[GMC ACADIA DENALI 2018] Move to torque control, non-linear feed-forward (#28923)

* move GMC ACADIA to torque control, with a Bolt-like feedforward

* update offline values

* update offline values

* reduce friction

* update values

* update values

* cleanup
old-commit-hash: 3612c12b14
beeps
Vivek Aithal 2 years ago committed by GitHub
parent c869f920aa
commit ad986b39cf
  1. 31
      selfdrive/car/gm/interface.py
  2. 3
      selfdrive/car/interfaces.py
  3. 1
      selfdrive/car/torque_data/override.yaml
  4. 1
      selfdrive/car/torque_data/params.yaml

@ -19,6 +19,12 @@ BUTTONS_DICT = {CruiseButtons.RES_ACCEL: ButtonType.accelCruise, CruiseButtons.D
CruiseButtons.MAIN: ButtonType.altButton3, CruiseButtons.CANCEL: ButtonType.cancel}
NON_LINEAR_TORQUE_PARAMS = {
CAR.BOLT_EUV: [2.6531724862969748, 1.0, 0.1919764879840985, 0.009054123646805178],
CAR.ACADIA: [4.78003305, 1.0, 0.3122, 0.05591772]
}
class CarInterface(CarInterfaceBase):
@staticmethod
def get_pid_accel_limits(CP, current_speed, cruise_speed):
@ -31,23 +37,14 @@ class CarInterface(CarInterfaceBase):
sigmoid = desired_angle / (1 + fabs(desired_angle))
return 0.10006696 * sigmoid * (v_ego + 3.12485927)
@staticmethod
def get_steer_feedforward_acadia(desired_angle, v_ego):
desired_angle *= 0.09760208
sigmoid = desired_angle / (1 + fabs(desired_angle))
return 0.04689655 * sigmoid * (v_ego + 10.028217)
def get_steer_feedforward_function(self):
if self.CP.carFingerprint == CAR.VOLT:
return self.get_steer_feedforward_volt
elif self.CP.carFingerprint == CAR.ACADIA:
return self.get_steer_feedforward_acadia
else:
return CarInterfaceBase.get_steer_feedforward_default
@staticmethod
def torque_from_lateral_accel_bolt(lateral_accel_value: float, torque_params: car.CarParams.LateralTorqueTuning,
lateral_accel_error: float, lateral_accel_deadzone: float, friction_compensation: bool) -> float:
def torque_from_lateral_accel_siglin(self, lateral_accel_value: float, torque_params: car.CarParams.LateralTorqueTuning,
lateral_accel_error: float, lateral_accel_deadzone: float, friction_compensation: bool) -> float:
friction = get_friction(lateral_accel_error, lateral_accel_deadzone, FRICTION_THRESHOLD, torque_params, friction_compensation)
def sig(val):
@ -57,14 +54,15 @@ class CarInterface(CarInterfaceBase):
# An important thing to consider is that the slope at 0 should be > 0 (ideally >1)
# This has big effect on the stability about 0 (noise when going straight)
# ToDo: To generalize to other GMs, explore tanh function as the nonlinear
a, b, c, _ = [2.6531724862969748, 1.0, 0.1919764879840985, 0.009054123646805178] # weights computed offline
non_linear_torque_params = NON_LINEAR_TORQUE_PARAMS.get(self.CP.carFingerprint)
assert non_linear_torque_params, "The params are not defined"
a, b, c, _ = non_linear_torque_params
steer_torque = (sig(lateral_accel_value * a) * b) + (lateral_accel_value * c)
return float(steer_torque) + friction
def torque_from_lateral_accel(self) -> TorqueFromLateralAccelCallbackType:
if self.CP.carFingerprint == CAR.BOLT_EUV:
return self.torque_from_lateral_accel_bolt
if self.CP.carFingerprint in NON_LINEAR_TORQUE_PARAMS:
return self.torque_from_lateral_accel_siglin
else:
return self.torque_from_lateral_accel_linear
@ -169,7 +167,8 @@ class CarInterface(CarInterfaceBase):
ret.wheelbase = 2.86
ret.steerRatio = 14.4 # end to end is 13.46
ret.centerToFront = ret.wheelbase * 0.4
ret.lateralTuning.pid.kf = 1. # get_steer_feedforward_acadia()
ret.steerActuatorDelay = 0.2
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)
elif candidate == CAR.BUICK_LACROSSE:
ret.mass = 1712. + STD_CARGO_KG

@ -131,8 +131,7 @@ class CarInterfaceBase(ABC):
def get_steer_feedforward_function(self):
return self.get_steer_feedforward_default
@staticmethod
def torque_from_lateral_accel_linear(lateral_accel_value: float, torque_params: car.CarParams.LateralTorqueTuning,
def torque_from_lateral_accel_linear(self, lateral_accel_value: float, torque_params: car.CarParams.LateralTorqueTuning,
lateral_accel_error: float, lateral_accel_deadzone: float, friction_compensation: bool) -> float:
# The default is a linear relationship between torque and lateral acceleration (accounting for road roll and steering friction)
friction = get_friction(lateral_accel_error, lateral_accel_deadzone, FRICTION_THRESHOLD, torque_params, friction_compensation)

@ -49,6 +49,7 @@ KIA NIRO HYBRID 2ND GEN: [2.42, 2.5, 0.12]
KIA NIRO EV 2ND GEN: [2.05, 2.5, 0.14]
GENESIS GV80 2023: [2.5, 2.5, 0.1]
KIA CARNIVAL 4TH GEN: [1.75, 1.75, 0.15]
GMC ACADIA DENALI 2018: [1.6, 1.6, 0.2]
# Dashcam or fallback configured as ideal car
mock: [10.0, 10, 0.0]

@ -10,7 +10,6 @@ CHRYSLER PACIFICA HYBRID 2017: [1.79422, 1.06831764583744, 0.116237]
CHRYSLER PACIFICA HYBRID 2018: [2.08887, 1.2943025830995154, 0.114818]
CHRYSLER PACIFICA HYBRID 2019: [1.90120, 1.1958788168371808, 0.131520]
GENESIS G70 2018: [3.8520195946707947, 2.354697063349854, 0.06830285485626221]
GMC ACADIA DENALI 2018: [1.3181430320331884, 1.1853735340610179, 0.3450592280031644]
HONDA ACCORD 2018: [1.7135052593468778, 0.3461280068322071, 0.21579936052863807]
HONDA ACCORD HYBRID 2018: [1.6651615004829625, 0.30322180951193245, 0.2083000440586149]
HONDA CIVIC (BOSCH) 2019: [1.691708637466905, 0.40132900729454185, 0.25460295304024094]

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