import math from cereal import log from opendbc.car.subaru.values import CAR as SUBARU_CAR from openpilot.selfdrive.controls.lib.latcontrol import LatControl # TODO This is speed dependent STEER_ANGLE_SATURATION_THRESHOLD = 2.5 # Degrees FORD_ANGLE_CATCH_UP_HORIZON = 1.25 # Seconds FORD_ANGLE_RATE_FILTER_TIME_CONSTANT = 0.15 # Seconds _ASCENT_ANGLE_TRACKING_GAIN = 0.25 _ASCENT_ANGLE_TRACKING_MAX_CORRECTION = 8.0 _ASCENT_ANGLE_TRACKING_MIN_SPEED = 5.0 def _ascent_angle_tracking_target(target_angle: float, steering_angle: float, v_ego: float, steering_pressed: bool) -> float: if steering_pressed or v_ego < _ASCENT_ANGLE_TRACKING_MIN_SPEED: return target_angle correction = (target_angle - steering_angle) * _ASCENT_ANGLE_TRACKING_GAIN correction = max(-_ASCENT_ANGLE_TRACKING_MAX_CORRECTION, min(_ASCENT_ANGLE_TRACKING_MAX_CORRECTION, correction)) return target_angle + correction def _ford_angle_tracking_saturated(angle_error: float, steering_rate: float) -> bool: """Only call a Ford angle request saturated when the EPS is not on track to catch it.""" catching_up = angle_error * steering_rate > 0.0 catching_up &= abs(angle_error) <= abs(steering_rate) * FORD_ANGLE_CATCH_UP_HORIZON return abs(angle_error) > STEER_ANGLE_SATURATION_THRESHOLD and not catching_up 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.is_ford = CP.brand == "ford" self.measured_angle_last = None self.measured_angle_rate = 0.0 def _update_measured_angle_rate(self, steering_angle: float, reset: bool) -> float: if reset or self.measured_angle_last is None: self.measured_angle_rate = 0.0 else: raw_rate = (steering_angle - self.measured_angle_last) / self.dt alpha = self.dt / (FORD_ANGLE_RATE_FILTER_TIME_CONSTANT + self.dt) self.measured_angle_rate += alpha * (raw_rate - self.measured_angle_rate) self.measured_angle_last = steering_angle return self.measured_angle_rate 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) 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: angle_steers_des = _ascent_angle_tracking_target( angle_steers_des, CS.steeringAngleDeg, CS.vEgo, bool(getattr(CS, "steeringPressed", False)), ) ford_angle_mode = self.is_ford and getattr(starpilot_toggles, "ford_lateral_mode", -1) == 2 measured_angle_rate = self._update_measured_angle_rate( float(CS.steeringAngleDeg), not active or bool(CS.steeringPressed) or not ford_angle_mode) 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 if ford_angle_mode: angle_control_saturated = _ford_angle_tracking_saturated(angle_error, measured_angle_rate) else: 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