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Vehicles - Toyota - Longitudinal Tune - FrogPilot
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@@ -6,7 +6,7 @@ from openpilot.selfdrive.car.interfaces import CarControllerBase
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from openpilot.selfdrive.car.toyota import toyotacan
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from openpilot.selfdrive.car.toyota.values import CAR, STATIC_DSU_MSGS, NO_STOP_TIMER_CAR, TSS2_CAR, \
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MIN_ACC_SPEED, PEDAL_TRANSITION, CarControllerParams, ToyotaFlags, \
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UNSUPPORTED_DSU_CAR, STOP_AND_GO_CAR
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UNSUPPORTED_DSU_CAR, STOP_AND_GO_CAR, TSS2_CAR
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from opendbc.can.packer import CANPacker
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LongCtrlState = car.CarControl.Actuators.LongControlState
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@@ -38,6 +38,15 @@ PARK = car.CarState.GearShifter.park
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COMPENSATORY_CALCULATION_THRESHOLD_V = [-0.3, -0.25, 0.] # m/s^2
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COMPENSATORY_CALCULATION_THRESHOLD_BP = [0., 11., 23.] # m/s
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def compute_gb_toyota(accel, speed):
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creep_brake = 0.0
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creep_speed = 2.3
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creep_brake_value = 0.15
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if speed < creep_speed:
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creep_brake = (creep_speed - speed) / creep_speed * creep_brake_value
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gb = accel - creep_brake
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return gb
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class CarController(CarControllerBase):
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def __init__(self, dbc_name, CP, VM):
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self.CP = CP
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@@ -60,9 +69,12 @@ class CarController(CarControllerBase):
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params = Params()
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self.cydia_tune = params.get_bool("CydiaTune")
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self.frogs_go_moo_tune = params.get_bool("FrogsGoMooTune")
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self.doors_locked = False
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self.pcm_accel_comp = 0
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def update(self, CC, CS, now_nanos, frogpilot_toggles):
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actuators = CC.actuators
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hud_control = CC.hudControl
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@@ -150,17 +162,28 @@ class CarController(CarControllerBase):
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self.prohibit_neg_calculation = False
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# limit minimum to only positive until first positive is reached after engagement, don't calculate when long isn't active
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if CC.longActive and not self.prohibit_neg_calculation and self.cydia_tune:
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if CC.longActive and not self.prohibit_neg_calculation and (self.cydia_tune or self.frogs_go_moo_tune and self.CP.carFingerprint not in TSS2_CAR):
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accel_offset = CS.pcm_neutral_force / self.CP.mass
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else:
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accel_offset = 0.
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if CC.longActive and self.frogs_go_moo_tune:
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wind_brake = interp(CS.out.vEgo, [0.0, 2.3, 35.0], [0.001, 0.002, 0.15])
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gas_accel = compute_gb_toyota(actuators.accel, CS.out.vEgo) + wind_brake
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self.pcm_accel_comp = clip(gas_accel - CS.pcm_accel_net, self.pcm_accel_comp - 0.03, self.pcm_accel_comp + 0.03)
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# only calculate pcm_accel_cmd when long is active to prevent disengagement from accelerator depression
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if CC.longActive:
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if frogpilot_toggles.sport_plus:
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pcm_accel_cmd = clip(actuators.accel + accel_offset, self.params.ACCEL_MIN, self.params.ACCEL_MAX_PLUS)
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if self.frogs_go_moo_tune:
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pcm_accel_cmd = clip(gas_accel + self.pcm_accel_comp, self.params.ACCEL_MIN, self.params.ACCEL_MAX_PLUS)
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else:
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pcm_accel_cmd = clip(actuators.accel + accel_offset, self.params.ACCEL_MIN, self.params.ACCEL_MAX_PLUS)
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else:
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pcm_accel_cmd = clip(actuators.accel + accel_offset, self.params.ACCEL_MIN, self.params.ACCEL_MAX)
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if self.frogs_go_moo_tune:
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pcm_accel_cmd = clip(gas_accel + self.pcm_accel_comp, self.params.ACCEL_MIN, self.params.ACCEL_MAX)
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else:
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pcm_accel_cmd = clip(actuators.accel + accel_offset, self.params.ACCEL_MIN, self.params.ACCEL_MAX)
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else:
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pcm_accel_cmd = 0.
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@@ -71,6 +71,8 @@ class CarState(CarStateBase):
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self.zss_compute = False
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self.zss_cruise_active_last = False
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self.pcm_accel_net = 0
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self.pcm_neutral_force = 0
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self.zss_angle_offset = 0
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self.zss_threshold_count = 0
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@@ -222,6 +224,7 @@ class CarState(CarStateBase):
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message_keys = ["LDA_ON_MESSAGE", "SET_ME_X02"]
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self.lkas_enabled = any(self.lkas_hud.get(key) == 1 for key in message_keys)
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self.pcm_accel_net = cp.vl["PCM_CRUISE"]["ACCEL_NET"]
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self.pcm_neutral_force = cp.vl["PCM_CRUISE"]["NEUTRAL_FORCE"]
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# ZSS Support - Credit goes to the DragonPilot team!
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@@ -136,14 +136,18 @@ class CarInterface(CarInterfaceBase):
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ret.minEnableSpeed = -1. if (candidate in STOP_AND_GO_CAR or ret.enableGasInterceptor) else MIN_ACC_SPEED
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tune = ret.longitudinalTuning
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if params.get_bool("CydiaTune"):
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if params.get_bool("CydiaTune") or params.get_bool("FrogsGoMooTune"):
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ret.stopAccel = -2.5 # on stock Toyota this is -2.5
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ret.stoppingDecelRate = 0.3 # reach stopping target smoothly
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if candidate in TSS2_CAR or ret.enableGasInterceptor:
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tune.kpV = [0.0]
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tune.kiV = [0.5]
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ret.vEgoStopping = 0.25
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ret.vEgoStarting = 0.25
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if params.get_bool("FrogsGoMooTune"):
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ret.vEgoStopping = 0.15
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ret.vEgoStarting = 0.15
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else:
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ret.vEgoStopping = 0.25
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ret.vEgoStarting = 0.25
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else:
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tune.kpV = [0.0]
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tune.kiV = [1.2] # appears to produce minimal oscillation on TSS-P
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