Files
brewpi/scripts/demos/pid/demo_temp_controller_smith.py
T
jensandClaude Sonnet 4.6 0a6d3e6462 TempControllerBase: require PID gains via set_params(), not the constructor
Mirrors components/pid/pid.py's own Pid.set_params() pattern: params/
thresholds start out None, and set_params() configures pid_hold/pid_heat/
pid_cool from them. process()/process_fsm() fail naturally (TypeError on
None) if called before set_params() - same as Pid.process() already does -
rather than a new bespoke check. Updates all callers (server/brewpi.py,
SudForecastEstimator, and the pid/sud demo scripts) to call set_params()
right after construction.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DkkuG48uHFCGKe6dPSERFk
2026-06-22 18:21:20 +02:00

123 lines
2.8 KiB
Python

import numpy as np
from matplotlib.pyplot import plot, figure, subplot, grid, show, legend
from components.plant.pot import Pot
from components.pid.temp_controller_smith import TempController
if __name__ == '__main__':
ctrl_params = {
"Hold": {
"kp": 0.4,
"ki": 0.0,
"kd": 0.0,
"kt": 0.0
},
"Heat": {
"kp": 0.08,
"ki": 0.008,
"kd": 0.0,
"kt": 1.5
},
"Cool": {
"kp": 0.08,
"ki": 0.008,
"kd": 0.0,
"kt": 1.5
}
}
plant_params = {
"theta" : 20,
"C" : 4190,
"M" : 20,
"L" : 0.2,
"Td" : 30,
"kn" : 0.2,
"gain" : 1.0
}
dt = 1.0
theta_amb = 20
k_noise = 0.001
temp_ist = 0
temp_soll = 20
heatrate_soll = 1.25
ctrl = TempController(dt, plant_params, theta_amb)
ctrl.set_params(ctrl_params)
ctrl.set_enabled(True)
plant = Pot(dt)
plant.set_plant_params(plant_params)
plant.set_ambient_temperature(theta_amb)
_y = np.empty(0)
_fb = np.empty(0)
_t = np.empty(0)
_temp_soll = np.empty(0)
_heatrate_ist = np.empty(0)
_temp_ist = np.empty(0)
_temp_ist_model = np.empty(0)
_temp_ist_model_delay = np.empty(0)
a = 0.5
fb = 0
rho = 0.02
temps = [{'Temp': 20, 'Duration': 1000}, {'Temp': 40, 'Duration': 1000}, {'Temp': 50, 'Duration': 1000}, {'Temp': 60, 'Duration': 1000}, {'Temp': 70, 'Duration': 1000}, {'Temp': 80, 'Duration': 1000}, {'Temp': 78, 'Duration': 1000}]
t = 0
for temp in temps:
temp_soll = temp['Temp']
hold_counter = temp['Duration']
hold = False
ctrl.set_theta_soll(temp_soll)
ctrl.set_heatrate_soll(heatrate_soll)
while True:
if hold:
if hold_counter == 0:
break
hold_counter -= 1
plant.process()
temp_ist = plant.get_temperature() + k_noise * np.random.randn()
ctrl.set_theta_ist(temp_ist)
ctrl.process()
y = 3500*ctrl.get_power()
power = max(0, y)
plant.set_power(power)
ctrl.set_model_power(power)
fb = plant.get_power()
if abs(temp_ist - temp_soll) < 0.1:
hold = True
temp_ist -= rho
_temp_ist = np.append(_temp_ist, temp_ist)
_temp_soll = np.append(_temp_soll, temp_soll)
_y = np.append(_y, y)
_fb = np.append(_fb, fb)
_t = np.append(_t, t)
_heatrate_ist = np.append(_heatrate_ist, max(-1, min(3, ctrl.heatrate_ist)))
_temp_ist_model = np.append(_temp_ist_model, ctrl.theta_ist_model)
_temp_ist_model_delay = np.append(_temp_ist_model_delay, ctrl.theta_ist_model_delay)
t += 1
figure(1)
subplot(3, 1, 1)
plot(_t, _temp_ist, _t, _temp_soll, 'r-', linewidth=1)
legend(["ist", "soll"])
grid(True)
subplot(3, 1, 2)
plot(_t, _y, '-b', _t, _fb, '-r', linewidth=1)
legend(["y", "pot"])
grid(True)
subplot(3, 1, 3)
plot(_t, _heatrate_ist, '-b', linewidth=1)
legend(["heatrate"])
grid(True)
figure(2)
plot(_t, _temp_ist, '-b', _t, _temp_ist_model, '-g', _t, _temp_ist_model_delay, '-r', linewidth=1)
legend(["plant", "model (fast)", "model (delayed)"])
grid(True)
show()
print("End of program")