original_output_settings[setting])
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
Loading…
Reference in New Issue
Block a user