ECEN5458/Software/python/hwtest.py

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Python
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import time
import numpy as np
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import board
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import busio
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import digitalio
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from adafruit_servokit import ServoKit
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import adafruit_ads1x15.ads1015 as ADS
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from adafruit_ads1x15.analog_in import AnalogIn
import threading
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from bokeh.io import curdoc
from bokeh.layouts import column, row
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from bokeh.models import ColumnDataSource, Slider, TextInput, Button
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from bokeh.plotting import figure
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DEBUG = False
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# Configure MUX for ADC
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mux_io = [None] * 4
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mux_io[0] = digitalio.DigitalInOut(board.D23)
mux_io[1] = digitalio.DigitalInOut(board.D22)
mux_io[2] = digitalio.DigitalInOut(board.D27)
mux_io[3] = digitalio.DigitalInOut(board.D17)
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for ii, io in enumerate(mux_io):
io.switch_to_output()
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# Configure ADC
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i2c = busio.I2C(board.SCL, board.SDA)
adc = ADS.ADS1015(i2c)
adc_mux = AnalogIn(adc, ADS.P0)
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adc_lock = threading.Lock()
# Configure Servo Driver
servos = ServoKit(channels=16).continuous_servo
servos[0].throttle = 0
servos[1].throttle = 0
servos[2].throttle = 0
# Initialize calibration
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try:
white_cal = np.loadtxt('cal_white.txt')
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except IOError:
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white_cal = [0]*8
try:
black_cal = np.loadtxt('cal_black.txt')
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except IOError:
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black_cal = [5]*8
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def get_reflectivity(chan):
global mux_io
global adc_mux
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global adc_lock
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chan = int(chan)
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mux = 1-np.array(list(f"{chan:04b}"), dtype=int)
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adc_lock.acquire()
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for ii, io in enumerate(mux_io):
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io.value = mux[ii]
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voltage = adc_mux.voltage
adc_lock.release()
return voltage
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def get_normalized_reflectivity(chan):
global white_cal
global black_cal
return (get_reflectivity(chan) - black_cal[chan]) / (white_cal[chan] - black_cal[chan])
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# Initialize brightness data
brightness_idx = np.arange(8)
brightness = [get_normalized_reflectivity(c) for c in range(8)]
# Initialize time data
time_data = np.empty((0, 3)) # [[t, e, c]]
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# Create sources for plots
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brightness_plot_source = ColumnDataSource(data=dict(sensor=brightness_idx, brightness=brightness))
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time_plot_source = ColumnDataSource(data=dict(t=time_data[:,0], e=time_data[:,1], c=time_data[:,2]))
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# Set up plots
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brightness_plot = figure(plot_height=150, plot_width=400, x_range=[0, 7], y_range=[0, 1], tools="save")
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brightness_plot.line('sensor', 'brightness', source=brightness_plot_source, line_width=3)
brightness_plot.circle('sensor', 'brightness', source=brightness_plot_source, size=8, fill_color="white", line_width=2)
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time_plot = figure(plot_height=400, plot_width=800, y_range=[-1, 1], tools="pan,reset,save,wheel_zoom")
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time_plot.line('t', 'e', source=time_plot_source, line_width=3, line_alpha=0.6, legend_label="e(t)")
time_plot.line('t', 'c', source=time_plot_source, line_width=3, line_alpha=0.6, legend_label="c(t)", line_color = "green")
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# Controller thread
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control_thread_run = False
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def controller():
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global brightness
global time_data
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global servos
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global control_thread_run
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# TODO: make these parameters editable via network interface
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sample_interval = 0.01
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base_speed = 0.1
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fir_taps = [1, 0, 0]
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iir_taps = [0, 0]
time_data = np.zeros((max(len(fir_taps), len(iir_taps)), time_data.shape[1]))
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motor_directions = [1, -1, 0]
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steering_sign = 1
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print("INFO: Controller started")
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# Precompute
this_time = 0
new_c = 0
motor_speed = np.array(motor_directions) * base_speed
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while control_thread_run:
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# Read error
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brightness = np.clip([get_normalized_reflectivity(c) for c in range(8)], 0, 1)
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line_position = np.sum((1 - brightness) * (np.arange(8) - 3.5)) / np.sum(1-brightness) / 3.5
if np.isnan(line_position):
line_position = 0
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# Calculate output
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new_c += fir_taps[0] * line_position
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motor_speed += steering_sign * new_c
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# Update motors
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for ii in range(3):
servos[ii].throttle = motor_speed[ii]
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# Log data
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new_time_data = [[this_time, line_position, new_c]]
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time_data = np.concatenate((time_data, new_time_data))
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# Print data
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if DEBUG:
for b in brightness:
print(f"{b:1.2f}\t", end="")
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print(f"{line_position:+1.2f}", end="")
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print()
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# Precompute for next iteration
this_time = time_data[-1, 0] + sample_interval
c = time_data[:,2]
e = time_data[:,1]
new_c = np.sum(fir_taps[1:] * e[-len(fir_taps)+1:]) - np.sum(iir_taps * c[-len(iir_taps):])
motor_speed = np.array(motor_directions) * base_speed
# TODO: replace sleep statement with something that doesn't depend on execution time of loop
time.sleep(sample_interval)
print("INFO: Controller stopped")
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control_thread = None
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# Callback functions
def update_plots(attrname=None, old=None, new=None):
global brightness
global time_data
global brightness_plot_source
global control_thread_run
if control_thread_run:
brightness_plot_source.data = dict(sensor=brightness_idx, brightness=brightness)
time_plot_source.data = dict(t=time_data[:,0], e=time_data[:,1], c=time_data[:,2])
else:
brightness = np.clip([get_normalized_reflectivity(c) for c in range(8)], 0, 1)
brightness_plot_source.data = dict(sensor=brightness_idx, brightness=brightness)
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def cal_white(attrname=None, old=None, new=None):
global white_cal
white_cal = [get_reflectivity(c) for c in range(8)]
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np.savetxt('cal_white.txt', white_cal)
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update_plots()
def cal_black(attrname=None, old=None, new=None):
global black_cal
black_cal = [get_reflectivity(c) for c in range(8)]
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np.savetxt('cal_black.txt', black_cal)
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update_plots()
def start_controller(attrname=None, old=None, new=None):
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global control_thread
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global control_thread_run
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control_thread_run = True
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control_thread = threading.Thread(target=controller)
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control_thread.daemon = True
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control_thread.start()
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def stop_controller(attrname=None, old=None, new=None):
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global control_thread
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global control_thread_run
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try:
control_thread_run = False
control_thread.join()
control_thread = None
except:
pass
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servos[ii].throttle = 0
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# GUI elements
cal_white_button = Button(label="Cal White")
cal_white_button.on_click(cal_white)
cal_black_button = Button(label="Cal Black")
cal_black_button.on_click(cal_black)
start_button = Button(label="Start")
start_button.on_click(start_controller)
stop_button = Button(label="Stop")
stop_button.on_click(stop_controller)
controls = column(cal_white_button, cal_black_button, start_button, stop_button)
curdoc().add_root(column(row(controls, brightness_plot, width=800), time_plot))
curdoc().title = "TriangleBot Control Panel"
curdoc().add_periodic_callback(update_plots, 250)