#!/usr/bin/env python3
import math
from typing import SupportsFloat
from cereal import car , log
import cereal . messaging as messaging
from openpilot . common . conversions import Conversions as CV
from openpilot . common . params import Params
from openpilot . common . realtime import config_realtime_process , Priority , Ratekeeper
from openpilot . common . swaglog import cloudlog
from opendbc . car . car_helpers import interfaces
from opendbc . car . vehicle_model import VehicleModel
from openpilot . selfdrive . controls . lib . drive_helpers import clip_curvature
from openpilot . selfdrive . controls . lib . latcontrol import LatControl , MIN_LATERAL_CONTROL_SPEED
from openpilot . selfdrive . controls . lib . latcontrol_pid import LatControlPID
from openpilot . selfdrive . controls . lib . latcontrol_angle import LatControlAngle , STEER_ANGLE_SATURATION_THRESHOLD
from openpilot . selfdrive . controls . lib . latcontrol_torque import LatControlTorque
from openpilot . selfdrive . controls . lib . longcontrol import LongControl
from openpilot . selfdrive . locationd . helpers import PoseCalibrator , Pose
State = log . SelfdriveState . OpenpilotState
LaneChangeState = log . LaneChangeState
LaneChangeDirection = log . LaneChangeDirection
ACTUATOR_FIELDS = tuple ( car . CarControl . Actuators . schema . fields . keys ( ) )
class Controls :
def __init__ ( self ) - > None :
self . params = Params ( )
cloudlog . info ( " controlsd is waiting for CarParams " )
self . CP = messaging . log_from_bytes ( self . params . get ( " CarParams " , block = True ) , car . CarParams )
cloudlog . info ( " controlsd got CarParams " )
self . CI = interfaces [ self . CP . carFingerprint ] ( self . CP )
self . sm = messaging . SubMaster ( [ ' liveParameters ' , ' liveTorqueParameters ' , ' modelV2 ' , ' selfdriveState ' ,
' liveCalibration ' , ' livePose ' , ' longitudinalPlan ' , ' carState ' , ' carOutput ' ,
' driverMonitoringState ' , ' onroadEvents ' , ' driverAssistance ' ] , poll = ' selfdriveState ' )
self . pm = messaging . PubMaster ( [ ' carControl ' , ' controlsState ' ] )
self . steer_limited_by_controls = False
self . desired_curvature = 0.0
self . pose_calibrator = PoseCalibrator ( )
self . calibrated_pose : Pose | None = None
self . LoC = LongControl ( self . CP )
self . VM = VehicleModel ( self . CP )
self . LaC : LatControl
if self . CP . steerControlType == car . CarParams . SteerControlType . angle :
self . LaC = LatControlAngle ( self . CP , self . CI )
elif self . CP . lateralTuning . which ( ) == ' pid ' :
self . LaC = LatControlPID ( self . CP , self . CI )
elif self . CP . lateralTuning . which ( ) == ' torque ' :
self . LaC = LatControlTorque ( self . CP , self . CI )
def update ( self ) :
self . sm . update ( 15 )
if self . sm . updated [ " liveCalibration " ] :
self . pose_calibrator . feed_live_calib ( self . sm [ ' liveCalibration ' ] )
if self . sm . updated [ " livePose " ] :
device_pose = Pose . from_live_pose ( self . sm [ ' livePose ' ] )
self . calibrated_pose = self . pose_calibrator . build_calibrated_pose ( device_pose )
def state_control ( self ) :
CS = self . sm [ ' carState ' ]
# Update VehicleModel
lp = self . sm [ ' liveParameters ' ]
x = max ( lp . stiffnessFactor , 0.1 )
sr = max ( lp . steerRatio , 0.1 )
self . VM . update_params ( x , sr )
Live torque (#25456)
* wip torqued
* add basic logic
* setup in manager
* check sanity and publish msg
* add first order filter to outputs
* wire up controlsd, and update gains
* rename intercept to offset
* add cloudlog, live values are not updated
* fix bugs, do not reset points for now
* fix crashes
* rename to main
* fix bugs, works offline
* fix float in cereal bug
* add latacc filter
* randomly choose points, approx for iid
* add variable decay
* local param to capnp instead of dict
* verify works in replay
* use torqued output in controlsd
* use in controlsd; use points from past routes
* controlsd bugfix
* filter before updating gains, needs to be replaced
* save all points to ensure smooth transition across routes, revert friction factor to 1.5
* add filters to prevent noisy low-speed data points; improve fit sanity
* add engaged buffer
* revert lat_acc thresh
* use paramsd realtime process config
* make latacc-to-torque generic, and overrideable
* move freq to 4Hz, avoid storing in np.array, don't publish points in the message
* float instead of np
* remove constant while storing pts
* rename slope, offset to lat_accet_factor, offset
* resolve issues
* use camelcase in all capnp params
* use camelcase everywhere
* reduce latacc threshold or sanity, add car_sane todo, save points properly
* add and check tag
* write param to disk at end of route
* remove args
* rebase op, cereal
* save on exit
* restore default handler
* cpu usage check
* add to process replay
* handle reset better, reduce unnecessary computation
* always publish raw values - useful for debug
* regen routes
* update refs
* checks on cache restore
* check tuning vals too
* clean that up
* reduce cpu usage
* reduce cpu usage by 75%
* cleanup
* optimize further
* handle reset condition better, don't put points in init, use only in corolla
* bump cereal after rebasing
* update refs
* Update common/params.cc
Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
* remove unnecessary checks
* Update RELEASES.md
Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
old-commit-hash: 4fa62f146426f76c9c1c2867d9729b33ec612b59
3 years ago
# Update Torque Params
if self . CP . lateralTuning . which ( ) == ' torque ' :
torque_params = self . sm [ ' liveTorqueParameters ' ]
if self . sm . all_checks ( [ ' liveTorqueParameters ' ] ) and torque_params . useParams :
self . LaC . update_live_torque_params ( torque_params . latAccelFactorFiltered , torque_params . latAccelOffsetFiltered ,
torque_params . frictionCoefficientFiltered )
Live torque (#25456)
* wip torqued
* add basic logic
* setup in manager
* check sanity and publish msg
* add first order filter to outputs
* wire up controlsd, and update gains
* rename intercept to offset
* add cloudlog, live values are not updated
* fix bugs, do not reset points for now
* fix crashes
* rename to main
* fix bugs, works offline
* fix float in cereal bug
* add latacc filter
* randomly choose points, approx for iid
* add variable decay
* local param to capnp instead of dict
* verify works in replay
* use torqued output in controlsd
* use in controlsd; use points from past routes
* controlsd bugfix
* filter before updating gains, needs to be replaced
* save all points to ensure smooth transition across routes, revert friction factor to 1.5
* add filters to prevent noisy low-speed data points; improve fit sanity
* add engaged buffer
* revert lat_acc thresh
* use paramsd realtime process config
* make latacc-to-torque generic, and overrideable
* move freq to 4Hz, avoid storing in np.array, don't publish points in the message
* float instead of np
* remove constant while storing pts
* rename slope, offset to lat_accet_factor, offset
* resolve issues
* use camelcase in all capnp params
* use camelcase everywhere
* reduce latacc threshold or sanity, add car_sane todo, save points properly
* add and check tag
* write param to disk at end of route
* remove args
* rebase op, cereal
* save on exit
* restore default handler
* cpu usage check
* add to process replay
* handle reset better, reduce unnecessary computation
* always publish raw values - useful for debug
* regen routes
* update refs
* checks on cache restore
* check tuning vals too
* clean that up
* reduce cpu usage
* reduce cpu usage by 75%
* cleanup
* optimize further
* handle reset condition better, don't put points in init, use only in corolla
* bump cereal after rebasing
* update refs
* Update common/params.cc
Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
* remove unnecessary checks
* Update RELEASES.md
Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
old-commit-hash: 4fa62f146426f76c9c1c2867d9729b33ec612b59
3 years ago
long_plan = self . sm [ ' longitudinalPlan ' ]
model_v2 = self . sm [ ' modelV2 ' ]
CC = car . CarControl . new_message ( )
CC . enabled = self . sm [ ' selfdriveState ' ] . enabled
# Check which actuators can be enabled
standstill = abs ( CS . vEgo ) < = max ( self . CP . minSteerSpeed , MIN_LATERAL_CONTROL_SPEED ) or CS . standstill
CC . latActive = self . sm [ ' selfdriveState ' ] . active and not CS . steerFaultTemporary and not CS . steerFaultPermanent and not standstill
CC . longActive = CC . enabled and not any ( e . overrideLongitudinal for e in self . sm [ ' onroadEvents ' ] ) and self . CP . openpilotLongitudinalControl
actuators = CC . actuators
actuators . longControlState = self . LoC . long_control_state
# Enable blinkers while lane changing
if model_v2 . meta . laneChangeState != LaneChangeState . off :
CC . leftBlinker = model_v2 . meta . laneChangeDirection == LaneChangeDirection . left
CC . rightBlinker = model_v2 . meta . laneChangeDirection == LaneChangeDirection . right
if not CC . latActive :
self . LaC . reset ( )
if not CC . longActive :
self . LoC . reset ( )
# accel PID loop
pid_accel_limits = self . CI . get_pid_accel_limits ( self . CP , CS . vEgo , CS . vCruise * CV . KPH_TO_MS )
actuators . accel = float ( self . LoC . update ( CC . longActive , CS , long_plan . aTarget , long_plan . shouldStop , pid_accel_limits ) )
# Steering PID loop and lateral MPC
self . desired_curvature , curvature_limited = clip_curvature ( CS . vEgo , self . desired_curvature , model_v2 . action . desiredCurvature , lp . roll )
actuators . curvature = self . desired_curvature
steer , steeringAngleDeg , lac_log = self . LaC . update ( CC . latActive , CS , self . VM , lp ,
self . steer_limited_by_controls , self . desired_curvature ,
self . calibrated_pose , curvature_limited ) # TODO what if not available
actuators . torque = float ( steer )
actuators . steeringAngleDeg = float ( steeringAngleDeg )
# Ensure no NaNs/Infs
for p in ACTUATOR_FIELDS :
attr = getattr ( actuators , p )
if not isinstance ( attr , SupportsFloat ) :
continue
if not math . isfinite ( attr ) :
cloudlog . error ( f " actuators. { p } not finite { actuators . to_dict ( ) } " )
setattr ( actuators , p , 0.0 )
return CC , lac_log
def publish ( self , CC , lac_log ) :
CS = self . sm [ ' carState ' ]
# Orientation and angle rates can be useful for carcontroller
# Only calibrated (car) frame is relevant for the carcontroller
if self . calibrated_pose is not None :
CC . orientationNED = self . calibrated_pose . orientation . xyz . tolist ( )
CC . angularVelocity = self . calibrated_pose . angular_velocity . xyz . tolist ( )
CC . cruiseControl . override = CC . enabled and not CC . longActive and self . CP . openpilotLongitudinalControl
CC . cruiseControl . cancel = CS . cruiseState . enabled and ( not CC . enabled or not self . CP . pcmCruise )
speeds = self . sm [ ' longitudinalPlan ' ] . speeds
if len ( speeds ) :
CC . cruiseControl . resume = CC . enabled and CS . cruiseState . standstill and speeds [ - 1 ] > 0.1
hudControl = CC . hudControl
hudControl . setSpeed = float ( CS . vCruiseCluster * CV . KPH_TO_MS )
hudControl . speedVisible = CC . enabled
hudControl . lanesVisible = CC . enabled
hudControl . leadVisible = self . sm [ ' longitudinalPlan ' ] . hasLead
hudControl . leadDistanceBars = self . sm [ ' selfdriveState ' ] . personality . raw + 1
hudControl . visualAlert = self . sm [ ' selfdriveState ' ] . alertHudVisual
hudControl . rightLaneVisible = True
hudControl . leftLaneVisible = True
if self . sm . valid [ ' driverAssistance ' ] :
hudControl . leftLaneDepart = self . sm [ ' driverAssistance ' ] . leftLaneDeparture
hudControl . rightLaneDepart = self . sm [ ' driverAssistance ' ] . rightLaneDeparture
if self . sm [ ' selfdriveState ' ] . active :
CO = self . sm [ ' carOutput ' ]
if self . CP . steerControlType == car . CarParams . SteerControlType . angle :
self . steer_limited_by_controls = abs ( CC . actuators . steeringAngleDeg - CO . actuatorsOutput . steeringAngleDeg ) > \
STEER_ANGLE_SATURATION_THRESHOLD
else :
self . steer_limited_by_controls = abs ( CC . actuators . torque - CO . actuatorsOutput . torque ) > 1e-2
# TODO: both controlsState and carControl valids should be set by
# sm.all_checks(), but this creates a circular dependency
# controlsState
dat = messaging . new_message ( ' controlsState ' )
dat . valid = CS . canValid
cs = dat . controlsState
lp = self . sm [ ' liveParameters ' ]
steer_angle_without_offset = math . radians ( CS . steeringAngleDeg - lp . angleOffsetDeg )
cs . curvature = - self . VM . calc_curvature ( steer_angle_without_offset , CS . vEgo , lp . roll )
cs . longitudinalPlanMonoTime = self . sm . logMonoTime [ ' longitudinalPlan ' ]
cs . lateralPlanMonoTime = self . sm . logMonoTime [ ' modelV2 ' ]
cs . desiredCurvature = self . desired_curvature
cs . longControlState = self . LoC . long_control_state
cs . upAccelCmd = float ( self . LoC . pid . p )
cs . uiAccelCmd = float ( self . LoC . pid . i )
cs . ufAccelCmd = float ( self . LoC . pid . f )
cs . forceDecel = bool ( ( self . sm [ ' driverMonitoringState ' ] . awarenessStatus < 0. ) or
( self . sm [ ' selfdriveState ' ] . state == State . softDisabling ) )
lat_tuning = self . CP . lateralTuning . which ( )
if self . CP . steerControlType == car . CarParams . SteerControlType . angle :
cs . lateralControlState . angleState = lac_log
elif lat_tuning == ' pid ' :
cs . lateralControlState . pidState = lac_log
elif lat_tuning == ' torque ' :
cs . lateralControlState . torqueState = lac_log
self . pm . send ( ' controlsState ' , dat )
# carControl
cc_send = messaging . new_message ( ' carControl ' )
cc_send . valid = CS . canValid
cc_send . carControl = CC
self . pm . send ( ' carControl ' , cc_send )
def run ( self ) :
rk = Ratekeeper ( 100 , print_delay_threshold = None )
while True :
self . update ( )
CC , lac_log = self . state_control ( )
self . publish ( CC , lac_log )
rk . monitor_time ( )
def main ( ) :
config_realtime_process ( 4 , Priority . CTRL_HIGH )
controls = Controls ( )
controls . run ( )
if __name__ == " __main__ " :
main ( )