dragonpilot/selfdrive/car/subaru/interface.py

#!/usr/bin/env python3
from cereal import car
from panda import Panda
from selfdrive.car import STD_CARGO_KG, get_safety_config
from selfdrive.car.interfaces import CarInterfaceBase
from selfdrive.car.subaru.values import CAR, GLOBAL_GEN2, PREGLOBAL_CARS


class CarInterface(CarInterfaceBase):

  @staticmethod
  def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
    ret.carName = "subaru"
    ret.radarUnavailable = True
    ret.dashcamOnly = candidate in PREGLOBAL_CARS
    ret.autoResumeSng = False

    if candidate in PREGLOBAL_CARS:
      ret.enableBsm = 0x25c in fingerprint[0]
      ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.subaruLegacy)]
    else:
      ret.enableBsm = 0x228 in fingerprint[0]
      ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.subaru)]
      if candidate in GLOBAL_GEN2:
        ret.safetyConfigs[0].safetyParam |= Panda.FLAG_SUBARU_GEN2

    ret.steerLimitTimer = 0.4
    ret.steerActuatorDelay = 0.1
    CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)

    if candidate == CAR.ASCENT:
      ret.mass = 2031. + STD_CARGO_KG
      ret.wheelbase = 2.89
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 13.5
      ret.steerActuatorDelay = 0.3   # end-to-end angle controller
      ret.lateralTuning.init('pid')
      ret.lateralTuning.pid.kf = 0.00003
      ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0., 20.], [0., 20.]]
      ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.0025, 0.1], [0.00025, 0.01]]

    elif candidate == CAR.IMPREZA:
      ret.mass = 1568. + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 15
      ret.steerActuatorDelay = 0.4   # end-to-end angle controller
      ret.lateralTuning.init('pid')
      ret.lateralTuning.pid.kf = 0.00005
      ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0., 20.], [0., 20.]]
      ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.2, 0.3], [0.02, 0.03]]

    elif candidate == CAR.IMPREZA_2020:
      ret.mass = 1480. + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 17           # learned, 14 stock
      ret.lateralTuning.init('pid')
      ret.lateralTuning.pid.kf = 0.00005
      ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0., 14., 23.], [0., 14., 23.]]
      ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.045, 0.042, 0.20], [0.04, 0.035, 0.045]]

    elif candidate == CAR.FORESTER:
      ret.mass = 1568. + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 17           # learned, 14 stock
      ret.lateralTuning.init('pid')
      ret.lateralTuning.pid.kf = 0.000038
      ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0., 14., 23.], [0., 14., 23.]]
      ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.01, 0.065, 0.2], [0.001, 0.015, 0.025]]

    elif candidate in (CAR.OUTBACK, CAR.LEGACY):
      ret.mass = 1568. + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 17
      ret.steerActuatorDelay = 0.1
      CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)

    elif candidate in (CAR.FORESTER_PREGLOBAL, CAR.OUTBACK_PREGLOBAL_2018):
      ret.safetyConfigs[0].safetyParam = 1  # Outback 2018-2019 and Forester have reversed driver torque signal
      ret.mass = 1568 + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 20           # learned, 14 stock

    elif candidate == CAR.LEGACY_PREGLOBAL:
      ret.mass = 1568 + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 12.5   # 14.5 stock
      ret.steerActuatorDelay = 0.15

    elif candidate == CAR.OUTBACK_PREGLOBAL:
      ret.mass = 1568 + STD_CARGO_KG
      ret.wheelbase = 2.67
      ret.centerToFront = ret.wheelbase * 0.5
      ret.steerRatio = 20           # learned, 14 stock

    else:
      raise ValueError(f"unknown car: {candidate}")

    return ret

  # returns a car.CarState
  def _update(self, c):

    ret = self.CS.update(self.cp, self.cp_cam, self.cp_body)

    ret.events = self.create_common_events(ret).to_msg()

    return ret

  def apply(self, c):
    return self.CC.update(c, self.CS)