예제 #1
0
    def state_control(self, CS):
        """Given the state, this function returns an actuators packet"""

        # Update VehicleModel
        params = self.sm['liveParameters']
        x = max(params.stiffnessFactor, 0.1)
        sr = max(params.steerRatio, 0.1)
        self.VM.update_params(x, sr)

        lat_plan = self.sm['lateralPlan']
        long_plan = self.sm['longitudinalPlan']

        actuators = car.CarControl.Actuators.new_message()
        actuators.longControlState = self.LoC.long_control_state

        if CS.leftBlinker or CS.rightBlinker:
            self.last_blinker_frame = self.sm.frame

        # State specific actions

        if not self.active:
            self.LaC.reset()
            self.LoC.reset(v_pid=CS.vEgo)

        if not self.joystick_mode:
            # accel PID loop
            pid_accel_limits = self.CI.get_pid_accel_limits(
                self.CP, CS.vEgo, self.v_cruise_kph * CV.KPH_TO_MS)
            actuators.accel = self.LoC.update(self.active, CS, self.CP,
                                              long_plan, pid_accel_limits)

            # Steering PID loop and lateral MPC
            desired_curvature, desired_curvature_rate = get_lag_adjusted_curvature(
                self.CP, CS.vEgo, lat_plan.psis, lat_plan.curvatures,
                lat_plan.curvatureRates)
            actuators.steer, actuators.steeringAngleDeg, lac_log = self.LaC.update(
                self.active, CS, self.CP, self.VM, params, desired_curvature,
                desired_curvature_rate)
        else:
            lac_log = log.ControlsState.LateralDebugState.new_message()
            if self.sm.rcv_frame['testJoystick'] > 0 and self.active:
                actuators.accel = 4.0 * clip(self.sm['testJoystick'].axes[0],
                                             -1, 1)

                steer = clip(self.sm['testJoystick'].axes[1], -1, 1)
                # max angle is 45 for angle-based cars
                actuators.steer, actuators.steeringAngleDeg = steer, steer * 45.

                lac_log.active = True
                lac_log.steeringAngleDeg = CS.steeringAngleDeg
                lac_log.output = steer
                lac_log.saturated = abs(steer) >= 0.9

        # Check for difference between desired angle and angle for angle based control
        angle_control_saturated = self.CP.steerControlType == car.CarParams.SteerControlType.angle and \
          abs(actuators.steeringAngleDeg - CS.steeringAngleDeg) > STEER_ANGLE_SATURATION_THRESHOLD

        if angle_control_saturated and not CS.steeringPressed and self.active:
            self.saturated_count += 1
        else:
            self.saturated_count = 0

        # Send a "steering required alert" if saturation count has reached the limit
        if (lac_log.saturated and not CS.steeringPressed) or \
           (self.saturated_count > STEER_ANGLE_SATURATION_TIMEOUT):

            if len(lat_plan.dPathPoints):
                # Check if we deviated from the path
                left_deviation = actuators.steer > 0 and lat_plan.dPathPoints[
                    0] < -0.1
                right_deviation = actuators.steer < 0 and lat_plan.dPathPoints[
                    0] > 0.1

                if left_deviation or right_deviation:
                    self.events.add(EventName.steerSaturated)

        # Ensure no NaNs/Infs
        for p in ACTUATOR_FIELDS:
            attr = getattr(actuators, p)
            if not isinstance(attr, Number):
                continue

            if not math.isfinite(attr):
                cloudlog.error(
                    f"actuators.{p} not finite {actuators.to_dict()}")
                setattr(actuators, p, 0.0)

        return actuators, lac_log
예제 #2
0
    def state_control(self, CS):
        """Given the state, this function returns an actuators packet"""

        # Update VehicleModel
        params = self.sm['liveParameters']
        x = max(params.stiffnessFactor, 0.1)
        sr = max(params.steerRatio, 0.1)
        if not self.sm['dragonConf'].dpSrLearner:
            if self.sm['dragonConf'].dpSrCustom >= 10:
                sr = self.sm['dragonConf'].dpSrCustom
            else:
                sr = self.CP.steerRatio
        self.VM.update_params(x, sr)

        lat_plan = self.sm['lateralPlan']
        long_plan = self.sm['longitudinalPlan']

        actuators = car.CarControl.Actuators.new_message()

        if CS.leftBlinker or CS.rightBlinker:
            self.last_blinker_frame = self.sm.frame

        # State specific actions

        if not self.active:
            self.LaC.reset()
            self.LoC.reset(v_pid=CS.vEgo)

        if not self.joystick_mode:
            # Gas/Brake PID loop
            actuators.gas, actuators.brake, self.v_target, self.a_target = self.LoC.update(
                self.active, CS, self.CP, long_plan)

            # Steering PID loop and lateral MPC
            desired_curvature, desired_curvature_rate = get_lag_adjusted_curvature(
                self.CP, CS.vEgo, lat_plan.psis, lat_plan.curvatures,
                lat_plan.curvatureRates)
            actuators.steer, actuators.steeringAngleDeg, lac_log = self.LaC.update(
                self.active, CS, self.CP, self.VM, params, desired_curvature,
                desired_curvature_rate)
        else:
            lac_log = log.ControlsState.LateralDebugState.new_message()
            if self.sm.rcv_frame['testJoystick'] > 0 and self.active:
                gb = clip(self.sm['testJoystick'].axes[0], -1, 1)
                actuators.gas, actuators.brake = max(gb, 0), max(-gb, 0)

                steer = clip(self.sm['testJoystick'].axes[1], -1, 1)
                # max angle is 45 for angle-based cars
                actuators.steer, actuators.steeringAngleDeg = steer, steer * 45.

                lac_log.active = True
                lac_log.steeringAngleDeg = CS.steeringAngleDeg
                lac_log.output = steer
                lac_log.saturated = abs(steer) >= 0.9

        # Check for difference between desired angle and angle for angle based control
        angle_control_saturated = self.CP.steerControlType == car.CarParams.SteerControlType.angle and \
          abs(actuators.steeringAngleDeg - CS.steeringAngleDeg) > STEER_ANGLE_SATURATION_THRESHOLD

        if angle_control_saturated and not CS.steeringPressed and self.active:
            self.saturated_count += 1
        else:
            self.saturated_count = 0

        # Send a "steering required alert" if saturation count has reached the limit
        if (lac_log.saturated and not CS.steeringPressed) or \
           (self.saturated_count > STEER_ANGLE_SATURATION_TIMEOUT):

            if len(lat_plan.dPathPoints):
                # Check if we deviated from the path
                left_deviation = actuators.steer > 0 and lat_plan.dPathPoints[
                    0] < -0.1
                right_deviation = actuators.steer < 0 and lat_plan.dPathPoints[
                    0] > 0.1

                if left_deviation or right_deviation:
                    self.events.add(EventName.steerSaturated)

        return actuators, lac_log
예제 #3
0
  def state_control(self, CS):
    """Given the state, this function returns a CarControl packet"""

    # Update VehicleModel
    params = self.sm['liveParameters']
    x = max(params.stiffnessFactor, 0.1)
    sr = max(params.steerRatio, 0.1)
    self.VM.update_params(x, sr)

    lat_plan = self.sm['lateralPlan']
    long_plan = self.sm['longitudinalPlan']

    CC = car.CarControl.new_message()
    CC.enabled = self.enabled
    # Check which actuators can be enabled
    CC.latActive = self.active and not CS.steerFaultTemporary and not CS.steerFaultPermanent and \
                     CS.vEgo > self.CP.minSteerSpeed and not CS.standstill
    CC.longActive = self.active and not self.events.any(ET.OVERRIDE) and self.CP.openpilotLongitudinalControl

    actuators = CC.actuators
    actuators.longControlState = self.LoC.long_control_state

    if CS.leftBlinker or CS.rightBlinker:
      self.last_blinker_frame = self.sm.frame

    # State specific actions

    if not CC.latActive:
      self.LaC.reset()
    if not CC.longActive:
      self.LoC.reset(v_pid=CS.vEgo)

    if not self.joystick_mode:
      # accel PID loop
      pid_accel_limits = self.CI.get_pid_accel_limits(self.CP, CS.vEgo, self.v_cruise_kph * CV.KPH_TO_MS)
      t_since_plan = (self.sm.frame - self.sm.rcv_frame['longitudinalPlan']) * DT_CTRL
      actuators.accel = self.LoC.update(CC.longActive, CS, long_plan, pid_accel_limits, t_since_plan)

      # Steering PID loop and lateral MPC
      self.desired_curvature, self.desired_curvature_rate = get_lag_adjusted_curvature(self.CP, CS.vEgo,
                                                                                       lat_plan.psis,
                                                                                       lat_plan.curvatures,
                                                                                       lat_plan.curvatureRates)
      actuators.steer, actuators.steeringAngleDeg, lac_log = self.LaC.update(CC.latActive, CS, self.VM, params,
                                                                             self.last_actuators, self.desired_curvature,
                                                                             self.desired_curvature_rate, self.sm['liveLocationKalman'])
    else:
      lac_log = log.ControlsState.LateralDebugState.new_message()
      if self.sm.rcv_frame['testJoystick'] > 0:
        if CC.longActive:
          actuators.accel = 4.0*clip(self.sm['testJoystick'].axes[0], -1, 1)

        if CC.latActive:
          steer = clip(self.sm['testJoystick'].axes[1], -1, 1)
          # max angle is 45 for angle-based cars
          actuators.steer, actuators.steeringAngleDeg = steer, steer * 45.

        lac_log.active = self.active
        lac_log.steeringAngleDeg = CS.steeringAngleDeg
        lac_log.output = actuators.steer
        lac_log.saturated = abs(actuators.steer) >= 0.9

    # Send a "steering required alert" if saturation count has reached the limit
    if lac_log.active and lac_log.saturated and not CS.steeringPressed:
      dpath_points = lat_plan.dPathPoints
      if len(dpath_points):
        # Check if we deviated from the path
        # TODO use desired vs actual curvature
        left_deviation = actuators.steer > 0 and dpath_points[0] < -0.20
        right_deviation = actuators.steer < 0 and dpath_points[0] > 0.20

        if left_deviation or right_deviation:
          self.events.add(EventName.steerSaturated)

    # Ensure no NaNs/Infs
    for p in ACTUATOR_FIELDS:
      attr = getattr(actuators, p)
      if not isinstance(attr, SupportsFloat):
        continue

      if not math.isfinite(attr):
        cloudlog.error(f"actuators.{p} not finite {actuators.to_dict()}")
        setattr(actuators, p, 0.0)

    return CC, lac_log
예제 #4
0
    def state_control(self, CS):
        """Given the state, this function returns an actuators packet"""

        # Update VehicleModel
        params = self.sm['liveParameters']
        x = max(params.stiffnessFactor, 0.1)
        #sr = max(params.steerRatio, 0.1)

        if ntune_common_enabled('useLiveSteerRatio'):
            sr = max(params.steerRatio, 0.1)
        else:
            sr = max(ntune_common_get('steerRatio'), 0.1)

        self.VM.update_params(x, sr)

        lat_plan = self.sm['lateralPlan']
        long_plan = self.sm['longitudinalPlan']

        actuators = car.CarControl.Actuators.new_message()
        actuators.longControlState = self.LoC.long_control_state

        if CS.leftBlinker or CS.rightBlinker:
            self.last_blinker_frame = self.sm.frame

        # State specific actions

        if not self.active:
            self.LaC.reset()
            self.LoC.reset(v_pid=CS.vEgo)

        if not CS.cruiseState.enabledAcc:
            self.LoC.reset(v_pid=CS.vEgo)

        if not self.joystick_mode:
            # accel PID loop
            pid_accel_limits = self.CI.get_pid_accel_limits(
                self.CP, CS.vEgo, self.v_cruise_kph * CV.KPH_TO_MS)
            t_since_plan = (self.sm.frame -
                            self.sm.rcv_frame['longitudinalPlan']) * DT_CTRL
            actuators.accel = self.LoC.update(
                self.active and CS.cruiseState.enabledAcc, CS, self.CP,
                long_plan, pid_accel_limits, t_since_plan,
                self.sm['radarState'])

            # Steering PID loop and lateral MPC
            lat_active = self.active and not CS.steerWarning and not CS.steerError and CS.vEgo > self.CP.minSteerSpeed
            t_since_plan = (self.sm.frame -
                            self.sm.rcv_frame['lateralPlan']) * DT_CTRL
            desired_curvature, desired_curvature_rate = get_lag_adjusted_curvature(
                self.CP, CS.vEgo, lat_plan.psis, lat_plan.curvatures,
                lat_plan.curvatureRates, t_since_plan)
            actuators.steer, actuators.steeringAngleDeg, lac_log = self.LaC.update(
                lat_active, CS, self.CP, self.VM, params, self.last_actuators,
                desired_curvature, desired_curvature_rate)
        else:
            lac_log = log.ControlsState.LateralDebugState.new_message()
            if self.sm.rcv_frame['testJoystick'] > 0 and self.active:
                actuators.accel = 4.0 * clip(self.sm['testJoystick'].axes[0],
                                             -1, 1)

                steer = clip(self.sm['testJoystick'].axes[1], -1, 1)
                # max angle is 45 for angle-based cars
                actuators.steer, actuators.steeringAngleDeg = steer, steer * 45.

                lac_log.active = True
                lac_log.steeringAngleDeg = CS.steeringAngleDeg
                lac_log.output = steer
                lac_log.saturated = abs(steer) >= 0.9

        # Send a "steering required alert" if saturation count has reached the limit
        if lac_log.active and lac_log.saturated and not CS.steeringPressed:
            dpath_points = lat_plan.dPathPoints
            if len(dpath_points):
                # Check if we deviated from the path
                # TODO use desired vs actual curvature
                left_deviation = actuators.steer > 0 and dpath_points[0] < -0.20
                right_deviation = actuators.steer < 0 and dpath_points[0] > 0.20

                if left_deviation or right_deviation:
                    self.events.add(EventName.steerSaturated)

        # Ensure no NaNs/Infs
        for p in ACTUATOR_FIELDS:
            attr = getattr(actuators, p)
            if not isinstance(attr, Number):
                continue

            if not math.isfinite(attr):
                cloudlog.error(
                    f"actuators.{p} not finite {actuators.to_dict()}")
                setattr(actuators, p, 0.0)

        return actuators, lac_log