import math from cereal import log from opendbc.car.subaru.values import CAR as SUBARU_CAR from openpilot.selfdrive.controls.lib.latcontrol import LatControl from openpilot.selfdrive.controls.lib.steering_saturation import STEER_ANGLE_SATURATION_THRESHOLD _ASCENT_ANGLE_TRACKING_GAIN = 0.25 _ASCENT_ANGLE_TRACKING_MAX_CORRECTION = 8.0 _ASCENT_ANGLE_TRACKING_MIN_SPEED = 9.0 _ASCENT_ANGLE_TRACKING_FULL_SPEED = 15.0 _ASCENT_ANGLE_TRACKING_TURN_START = 15.0 _ASCENT_ANGLE_TRACKING_TURN_FULL = 35.0 _ASCENT_LOW_SPEED_FILTER_MAX_SPEED = 10.0 _ASCENT_LOW_SPEED_FILTER_CENTER_ANGLE = 35.0 _ASCENT_LOW_SPEED_FILTER_TIME_CONSTANT = 0.18 def _clipped_weight(value: float, start: float, end: float) -> float: return max(0.0, min(1.0, (value - start) / (end - start))) def _ascent_angle_tracking_target(target_angle: float, steering_angle: float, v_ego: float, steering_pressed: bool) -> float: if steering_pressed: return target_angle speed_weight = _clipped_weight(v_ego, _ASCENT_ANGLE_TRACKING_MIN_SPEED, _ASCENT_ANGLE_TRACKING_FULL_SPEED) turn_weight = _clipped_weight(abs(target_angle), _ASCENT_ANGLE_TRACKING_TURN_START, _ASCENT_ANGLE_TRACKING_TURN_FULL) correction = (target_angle - steering_angle) * _ASCENT_ANGLE_TRACKING_GAIN * max(speed_weight, turn_weight) correction = max(-_ASCENT_ANGLE_TRACKING_MAX_CORRECTION, min(_ASCENT_ANGLE_TRACKING_MAX_CORRECTION, correction)) return target_angle + correction def _ascent_low_speed_angle_target(target_angle: float, previous_target: float, v_ego: float, steering_pressed: bool, dt: float) -> float: if steering_pressed: return target_angle speed_weight = 1.0 - _clipped_weight(v_ego, 0.0, _ASCENT_LOW_SPEED_FILTER_MAX_SPEED) center_weight = 1.0 - _clipped_weight(abs(target_angle), 0.0, _ASCENT_LOW_SPEED_FILTER_CENTER_ANGLE) time_constant = _ASCENT_LOW_SPEED_FILTER_TIME_CONSTANT * speed_weight * center_weight if time_constant <= 0.0: return target_angle alpha = dt / (time_constant + dt) return previous_target + alpha * (target_angle - previous_target) class LatControlAngle(LatControl): def __init__(self, CP, CI, dt): super().__init__(CP, CI, dt) self.sat_check_min_speed = 5. self.use_steer_limited_by_safety = CP.brand in ("tesla", "hyundai") self.is_ascent = CP.carFingerprint == SUBARU_CAR.SUBARU_ASCENT_2023 self.ascent_angle_target = None def update(self, active, CS, VM, params, steer_limited_by_safety, desired_curvature, curvature_limited, lat_delay, calibrated_pose, model_data, starpilot_toggles): angle_log = log.ControlsState.LateralAngleState.new_message() if not active: angle_log.active = False angle_steers_des = float(CS.steeringAngleDeg) self.ascent_angle_target = angle_steers_des else: angle_log.active = True angle_steers_des = math.degrees(VM.get_steer_from_curvature(-desired_curvature, CS.vEgo, params.roll)) angle_steers_des += params.angleOffsetDeg if self.is_ascent: if self.ascent_angle_target is None: self.ascent_angle_target = float(CS.steeringAngleDeg) self.ascent_angle_target = _ascent_low_speed_angle_target( angle_steers_des, self.ascent_angle_target, CS.vEgo, bool(getattr(CS, "steeringPressed", False)), self.dt, ) angle_steers_des = _ascent_angle_tracking_target( self.ascent_angle_target, CS.steeringAngleDeg, CS.vEgo, bool(getattr(CS, "steeringPressed", False)), ) if self.use_steer_limited_by_safety: # these cars' carcontrollers calculate max lateral accel and jerk, so we can rely on carOutput for saturation angle_control_saturated = steer_limited_by_safety else: # for cars which use a method of limiting torque such as a torque signal (Nissan and Toyota) # or relying on EPS (Ford Q3), carOutput does not capture maxing out torque # TODO: this can be improved angle_error = angle_steers_des - CS.steeringAngleDeg angle_control_saturated = abs(angle_error) > STEER_ANGLE_SATURATION_THRESHOLD angle_log.saturated = bool(self._check_saturation(angle_control_saturated, CS, False, curvature_limited)) angle_log.steeringAngleDeg = float(CS.steeringAngleDeg) angle_log.steeringAngleDesiredDeg = angle_steers_des return 0, float(angle_steers_des), angle_log