openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

92 lines
4.7 KiB

import math
from cereal import log
from openpilot.common.numpy_fast import interp
from openpilot.selfdrive.controls.lib.latcontrol import LatControl
from openpilot.selfdrive.controls.lib.pid import PIDController
from openpilot.selfdrive.controls.lib.vehicle_model import ACCELERATION_DUE_TO_GRAVITY
# At higher speeds (25+mph) we can assume:
# Lateral acceleration achieved by a specific car correlates to
# torque applied to the steering rack. It does not correlate to
# wheel slip, or to speed.
# This controller applies torque to achieve desired lateral
# accelerations. To compensate for the low speed effects we
# use a LOW_SPEED_FACTOR in the error. Additionally, there is
# friction in the steering wheel that needs to be overcome to
# move it at all, this is compensated for too.
LOW_SPEED_X = [0, 10, 20, 30]
LOW_SPEED_Y = [15, 13, 10, 5]
class LatControlTorque(LatControl):
def __init__(self, CP, CI):
super().__init__(CP, CI)
self.torque_params = CP.lateralTuning.torque
self.pid = PIDController(self.torque_params.kp, self.torque_params.ki,
k_f=self.torque_params.kf, pos_limit=self.steer_max, neg_limit=-self.steer_max)
self.torque_from_lateral_accel = CI.torque_from_lateral_accel()
self.use_steering_angle = self.torque_params.useSteeringAngle
self.steering_angle_deadzone_deg = self.torque_params.steeringAngleDeadzoneDeg
def update_live_torque_params(self, latAccelFactor, latAccelOffset, friction):
self.torque_params.latAccelFactor = latAccelFactor
self.torque_params.latAccelOffset = latAccelOffset
self.torque_params.friction = friction
def update(self, active, CS, VM, params, steer_limited, desired_curvature, llk):
pid_log = log.ControlsState.LateralTorqueState.new_message()
if not active:
output_torque = 0.0
pid_log.active = False
else:
if self.use_steering_angle:
actual_curvature = -VM.calc_curvature(math.radians(CS.steeringAngleDeg - params.angleOffsetDeg), CS.vEgo, params.roll)
curvature_deadzone = abs(VM.calc_curvature(math.radians(self.steering_angle_deadzone_deg), CS.vEgo, 0.0))
else:
actual_curvature_vm = -VM.calc_curvature(math.radians(CS.steeringAngleDeg - params.angleOffsetDeg), CS.vEgo, params.roll)
actual_curvature_llk = llk.angularVelocityCalibrated.value[2] / CS.vEgo
actual_curvature = interp(CS.vEgo, [2.0, 5.0], [actual_curvature_vm, actual_curvature_llk])
curvature_deadzone = 0.0
desired_lateral_accel = desired_curvature * CS.vEgo ** 2
# desired rate is the desired rate of change in the setpoint, not the absolute desired curvature
Live torque (#25456) * wip torqued * add basic logic * setup in manager * check sanity and publish msg * add first order filter to outputs * wire up controlsd, and update gains * rename intercept to offset * add cloudlog, live values are not updated * fix bugs, do not reset points for now * fix crashes * rename to main * fix bugs, works offline * fix float in cereal bug * add latacc filter * randomly choose points, approx for iid * add variable decay * local param to capnp instead of dict * verify works in replay * use torqued output in controlsd * use in controlsd; use points from past routes * controlsd bugfix * filter before updating gains, needs to be replaced * save all points to ensure smooth transition across routes, revert friction factor to 1.5 * add filters to prevent noisy low-speed data points; improve fit sanity * add engaged buffer * revert lat_acc thresh * use paramsd realtime process config * make latacc-to-torque generic, and overrideable * move freq to 4Hz, avoid storing in np.array, don't publish points in the message * float instead of np * remove constant while storing pts * rename slope, offset to lat_accet_factor, offset * resolve issues * use camelcase in all capnp params * use camelcase everywhere * reduce latacc threshold or sanity, add car_sane todo, save points properly * add and check tag * write param to disk at end of route * remove args * rebase op, cereal * save on exit * restore default handler * cpu usage check * add to process replay * handle reset better, reduce unnecessary computation * always publish raw values - useful for debug * regen routes * update refs * checks on cache restore * check tuning vals too * clean that up * reduce cpu usage * reduce cpu usage by 75% * cleanup * optimize further * handle reset condition better, don't put points in init, use only in corolla * bump cereal after rebasing * update refs * Update common/params.cc Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com> * remove unnecessary checks * Update RELEASES.md Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com> old-commit-hash: 4fa62f146426f76c9c1c2867d9729b33ec612b59
3 years ago
# desired_lateral_jerk = desired_curvature_rate * CS.vEgo ** 2
actual_lateral_accel = actual_curvature * CS.vEgo ** 2
lateral_accel_deadzone = curvature_deadzone * CS.vEgo ** 2
low_speed_factor = interp(CS.vEgo, LOW_SPEED_X, LOW_SPEED_Y)**2
setpoint = desired_lateral_accel + low_speed_factor * desired_curvature
measurement = actual_lateral_accel + low_speed_factor * actual_curvature
gravity_adjusted_lateral_accel = desired_lateral_accel - params.roll * ACCELERATION_DUE_TO_GRAVITY
torque_from_setpoint = self.torque_from_lateral_accel(setpoint, self.torque_params, setpoint,
lateral_accel_deadzone, friction_compensation=False)
torque_from_measurement = self.torque_from_lateral_accel(measurement, self.torque_params, measurement,
lateral_accel_deadzone, friction_compensation=False)
pid_log.error = torque_from_setpoint - torque_from_measurement
ff = self.torque_from_lateral_accel(gravity_adjusted_lateral_accel, self.torque_params,
desired_lateral_accel - actual_lateral_accel,
lateral_accel_deadzone, friction_compensation=True)
freeze_integrator = steer_limited or CS.steeringPressed or CS.vEgo < 5
output_torque = self.pid.update(pid_log.error,
feedforward=ff,
speed=CS.vEgo,
freeze_integrator=freeze_integrator)
pid_log.active = True
pid_log.p = self.pid.p
pid_log.i = self.pid.i
pid_log.d = self.pid.d
pid_log.f = self.pid.f
pid_log.output = -output_torque
pid_log.actualLateralAccel = actual_lateral_accel
pid_log.desiredLateralAccel = desired_lateral_accel
pid_log.saturated = self._check_saturation(self.steer_max - abs(output_torque) < 1e-3, CS, steer_limited)
# TODO left is positive in this convention
return -output_torque, 0.0, pid_log