Ejemplo n.º 1
0
#!/usr/bin/env python

import sys,tty,termios
import datetime
import time
import dateutil.parser
import filenames
from select import select

from car import Car
import Adafruit_CharLCD as LCD

folder = 'recordings'
prefix = 'recording'
suffix = '.csv'
recording_file_path = filenames.next_filename(folder=folder,prefix=prefix,suffix=suffix)

def write_command_to_car(s):
  command = open('/dev/car','w')
  command.write(s)

def getch():
  import sys, tty, termios
  fd = sys.stdin.fileno()
  old_settings = termios.tcgetattr(fd)
  try:
    tty.setraw(sys.stdin.fileno())
    ch = sys.stdin.read(1)
  finally:
    termios.tcsetattr(fd, termios.TCSADRAIN, old_settings)
  return ch
Ejemplo n.º 2
0
def calibrate_braking(test_esc=1350,max_speed=1.,total_track_length=3.,stop_track_length=2.,note='na'):
  run_track_length = total_track_length - stop_track_length


  car = Car()
  time.sleep(0.5)
  car.zero_odometer()
  car.set_rc_mode();

  goal_heading = car.heading_degrees()

  # accelerate in straight line until you get to desired speed
  print ('accelerating to  speed of '+str(max_speed))
  v = 0.0 # assume we start at zero speed
  aborted = False
  while v < max_speed:
    if car.odometer_meters() > run_track_length:
      aborted = True
      abort_reason = "ran out of track"
      break;
    esc = car.esc_for_velocity(v+2.5)
    steer = car.steering_for_goal_heading_degrees(goal_heading)
    car.set_esc_and_str(esc,steer)
    time.sleep(0.02)
    v = car.get_velocity_meters_per_second()

  print('done accelerating at {:4.1f} meters'.format(car.odometer_meters()))


  print('testing at esc: {}'.format(test_esc))
  queue = Queue.Queue()
  car.add_listener(queue)

  data = []
  # set the esc to given test setting
  while True:
    # go straight and record data until one of three things happens
    esc = test_esc
    steer = car.steering_for_goal_heading_degrees(goal_heading)
    car.set_esc_and_str(esc,steer)
    message = queue.get(block=True, timeout = 0.05)
    data.append(message)
   
    #
    # 1. You come to a full stop
    v = car.get_velocity_meters_per_second()
    if v <= 0.:
      print('test concluded at velocity zero')
      break
    # 2. Your speed stabilizes
    # 3. You reach distance limit
    if car.odometer_meters()  > run_track_length:
      print('test length exceeded, allowing room to stop')
      break
    # 4. You detect that you are skidding
  car.remove_listener(queue)

  if v > 0:
    print('applying safety brake at {} meters and velocity {}'.format(car.odometer_meters(), v))
    # put on "safe level" of brakes until your speed reaches zero (or negative)
    while v > 0:
      esc = 1350
      steer = car.steering_for_goal_heading_degrees(goal_heading)
      car.set_esc_and_str(esc,steer)
      time.sleep(0.02)
      v = car.get_velocity_meters_per_second()
    
  # set everything to neutral
  final_distance = car.odometer_meters()
  print('final distance: {} meters'.format(final_distance))
  car.set_manual_mode()

  # save the results of braking to two files
  # car dynamics in one file
  # test settings in another file

  # do a quick analysis of data and print results

  prefix = 'esc/{}_start_{}_esc_{}'.format(note,int(max_speed*10),int(test_esc))
  f = open(next_filename(folder = 'data', prefix = prefix, suffix = '.csv'), 'w')
  print ('seconds,meters,us,esc,odometer_ticks,odometer_last_us,ax,spur_delta_us,spur_odo',file=f)
  for p in data:
    p.seconds = (p.us-data[0].us)/1000000.
    p.meters = (p.odometer_ticks-data[0].odometer_ticks)*car.meters_per_odometer_tick
    fields = [p.seconds,p.meters,p.us,p.esc,p.odometer_ticks,p.odometer_last_us,p.ax,p.spur_delta_us,p.spur_odo]
    print(",".join([str(field) for field in fields]), file=f)
  print('np polyfit 2 result',np.polyfit([p.seconds for p in data], [p.meters for p in data], 2))
  print('np polyfit 3 result',np.polyfit([p.seconds for p in data], [p.meters for p in data], 3))


  # distance to stop from speed, distance left in track
  # whether skidding occurred
  # estimate of acceleration using linear fit
  # estimate of acceleration using polynomial fit (TBD: model for this, probably adding k*v^2 term for wind resistance)

  car.reset_odometry()
  time.sleep(0.01)
  route = reverse_route(final_distance, max_a=0.5, max_v=2.)
  play_route(route, car = car)
  car.set_manual_mode()