from cereal import car
from openpilot.common.numpy_fast import clip, interp
from openpilot.common.realtime import DT_CTRL
from openpilot.selfdrive.controls.lib.drive_helpers import CONTROL_N, apply_deadzone
from openpilot.selfdrive.controls.lib.pid import PIDController
from openpilot.selfdrive.modeld.constants import ModelConstants
LongCtrlState = car.CarControl.Actuators.LongControlState
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def long_control_state_trans(CP, active, long_control_state, v_ego, v_target,
v_target_1sec, brake_pressed, cruise_standstill):
accelerating = v_target_1sec > v_target
planned_stop = (v_target < CP.vEgoStopping and
v_target_1sec < CP.vEgoStopping and
not accelerating)
stay_stopped = (v_ego < CP.vEgoStopping and
(brake_pressed or cruise_standstill))
stopping_condition = planned_stop or stay_stopped
starting_condition = (v_target_1sec > CP.vEgoStarting and
accelerating and
not cruise_standstill and
not brake_pressed)
started_condition = v_ego > CP.vEgoStarting
if not active:
long_control_state = LongCtrlState.off
else:
if long_control_state in (LongCtrlState.off, LongCtrlState.pid):
long_control_state = LongCtrlState.pid
if stopping_condition:
long_control_state = LongCtrlState.stopping
elif long_control_state == LongCtrlState.stopping:
if starting_condition and CP.startingState:
long_control_state = LongCtrlState.starting
elif starting_condition:
long_control_state = LongCtrlState.pid
elif long_control_state == LongCtrlState.starting:
if stopping_condition:
long_control_state = LongCtrlState.stopping
elif started_condition:
long_control_state = LongCtrlState.pid
return long_control_state
[docs]
class LongControl:
def __init__(self, CP):
self.CP = CP
self.long_control_state = LongCtrlState.off # initialized to off
self.pid = PIDController((CP.longitudinalTuning.kpBP, CP.longitudinalTuning.kpV),
(CP.longitudinalTuning.kiBP, CP.longitudinalTuning.kiV),
k_f=CP.longitudinalTuning.kf, rate=1 / DT_CTRL)
self.v_pid = 0.0
self.last_output_accel = 0.0
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def reset(self, v_pid):
"""Reset PID controller and change setpoint"""
self.pid.reset()
self.v_pid = v_pid
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def update(self, active, CS, long_plan, accel_limits, t_since_plan):
"""Update longitudinal control. This updates the state machine and runs a PID loop"""
# Interp control trajectory
speeds = long_plan.speeds
if len(speeds) == CONTROL_N:
v_target_now = interp(t_since_plan, ModelConstants.T_IDXS[:CONTROL_N], speeds)
a_target_now = interp(t_since_plan, ModelConstants.T_IDXS[:CONTROL_N], long_plan.accels)
v_target_lower = interp(self.CP.longitudinalActuatorDelayLowerBound + t_since_plan, ModelConstants.T_IDXS[:CONTROL_N], speeds)
a_target_lower = 2 * (v_target_lower - v_target_now) / self.CP.longitudinalActuatorDelayLowerBound - a_target_now
v_target_upper = interp(self.CP.longitudinalActuatorDelayUpperBound + t_since_plan, ModelConstants.T_IDXS[:CONTROL_N], speeds)
a_target_upper = 2 * (v_target_upper - v_target_now) / self.CP.longitudinalActuatorDelayUpperBound - a_target_now
v_target = min(v_target_lower, v_target_upper)
a_target = min(a_target_lower, a_target_upper)
v_target_1sec = interp(self.CP.longitudinalActuatorDelayUpperBound + t_since_plan + 1.0, ModelConstants.T_IDXS[:CONTROL_N], speeds)
else:
v_target = 0.0
v_target_now = 0.0
v_target_1sec = 0.0
a_target = 0.0
self.pid.neg_limit = accel_limits[0]
self.pid.pos_limit = accel_limits[1]
output_accel = self.last_output_accel
self.long_control_state = long_control_state_trans(self.CP, active, self.long_control_state, CS.vEgo,
v_target, v_target_1sec, CS.brakePressed,
CS.cruiseState.standstill)
if self.long_control_state == LongCtrlState.off:
self.reset(CS.vEgo)
output_accel = 0.
elif self.long_control_state == LongCtrlState.stopping:
if output_accel > self.CP.stopAccel:
output_accel = min(output_accel, 0.0)
output_accel -= self.CP.stoppingDecelRate * DT_CTRL
self.reset(CS.vEgo)
elif self.long_control_state == LongCtrlState.starting:
output_accel = self.CP.startAccel
self.reset(CS.vEgo)
elif self.long_control_state == LongCtrlState.pid:
self.v_pid = v_target_now
# Toyota starts braking more when it thinks you want to stop
# Freeze the integrator so we don't accelerate to compensate, and don't allow positive acceleration
# TODO too complex, needs to be simplified and tested on toyotas
prevent_overshoot = not self.CP.stoppingControl and CS.vEgo < 1.5 and v_target_1sec < 0.7 and v_target_1sec < self.v_pid
deadzone = interp(CS.vEgo, self.CP.longitudinalTuning.deadzoneBP, self.CP.longitudinalTuning.deadzoneV)
freeze_integrator = prevent_overshoot
error = self.v_pid - CS.vEgo
error_deadzone = apply_deadzone(error, deadzone)
output_accel = self.pid.update(error_deadzone, speed=CS.vEgo,
feedforward=a_target,
freeze_integrator=freeze_integrator)
self.last_output_accel = clip(output_accel, accel_limits[0], accel_limits[1])
return self.last_output_accel