Latcontrol: refactor pid error to factor out lateral jerk component (#36280)
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@@ -17,6 +17,7 @@ from openpilot.selfdrive.controls.lib.latcontrol_pid import LatControlPID
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from openpilot.selfdrive.controls.lib.latcontrol_angle import LatControlAngle, STEER_ANGLE_SATURATION_THRESHOLD
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from openpilot.selfdrive.controls.lib.latcontrol_torque import LatControlTorque
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from openpilot.selfdrive.controls.lib.longcontrol import LongControl
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from openpilot.selfdrive.modeld.modeld import LAT_SMOOTH_SECONDS
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from openpilot.selfdrive.locationd.helpers import PoseCalibrator, Pose
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State = log.SelfdriveState.OpenpilotState
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@@ -35,7 +36,7 @@ class Controls:
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self.CI = interfaces[self.CP.carFingerprint](self.CP)
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self.sm = messaging.SubMaster(['liveParameters', 'liveTorqueParameters', 'modelV2', 'selfdriveState',
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self.sm = messaging.SubMaster(['liveDelay', 'liveParameters', 'liveTorqueParameters', 'modelV2', 'selfdriveState',
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'liveCalibration', 'livePose', 'longitudinalPlan', 'carState', 'carOutput',
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'driverMonitoringState', 'onroadEvents', 'driverAssistance'], poll='selfdriveState')
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self.pm = messaging.PubMaster(['carControl', 'controlsState'])
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@@ -117,11 +118,12 @@ class Controls:
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# Reset desired curvature to current to avoid violating the limits on engage
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new_desired_curvature = model_v2.action.desiredCurvature if CC.latActive else self.curvature
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self.desired_curvature, curvature_limited = clip_curvature(CS.vEgo, self.desired_curvature, new_desired_curvature, lp.roll)
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lat_delay = self.sm["liveDelay"].lateralDelay + LAT_SMOOTH_SECONDS
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actuators.curvature = self.desired_curvature
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steer, steeringAngleDeg, lac_log = self.LaC.update(CC.latActive, CS, self.VM, lp,
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self.steer_limited_by_safety, self.desired_curvature,
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curvature_limited) # TODO what if not available
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curvature_limited, lat_delay)
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actuators.torque = float(steer)
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actuators.steeringAngleDeg = float(steeringAngleDeg)
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# Ensure no NaNs/Infs
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@@ -14,7 +14,7 @@ class LatControl(ABC):
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self.steer_max = 1.0
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@abstractmethod
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def update(self, active: bool, CS, VM, params, steer_limited_by_safety: bool, desired_curvature: float, calibrated_pose, curvature_limited: bool):
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def update(self, active: bool, CS, VM, params, steer_limited_by_safety: bool, desired_curvature: float, curvature_limited: bool, lat_delay: float):
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pass
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def reset(self):
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@@ -13,7 +13,7 @@ class LatControlAngle(LatControl):
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self.sat_check_min_speed = 5.
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self.use_steer_limited_by_safety = CP.brand == "tesla"
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def update(self, active, CS, VM, params, steer_limited_by_safety, desired_curvature, curvature_limited):
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def update(self, active, CS, VM, params, steer_limited_by_safety, desired_curvature, curvature_limited, lat_delay):
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angle_log = log.ControlsState.LateralAngleState.new_message()
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if not active:
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@@ -13,7 +13,7 @@ class LatControlPID(LatControl):
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k_f=CP.lateralTuning.pid.kf, pos_limit=self.steer_max, neg_limit=-self.steer_max)
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self.get_steer_feedforward = CI.get_steer_feedforward_function()
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def update(self, active, CS, VM, params, steer_limited_by_safety, desired_curvature, curvature_limited):
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def update(self, active, CS, VM, params, steer_limited_by_safety, desired_curvature, curvature_limited, lat_delay):
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pid_log = log.ControlsState.LateralPIDState.new_message()
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pid_log.steeringAngleDeg = float(CS.steeringAngleDeg)
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pid_log.steeringRateDeg = float(CS.steeringRateDeg)
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@@ -1,9 +1,11 @@
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import math
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import numpy as np
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from collections import deque
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from cereal import log
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from opendbc.car.lateral import FRICTION_THRESHOLD, get_friction
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from openpilot.common.constants import ACCELERATION_DUE_TO_GRAVITY
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from openpilot.selfdrive.controls.lib.drive_helpers import MIN_SPEED
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from openpilot.selfdrive.controls.lib.latcontrol import LatControl
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from openpilot.common.pid import PIDController
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@@ -29,9 +31,11 @@ class LatControlTorque(LatControl):
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self.torque_from_lateral_accel = CI.torque_from_lateral_accel()
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self.lateral_accel_from_torque = CI.lateral_accel_from_torque()
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self.pid = PIDController(self.torque_params.kp, self.torque_params.ki,
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k_f=self.torque_params.kf)
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k_f=self.torque_params.kf, rate=1/self.dt)
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self.update_limits()
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self.steering_angle_deadzone_deg = self.torque_params.steeringAngleDeadzoneDeg
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self.LATACCEL_REQUEST_BUFFER_NUM_FRAMES = int(1 / self.dt)
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self.requested_lateral_accel_buffer = deque([0.] * self.LATACCEL_REQUEST_BUFFER_NUM_FRAMES , maxlen=self.LATACCEL_REQUEST_BUFFER_NUM_FRAMES)
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def update_live_torque_params(self, latAccelFactor, latAccelOffset, friction):
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self.torque_params.latAccelFactor = latAccelFactor
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@@ -43,7 +47,7 @@ class LatControlTorque(LatControl):
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self.pid.set_limits(self.lateral_accel_from_torque(self.steer_max, self.torque_params),
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self.lateral_accel_from_torque(-self.steer_max, self.torque_params))
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def update(self, active, CS, VM, params, steer_limited_by_safety, desired_curvature, curvature_limited):
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def update(self, active, CS, VM, params, steer_limited_by_safety, desired_curvature, curvature_limited, lat_delay):
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pid_log = log.ControlsState.LateralTorqueState.new_message()
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if not active:
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output_torque = 0.0
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@@ -53,21 +57,29 @@ class LatControlTorque(LatControl):
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roll_compensation = params.roll * ACCELERATION_DUE_TO_GRAVITY
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curvature_deadzone = abs(VM.calc_curvature(math.radians(self.steering_angle_deadzone_deg), CS.vEgo, 0.0))
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desired_lateral_accel = desired_curvature * CS.vEgo ** 2
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delay_frames = int(np.clip(lat_delay / self.dt, 1, self.LATACCEL_REQUEST_BUFFER_NUM_FRAMES))
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expected_lateral_accel = self.requested_lateral_accel_buffer[-delay_frames]
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# TODO factor out lateral jerk from error to later replace it with delay independent alternative
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future_desired_lateral_accel = desired_curvature * CS.vEgo ** 2
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self.requested_lateral_accel_buffer.append(future_desired_lateral_accel)
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gravity_adjusted_future_lateral_accel = future_desired_lateral_accel - roll_compensation
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desired_lateral_jerk = (future_desired_lateral_accel - expected_lateral_accel) / lat_delay
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actual_lateral_accel = actual_curvature * CS.vEgo ** 2
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lateral_accel_deadzone = curvature_deadzone * CS.vEgo ** 2
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low_speed_factor = np.interp(CS.vEgo, LOW_SPEED_X, LOW_SPEED_Y)**2
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setpoint = desired_lateral_accel + low_speed_factor * desired_curvature
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measurement = actual_lateral_accel + low_speed_factor * actual_curvature
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gravity_adjusted_lateral_accel = desired_lateral_accel - roll_compensation
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low_speed_factor = np.interp(CS.vEgo, LOW_SPEED_X, LOW_SPEED_Y)**2 / (np.clip(CS.vEgo, MIN_SPEED, np.inf) ** 2)
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setpoint = lat_delay * desired_lateral_jerk + expected_lateral_accel
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measurement = actual_lateral_accel
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error = setpoint - measurement
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error_lsf = error + low_speed_factor * error
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# do error correction in lateral acceleration space, convert at end to handle non-linear torque responses correctly
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pid_log.error = float(setpoint - measurement)
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ff = gravity_adjusted_lateral_accel
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pid_log.error = float(error_lsf)
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ff = gravity_adjusted_future_lateral_accel
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# latAccelOffset corrects roll compensation bias from device roll misalignment relative to car roll
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ff -= self.torque_params.latAccelOffset
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ff += get_friction(desired_lateral_accel - actual_lateral_accel, lateral_accel_deadzone, FRICTION_THRESHOLD, self.torque_params)
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# TODO jerk is weighted by lat_delay for legacy reasons, but should be made independent of it
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ff += get_friction(error, lateral_accel_deadzone, FRICTION_THRESHOLD, self.torque_params)
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freeze_integrator = steer_limited_by_safety or CS.steeringPressed or CS.vEgo < 5
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output_lataccel = self.pid.update(pid_log.error,
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@@ -83,7 +95,7 @@ class LatControlTorque(LatControl):
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pid_log.f = float(self.pid.f)
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pid_log.output = float(-output_torque) # TODO: log lat accel?
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pid_log.actualLateralAccel = float(actual_lateral_accel)
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pid_log.desiredLateralAccel = float(desired_lateral_accel)
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pid_log.desiredLateralAccel = float(expected_lateral_accel)
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pid_log.saturated = bool(self._check_saturation(self.steer_max - abs(output_torque) < 1e-3, CS, steer_limited_by_safety, curvature_limited))
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# TODO left is positive in this convention
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@@ -33,13 +33,13 @@ class TestLatControl:
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# Saturate for curvature limited and controller limited
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for _ in range(1000):
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_, _, lac_log = controller.update(True, CS, VM, params, False, 0, True)
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_, _, lac_log = controller.update(True, CS, VM, params, False, 0, True, 0.2)
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assert lac_log.saturated
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for _ in range(1000):
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_, _, lac_log = controller.update(True, CS, VM, params, False, 0, False)
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_, _, lac_log = controller.update(True, CS, VM, params, False, 0, False, 0.2)
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assert not lac_log.saturated
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for _ in range(1000):
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_, _, lac_log = controller.update(True, CS, VM, params, False, 1, False)
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_, _, lac_log = controller.update(True, CS, VM, params, False, 1, False, 0.2)
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assert lac_log.saturated
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@@ -1 +1 @@
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afcab1abb62b9d5678342956cced4712f44e909e
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4c2f4e9d3d6667c990900ad63f7f5a6b23a8bcdf
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