Files
brewpi/scripts/demos/sud/demo_sud.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

218 lines
5.7 KiB
Python

import json
import numpy as np
from matplotlib.pyplot import plot, step, figure, subplot, grid, show, legend, yticks
from components.sud import Sud, SudState
from components.pid.temp_controller_smith import TempController
from components.plant.pot import Pot
from components.actor.stirrersim import StirrerSim
from components.actor.heater_sim import HeaterSim
# A real user would click "Confirm" in the GUI; auto-confirm after this many
# simulated seconds so the demo can run to completion unattended.
WAIT_USER_AUTO_CONFIRM_S = 30.0
if __name__ == '__main__':
dt = 1.0
theta_amb = 20
ctrl_params = {
"Hold": {
"kp": 0.4,
"ki": 0.0,
"kd": 0.0,
"kt": 0.0
},
"Heat": {
"kp": 0.08,
"ki": 0.02,
"kd": 0.0,
"kt": 1.5
},
"Cool": {
"kp": 0.08,
"ki": 0.02,
"kd": 0.0,
"kt": 1.5
}
}
sud = Sud()
with open("sude/sud_0010.json") as f:
sud.load(json.load(f))
first_step = sud.schedule[0]
plant_params = {
**sud.derive_plant_params(first_step['grain_mass'], first_step['water_mass']),
"L" : 0.2,
"Td" : 60
}
ctrl = TempController(dt, plant_params, theta_amb)
ctrl.set_params(ctrl_params)
plant = Pot(dt)
plant.set_plant_params(plant_params)
plant.set_ambient_temperature(theta_amb)
stirrer = StirrerSim(dt)
heater = HeaterSim({})
# Mirror brewpi.py's data flow: the controller's internal Smith-predictor
# model sees the (continuous) requested power, the real plant sees the
# heater's actual (discretized) output power.
heater.set_on_changed('power_set', ctrl.set_model_power)
heater.set_on_changed('power_eff', plant.set_power)
def apply_stirrer(phase):
stirrer_cfg = phase.get('stirrer', {})
speed = stirrer_cfg.get('speed', 0)
interval_time = stirrer_cfg.get('interval_time', 0)
on_ratio = stirrer_cfg.get('on_ratio', 1.0)
if interval_time > 0:
stirrer.set_cycle_time(interval_time)
stirrer.set_duty_cycle(on_ratio)
else:
stirrer.set_cycle_time(1.0)
stirrer.set_duty_cycle(1.0 if speed > 0 else 0.0)
stirrer.set_speed(speed)
def apply_plant_params(step):
params = sud.derive_plant_params(step['grain_mass'], step['water_mass'])
plant.set_thermal_params(params['M'], params['C'])
ctrl.set_model_params(params['M'], params['C'])
def on_step_changed(step):
# A step may carry both 'ramp' and 'hold' (ramp to temp, then hold);
# sud.state tells us which phase is currently active.
if step is not None:
ramping = sud.state == SudState.RAMPING
phase = step['ramp'] if ramping else step.get('hold', {})
print(f"Step {step['number']}: {step['descr']}")
apply_plant_params(step)
if ramping and step['temperature'] is not None:
ctrl.set_theta_soll(step['temperature'])
ctrl.set_heatrate_soll(step['ramp']['rate'])
apply_stirrer(phase)
def on_state_changed(state):
if state == SudState.WAIT_USER and sud.user_message:
print("Sud: {}".format(sud.user_message))
if state in (SudState.DONE, SudState.IDLE):
stirrer.set_duty_cycle(1.0)
stirrer.set_speed(0)
ctrl.set_enabled(False)
else:
ctrl.set_enabled(True)
sud.set_on_changed('step', on_step_changed)
sud.set_on_changed('state', on_state_changed)
sud.start()
_t = []
_temp_ist = []
_temp_soll = []
_heatrate_ist = []
_heatrate_soll = []
_sud_state = []
_step_index = []
_stirrer_speed = []
_heater_power_set = []
_heater_power_eff = []
_plant_M = []
_plant_C = []
wait_user_elapsed = 0.0
t = 0.0
steps = 0
max_steps = 30000
while sud.state != SudState.DONE and steps < max_steps:
plant.process()
ctrl.set_theta_ist(plant.get_temperature())
ctrl.process()
y = ctrl.get_power()
heater.set_power(max(0, 3500*y))
heater.process()
stirrer.process()
if sud.state == SudState.RAMPING:
if ctrl.is_holding():
sud.temp_reached()
if sud.state == SudState.WAIT_USER:
wait_user_elapsed += dt
if wait_user_elapsed >= WAIT_USER_AUTO_CONFIRM_S:
sud.confirm()
wait_user_elapsed = 0.0
else:
wait_user_elapsed = 0.0
sud.tick(dt)
_t.append(t)
_temp_ist.append(ctrl.get_theta_ist())
_temp_soll.append(ctrl.get_theta_soll_set())
_heatrate_ist.append(ctrl.get_heatrate_ist())
_heatrate_soll.append(ctrl.get_heatrate_soll())
_sud_state.append(sud.state.value)
_step_index.append(sud.index)
_stirrer_speed.append(stirrer.speed * stirrer.isOn)
_heater_power_set.append(heater.power_set)
_heater_power_eff.append(heater.power_eff)
_plant_M.append(plant.M)
_plant_C.append(plant.C)
t += dt
steps += 1
if sud.state != SudState.DONE:
print("Sud did not finish within {} steps (stuck in {})".format(max_steps, sud.state))
print("Sud finished after {:.0f} s ({:.1f} min), final state = {}".format(t, t/60.0, sud.state))
_t_arr = np.array(_t)
figure(1)
subplot(3, 1, 1)
plot(_t_arr, _temp_ist, '-b', _t_arr, _temp_soll, '-r', linewidth=1)
legend(["theta_ist", "theta_soll"])
grid(True)
subplot(3, 1, 2)
plot(_t_arr, _heatrate_ist, '-b', _t_arr, _heatrate_soll, '-r', linewidth=1)
legend(["heatrate_ist", "heatrate_soll"])
grid(True)
subplot(3, 1, 3)
plot(_t_arr, _heater_power_set, '-r', _t_arr, _heater_power_eff, '-b', linewidth=1)
legend(["heater power_set", "heater power_eff"])
grid(True)
figure(2)
subplot(3, 1, 1)
step(_t_arr, _sud_state, where='post', color='m')
yticks([0, 1, 2, 3, 4], ["IDLE", "RAMPING", "HOLDING", "WAIT_USER", "DONE"])
legend(["Sud state"])
grid(True)
subplot(3, 1, 2)
step(_t_arr, _step_index, where='post', color='k')
legend(["Step index"])
grid(True)
subplot(3, 1, 3)
plot(_t_arr, _stirrer_speed, '-g', linewidth=1)
legend(["stirrer speed (effective)"])
grid(True)
figure(3)
subplot(2, 1, 1)
plot(_t_arr, _plant_M, '-b', linewidth=1)
legend(["plant M (kg)"])
grid(True)
subplot(2, 1, 2)
plot(_t_arr, _plant_C, '-b', linewidth=1)
legend(["plant C (J/(kg*K))"])
grid(True)
show()
print("End of program")