fix: split inner-loop yi_max clamp to fix HOLD-state windup overshoot
Renames pid_hold/pid_heat/pid_cool to pid_outer/pid_inner/pid_inner_cool
to match what actually runs when, and splits inner-loop config into
Inner.Heat/Inner.Hold/Inner.Cool so the same PID instance gets a tight
yi_max ceiling only while HOLD drives it, without capping legitimate
1.5 K/min ramps. Fixes the overshoot from docs/overshoot_hold_windup.md
where a cold-water disturbance during HOLD wound up pid_heat's integral
term with no anti-windup engagement, taking ~35s+ to unwind naturally.
Breaking config change: Hold/Heat/Cool -> Outer/Inner.{Heat,Hold,Cool}
in config.json, both .tpl templates, the pid/sud demo scripts, and
replay_sim.py's CLI flags. Adds tests/components/pid/ (stdlib unittest)
covering the Pid clamp/recovery behavior and closed-loop disturbance,
ramp, and HOLD<->HEAT transition cases.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DGQhVQ2Y3yXAQTXhrxVd5u
This commit is contained in:
@@ -63,7 +63,7 @@ git history for `temp_controller.py`/`temp_controller_smith.py`).
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before that file was removed entirely — `Pot` dropped `gain`
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entirely, see `components/plant/TODO.md`.
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- [ ] **`pid_heat` can wind up during a `HOLD`-state disturbance with no
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- [x] **`pid_heat` can wind up during a `HOLD`-state disturbance with no
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anti-windup engagement.** A cold-water disturbance while holding drove
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`pid_heat`'s integral term up without ever saturating `y` (peaked at
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`y≈0.74` of the `1.0` ceiling), so the existing back-calculation
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@@ -75,16 +75,17 @@ git history for `temp_controller.py`/`temp_controller_smith.py`).
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disturbance itself peaked at, so no single clamp value can suppress the
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windup without also capping legitimate ramps. An FSM-gating alternative
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(freeze the loop's output in `HOLD` unless engaged) was also superseded.
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Current plan: rename `pid_hold`/`pid_heat`/`pid_cool` to `pid_outer`/
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Fixed: renamed `pid_hold`/`pid_heat`/`pid_cool` to `pid_outer`/
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`pid_inner`/`pid_inner_cool` (matching what actually runs when), and
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split the inner loop's config into `Inner.Heat`/`Inner.Hold`/
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`Inner.Cool` so the *same* PID instance gets a tight `yi_max` only while
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`HOLD` is driving it and stays unclamped for real `HEAT` ramps — no
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freeze/thaw, bumpless transfer preserved for free. See
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`docs/overshoot_hold_windup.md` for the full writeup and test plan. This
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is also a breaking config change (`Hold`/`Heat`/`Cool` → `Outer`/
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`Inner.*`) — every deployed `config.json` needs migrating, not just the
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repo templates.
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`docs/overshoot_hold_windup.md` for the full writeup. This was also a
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breaking config change (`Hold`/`Heat`/`Cool` → `Outer`/`Inner.*`) —
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`config.json`, the templates, and the demo scripts were all migrated.
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Test coverage for this (closed-loop disturbance/ramp/transition cases)
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is still outstanding — see the "No automated tests" item above.
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- [ ] **`kalman.py` is now dead code in production.** Neither
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`temp_controller.py` nor `temp_controller_smith.py` uses `Kalman`
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@@ -35,6 +35,9 @@ class Pid:
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kt = self.params['kt'] * scale
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self.yi = self.yi + ki*dt * err + kt*dt * self.awu
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yi_max = self.params.get('yi_max')
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if yi_max is not None:
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self.yi = max(-yi_max, min(yi_max, self.yi))
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yd = kd/dt*(d - self.d)
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yp = kp * err
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@@ -19,6 +19,8 @@ class TempControllerBase(TempControllerFsm, APid):
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# params/set_params() (components/pid/pid.py), whose process()
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# already relies on the same "None means not configured yet".
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self.params = None
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self._inner_heat_params = None
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self._inner_hold_params = None
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self.y = -1
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# Heat-rate pre-filter state (option A) - None until first process() tick
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self.last_theta_ist = None
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@@ -29,9 +31,10 @@ class TempControllerBase(TempControllerFsm, APid):
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self.params = params
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self.thresholds = {**DEFAULT_THRESHOLDS, **params.get('Thresholds', {})}
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self.beta = params.get('beta', 0.05)
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self.pid_hold.set_params(params['Hold'])
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self.pid_heat.set_params(params['Heat'])
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self.pid_cool.set_params(params['Cool'])
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self.pid_outer.set_params(params['Outer'])
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self._inner_heat_params = params['Inner']['Heat']
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self._inner_hold_params = params['Inner']['Hold']
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self.pid_inner_cool.set_params(params['Inner']['Cool'])
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def _compute_heatrate(self, theta_ist):
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"""Pre-filter theta_ist, then differentiate and low-pass to get heatrate_ist.
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@@ -131,31 +134,33 @@ class TempControllerBase(TempControllerFsm, APid):
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return self.heatrate_soll_set
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def process_pid(self, theta_err, hold_scale=1.0):
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self.pid_hold.process(theta_err, -self.theta_ist, hold_scale)
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# In HOLD state, clamp pid_hold's output to [0, 1]: a small temperature
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# overshoot makes pid_hold.y go negative, which would invert heatrate_soll
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# and drive pid_heat's power to 0, causing a limit cycle (power on →
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self.pid_outer.process(theta_err, -self.theta_ist, hold_scale)
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# In HOLD state, clamp pid_outer's output to [0, 1]: a small temperature
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# overshoot makes pid_outer.y go negative, which would invert heatrate_soll
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# and drive pid_inner's power to 0, causing a limit cycle (power on →
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# overshoot → power off → coast down → repeat). Clamping to 0 lets the
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# outer loop reduce the inner setpoint to zero but no further.
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pid_hold_y = self.pid_hold.get_y()
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pid_outer_y = self.pid_outer.get_y()
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if self.state == States.HOLD:
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pid_hold_y = max(0.0, pid_hold_y)
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self.heatrate_soll = self.heatrate_soll_set * pid_hold_y
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pid_outer_y = max(0.0, pid_outer_y)
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self.heatrate_soll = self.heatrate_soll_set * pid_outer_y
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heatrate_err = self.heatrate_soll - self.heatrate_ist
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# Only the PID actually driving y is advanced - otherwise the
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# inactive one (e.g. pid_heat while COOL has pid_cool driving)
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# inactive one (e.g. pid_inner while COOL has pid_inner_cool driving)
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# would keep silently integrating against a heatrate_err that
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# isn't actually under its control, building a stale windup that
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# causes a discontinuity in y the moment it takes back over.
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if self.state == States.IDLE:
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self.y = 0
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elif self.state == States.COOL:
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self.pid_cool.process(heatrate_err, -self.heatrate_ist)
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self.y = self.pid_cool.get_y()
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self.pid_inner_cool.process(heatrate_err, -self.heatrate_ist)
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self.y = self.pid_inner_cool.get_y()
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else:
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self.pid_heat.process(heatrate_err, -self.heatrate_ist)
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self.y = self.pid_heat.get_y()
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inner_params = self._inner_heat_params if self.state == States.HEAT else self._inner_hold_params
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self.pid_inner.set_params(inner_params)
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self.pid_inner.process(heatrate_err, -self.heatrate_ist)
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self.y = self.pid_inner.get_y()
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self.post_pid()
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@@ -8,9 +8,9 @@ DEFAULT_THRESHOLDS = {
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# when COOL meant nothing more than going idle - it's an active state
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# with its own PID now, so a threshold this tight relative to a real
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# heater's discrete power steps/sensor noise causes the system to
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# chatter in and out of it every tick, resetting both pid_hold's and
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# pid_cool's integrators each time and never letting either actually
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# converge. Symmetric with the others instead.
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# chatter in and out of it every tick, resetting both pid_outer's and
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# pid_inner_cool's integrators each time and never letting either
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# actually converge. Symmetric with the others instead.
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"HoldCool": 1.0,
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"HeatHold": 1.0,
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"HeatCool": 1.0,
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@@ -30,14 +30,14 @@ class States(enum.Enum):
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class TempControllerFsm:
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def __init__(self, dt):
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self.pid_hold = Pid(dt)
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self.pid_heat = Pid(dt)
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self.pid_outer = Pid(dt)
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self.pid_inner = Pid(dt)
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# Separate gains for ramping down (negative diff) - the actuator
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# (e.g. a heat-only Pot/heater) is responsible for clamping the
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# resulting negative power to whatever it's actually capable of;
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# the controller itself no longer assumes "can't cool" == "must go
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# idle".
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self.pid_cool = Pid(dt)
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self.pid_inner_cool = Pid(dt)
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self.thresholds = None
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self.state = States.INIT
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self.is_startup = True
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@@ -80,13 +80,13 @@ class TempControllerFsm:
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# which calls this method directly), so an unconditional HOLD
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# here gets mistaken for "ramp already reached" and can finish
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# a freshly (re-)started step instantly - see SudTask.
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# on_process()'s is_holding() check. pid_heat/pid_cool were
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# frozen (see process_pid()) and possibly stale for as long as
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# we were disabled - start whichever one matters clean rather
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# on_process()'s is_holding() check. pid_inner/pid_inner_cool
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# were frozen (see process_pid()) and possibly stale for as long
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# as we were disabled - start whichever one matters clean rather
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# than resuming wherever it last left off.
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self.pid_hold.reset()
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self.pid_heat.reset()
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self.pid_cool.reset()
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self.pid_outer.reset()
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self.pid_inner.reset()
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self.pid_inner_cool.reset()
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if diff >= self.thresholds['HoldHeat']:
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state_next = States.HEAT
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elif diff <= -self.thresholds['HoldCool']:
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@@ -96,31 +96,31 @@ class TempControllerFsm:
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elif self.state == States.HOLD:
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if diff >= self.thresholds['HoldHeat']:
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state_next = States.HEAT
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# No pid_heat.reset() here — bumpless transfer: carry the
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# No pid_inner.reset() here — bumpless transfer: carry the
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# hold-phase integral into the new ramp so power doesn't
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# drop to near-zero and crawl back up from scratch.
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elif diff <= -self.thresholds['HoldCool']:
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state_next = States.COOL
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self.pid_cool.reset()
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self.pid_inner_cool.reset()
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elif self.state == States.HEAT:
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if diff <= -self.thresholds['HeatCool']:
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state_next = States.COOL
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self.pid_cool.reset()
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self.pid_inner_cool.reset()
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elif diff <= self.thresholds['HeatHold']:
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state_next = States.HOLD
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self.pid_hold.reset()
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self.pid_outer.reset()
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elif self.state == States.COOL:
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if diff >= self.thresholds['CoolHeat']:
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state_next = States.HEAT
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self.pid_heat.reset()
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self.pid_inner.reset()
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elif diff >= -self.thresholds['CoolHold']:
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state_next = States.HOLD
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self.pid_hold.reset()
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# pid_heat was frozen during COOL (see process_pid()) -
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self.pid_outer.reset()
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# pid_inner was frozen during COOL (see process_pid()) -
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# resume it clean rather than from whatever it last held
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# before COOL took over, which by now may be a stale fit
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# for a completely different part of the curve.
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self.pid_heat.reset()
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self.pid_inner.reset()
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if state_next != self.state:
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self.state = state_next
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@@ -46,7 +46,7 @@ class SudForecastEstimator:
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estimate() also duty-cycles the PID's continuous output across the
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heater's own discrete power steps (see its actuate() closure), exactly
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like the real run's HeaterTask/device chain does - feeding tc.get_power()
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straight to the plant instead lets pid_heat's own oscillatory tendency
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straight to the plant instead lets pid_inner's own oscillatory tendency
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reach the plant undamped, producing a forecast far more jagged than any
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real run actually is (the discrete steps end up duty-cycling it back
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down to something close to the commanded average)."""
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