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README.md
16
README.md
@ -239,6 +239,22 @@ of channel 0 to the PID algorithm:
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output 0 pid
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output 0 pid
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```
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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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## LED indicators
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| Name | Color | Meaning |
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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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To use the Python real-time plotting utility, run
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```shell
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```shell
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python pythermostat/plot.py
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python pythermostat/pythermostat/plot.py
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```
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```
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![default view](./assets/default%20view.png)
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![default view](./assets/default%20view.png)
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@ -49,7 +49,7 @@ A PID auto tuning utility is provided in the PyThermostat library. The auto tuni
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To run the auto tuning utility, run
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To run the auto tuning utility, run
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```shell
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```shell
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python pythermostat/autotune.py
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python pythermostat/pythermostat/autotune.py
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```
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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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After some time, the auto tuning utility will output the auto tuning results, below is a sample output
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@ -1,5 +1,6 @@
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import math
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import math
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import logging
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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 collections import deque, namedtuple
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from enum import Enum
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from enum import Enum
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@ -236,13 +237,14 @@ def main():
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tec = Client()
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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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ch = data[channel]
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tuner = PIDAutotune(target_temperature, output_step,
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tuner = PIDAutotune(target_temperature, output_step,
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lookback, noiseband, ch['interval'])
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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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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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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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tec.set_param("output", channel, "i_set", 0)
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