openpilot_comma/selfdrive/controls/lib/latcontrol_indi.py

import math
import numpy as np

from cereal import log
from common.realtime import DT_CTRL
from common.numpy_fast import clip
from selfdrive.car.toyota.values import SteerLimitParams
from selfdrive.car import apply_toyota_steer_torque_limits
from selfdrive.controls.lib.drive_helpers import get_steer_max


class LatControlINDI():
  def __init__(self, CP):
    self.angle_steers_des = 0.

    A = np.matrix([[1.0, DT_CTRL, 0.0],
                   [0.0, 1.0, DT_CTRL],
                   [0.0, 0.0, 1.0]])
    C = np.matrix([[1.0, 0.0, 0.0],
                   [0.0, 1.0, 0.0]])

    # Q = np.matrix([[1e-2, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 10.0]])
    # R = np.matrix([[1e-2, 0.0], [0.0, 1e3]])

    # (x, l, K) = control.dare(np.transpose(A), np.transpose(C), Q, R)
    # K = np.transpose(K)
    K = np.matrix([[7.30262179e-01, 2.07003658e-04],
                   [7.29394177e+00, 1.39159419e-02],
                   [1.71022442e+01, 3.38495381e-02]])

    self.K = K
    self.A_K = A - np.dot(K, C)
    self.x = np.matrix([[0.], [0.], [0.]])

    self.enfore_rate_limit = CP.carName == "toyota"

    self.RC = CP.lateralTuning.indi.timeConstant
    self.G = CP.lateralTuning.indi.actuatorEffectiveness
    self.outer_loop_gain = CP.lateralTuning.indi.outerLoopGain
    self.inner_loop_gain = CP.lateralTuning.indi.innerLoopGain
    self.alpha = 1. - DT_CTRL / (self.RC + DT_CTRL)

    self.reset()

  def reset(self):
    self.delayed_output = 0.
    self.output_steer = 0.
    self.counter = 0

  def update(self, active, v_ego, angle_steers, angle_steers_rate, eps_torque, steer_override, CP, path_plan):
    # Update Kalman filter
    y = np.matrix([[math.radians(angle_steers)], [math.radians(angle_steers_rate)]])
    self.x = np.dot(self.A_K, self.x) + np.dot(self.K, y)

    indi_log = log.ControlsState.LateralINDIState.new_message()
    indi_log.steerAngle = math.degrees(self.x[0])
    indi_log.steerRate = math.degrees(self.x[1])
    indi_log.steerAccel = math.degrees(self.x[2])

    if v_ego < 0.3 or not active:
      indi_log.active = False
      self.output_steer = 0.0
      self.delayed_output = 0.0
    else:
      self.angle_steers_des = path_plan.angleSteers
      self.rate_steers_des = path_plan.rateSteers

      steers_des = math.radians(self.angle_steers_des)
      rate_des = math.radians(self.rate_steers_des)

      # Expected actuator value
      self.delayed_output = self.delayed_output * self.alpha + self.output_steer * (1. - self.alpha)

      # Compute acceleration error
      rate_sp = self.outer_loop_gain * (steers_des - self.x[0]) + rate_des
      accel_sp = self.inner_loop_gain * (rate_sp - self.x[1])
      accel_error = accel_sp - self.x[2]

      # Compute change in actuator
      g_inv = 1. / self.G
      delta_u = g_inv * accel_error

      # Enforce rate limit
      if self.enfore_rate_limit:
        steer_max = float(SteerLimitParams.STEER_MAX)
        new_output_steer_cmd = steer_max * (self.delayed_output + delta_u)
        prev_output_steer_cmd = steer_max * self.output_steer
        new_output_steer_cmd = apply_toyota_steer_torque_limits(new_output_steer_cmd, prev_output_steer_cmd, prev_output_steer_cmd, SteerLimitParams)
        self.output_steer = new_output_steer_cmd / steer_max
      else:
        self.output_steer = self.delayed_output + delta_u

      steers_max = get_steer_max(CP, v_ego)
      self.output_steer = clip(self.output_steer, -steers_max, steers_max)

      indi_log.active = True
      indi_log.rateSetPoint = float(rate_sp)
      indi_log.accelSetPoint = float(accel_sp)
      indi_log.accelError = float(accel_error)
      indi_log.delayedOutput = float(self.delayed_output)
      indi_log.delta = float(delta_u)
      indi_log.output = float(self.output_steer)

    self.sat_flag = False
    return float(self.output_steer), float(self.angle_steers_des), indi_log