23f9c7c52f
* Add ema calculation class, calculate an emo temperature, use the ema_temperature in auto_window dectection * Removes circular dependency error * Fix ema_temp unknown and remove slope smoothing * 15 sec between two slope calculation * Take Maia feedbacks on the algo. * Maia comments: change MAX_ALPHA to 0.5, add slope calculation at each cycle. * With EMA entity and slope calculation optimisations * Change open_window_detection fake datapoint threshold * Try auto window new algo * Don't store datetime of fake datapoint * Change auto window threshold in °/hour --------- Co-authored-by: Jean-Marc Collin <jean-marc.collin-extern@renault.com>
112 lines
4.1 KiB
Python
112 lines
4.1 KiB
Python
# pylint: disable=line-too-long
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""" The PI algorithm implementation """
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import logging
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_LOGGER = logging.getLogger(__name__)
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class PITemperatureRegulator:
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"""A class implementing a PI Algorithm
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PI algorithms calculate a target temperature by adding an offset which is calculating as follow:
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- offset = kp * error + ki * accumulated_error
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To use it you must:
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- instanciate the class and gives the algorithm parameters: kp, ki, offset_max, stabilization_threshold, accumulated_error_threshold
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- call calculate_regulated_temperature with the internal and external temperature
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- call set_target_temp when the target temperature change.
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"""
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def __init__(
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self,
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target_temp: float,
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kp: float,
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ki: float,
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k_ext: float,
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offset_max: float,
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stabilization_threshold: float,
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accumulated_error_threshold: float,
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):
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self.target_temp: float = target_temp
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self.kp: float = kp # proportionnel gain
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self.ki: float = ki # integral gain
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self.k_ext: float = k_ext # exterior gain
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self.offset_max: float = offset_max
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self.stabilization_threshold: float = stabilization_threshold
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self.accumulated_error: float = 0
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self.accumulated_error_threshold: float = accumulated_error_threshold
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def reset_accumulated_error(self):
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"""Reset the accumulated error"""
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self.accumulated_error = 0
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def set_accumulated_error(self, accumulated_error):
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"""Allow to persist and restore the accumulated_error"""
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self.accumulated_error = accumulated_error
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def set_target_temp(self, target_temp):
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"""Set the new target_temp"""
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self.target_temp = target_temp
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# Do not reset the accumulated error
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# Discussion #191. After a target change we should reset the accumulated error which is certainly wrong now.
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if self.accumulated_error < 0:
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self.accumulated_error = 0
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def calculate_regulated_temperature(
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self, internal_temp: float, external_temp: float
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): # pylint: disable=unused-argument
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"""Calculate a new target_temp given some temperature"""
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if internal_temp is None:
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_LOGGER.warning(
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"Temporarily skipping the self-regulation algorithm while the configured sensor for room temperature is unavailable"
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)
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return self.target_temp
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if external_temp is None:
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_LOGGER.warning(
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"Temporarily skipping the self-regulation algorithm while the configured sensor for outdoor temperature is unavailable"
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)
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return self.target_temp
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# Calculate the error factor (P)
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error = self.target_temp - internal_temp
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# Calculate the sum of error (I)
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self.accumulated_error += error
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# Capping of the error
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self.accumulated_error = min(
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self.accumulated_error_threshold,
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max(-self.accumulated_error_threshold, self.accumulated_error),
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)
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# Calculate the offset (proportionnel + intégral)
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offset = self.kp * error + self.ki * self.accumulated_error
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# Calculate the exterior offset
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# For Maia tests - use the internal_temp vs external_temp and not target_temp - external_temp
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offset_ext = self.k_ext * (internal_temp - external_temp)
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# Capping of offset_ext
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total_offset = offset + offset_ext
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total_offset = min(self.offset_max, max(-self.offset_max, total_offset))
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# If temperature is near the target_temp, reset the accumulated_error
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# Issue #199 - don't reset the accumulation error
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# if abs(error) < self.stabilization_threshold:
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# _LOGGER.debug("Stabilisation")
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# self.accumulated_error = 0
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result = round(self.target_temp + total_offset, 1)
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_LOGGER.debug(
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"PITemperatureRegulator - Error: %.2f accumulated_error: %.2f offset: %.2f offset_ext: %.2f target_tem: %.1f regulatedTemp: %.1f",
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error,
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self.accumulated_error,
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offset,
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offset_ext,
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self.target_temp,
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result,
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)
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return result
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