jensandClaude Sonnet 4.6
ac8de9da55
[Sensor] - replace TempSensorSim's hardcoded k_noise with configurable temp_offset/variance, accept **kwargs on Max31865 too so both sensors share a constructor signature usable from TempSensorFactory.create() [Temp Controller] - low-pass filter the backward-difference heat-rate estimate (alpha=0.1) in both temp_controller.py and temp_controller_smith.py instead of using the raw, noisy derivative [Pot] - drop kn from demo_pot.py's params, matching the unused-field removal already made to pot.py itself Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
59 lines
1.2 KiB
Python
59 lines
1.2 KiB
Python
import numpy as np
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from matplotlib.pyplot import plot, figure, subplot, grid, show, legend
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from components.plant.pot import Pot
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if __name__ == '__main__':
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dt = 1.0
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power_on = 3500
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steps_heat = 4000
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steps_cool = 40000
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pot_params = {
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"theta" : 20,
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"C" : 4190,
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"M" : 20,
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"L" : 0.4,
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"Td" : 30,
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"gain" : 1.0
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}
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pot = Pot(dt, pot_params)
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_t = np.empty(0)
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_temp = np.empty(0)
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_p_pot = np.empty(0)
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_power = np.empty(0)
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t = 0
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pot.set_power(power_on)
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for _ in range(steps_heat):
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pot.process()
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_t = np.append(_t, t)
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_temp = np.append(_temp, pot.get_temperature())
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_p_pot = np.append(_p_pot, pot.get_p_pot())
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_power = np.append(_power, pot.get_power())
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t += 1
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pot.set_power(0)
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for _ in range(steps_cool):
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pot.process()
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_t = np.append(_t, t)
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_temp = np.append(_temp, pot.get_temperature())
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_p_pot = np.append(_p_pot, pot.get_p_pot())
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_power = np.append(_power, pot.get_power())
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t += 1
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figure(1)
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subplot(2, 1, 1)
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plot(_t, _temp, '-b', linewidth=1)
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legend(["temp"])
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grid(True)
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subplot(2, 1, 2)
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plot(_t, _power, '-g', _t, _p_pot, '-r', linewidth=1)
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legend(["power", "p_pot"])
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grid(True)
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show()
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print("End of program")
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