kiln-controller-max31856/kiln-tuner.py

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6.4 KiB
Python
Executable File

#!/usr/bin/env python
import os
import sys
import csv
import time
import argparse
try:
sys.dont_write_bytecode = True
import config
sys.dont_write_bytecode = False
except ImportError:
print("Could not import config file.")
print("Copy config.py.EXAMPLE to config.py and adapt it for your setup.")
exit(1)
def recordprofile(csvfile, targettemp):
script_dir = os.path.dirname(os.path.realpath(__file__))
sys.path.insert(0, script_dir + '/lib/')
from oven import RealOven, SimulatedOven
# open the file to log data to
f = open(csvfile, 'w')
csvout = csv.writer(f)
csvout.writerow(['time', 'temperature'])
# construct the oven
if config.simulate:
oven = SimulatedOven()
oven.target = targettemp * 2 # insures max heating for simulation
else:
oven = RealOven()
# Main loop:
#
# * heat the oven to the target temperature at maximum burn.
# * when we reach it turn the heating off completely.
# * wait for it to decay back to the target again.
# * quit
#
# We record the temperature every config.sensor_time_wait
try:
# heating to target of 400F
temp = 0
sleepfor = config.sensor_time_wait
stage = "heating"
while(temp <= targettemp):
if config.simulate:
oven.heat_then_cool()
else:
oven.output.heat(sleepfor)
temp = oven.board.temp_sensor.temperature() + \
config.thermocouple_offset
print("stage = %s, actual = %.2f, target = %.2f" % (stage,temp,targettemp))
csvout.writerow([time.time(), temp])
f.flush()
# overshoot past target of 400F and then cooling down to 400F
stage = "cooling"
if config.simulate:
oven.target = 0
while(temp >= targettemp):
if config.simulate:
oven.heat_then_cool()
else:
oven.output.cool(sleepfor)
temp = oven.board.temp_sensor.temperature() + \
config.thermocouple_offset
print("stage = %s, actual = %.2f, target = %.2f" % (stage,temp,targettemp))
csvout.writerow([time.time(), temp])
f.flush()
finally:
f.close()
# ensure we always shut the oven down!
if not config.simulate:
oven.output.cool(0)
def line(a, b, x):
return a * x + b
def invline(a, b, y):
return (y - b) / a
def plot(xdata, ydata,
tangent_min, tangent_max, tangent_slope, tangent_offset,
lower_crossing_x, upper_crossing_x):
from matplotlib import pyplot
minx = min(xdata)
maxx = max(xdata)
miny = min(ydata)
maxy = max(ydata)
pyplot.scatter(xdata, ydata)
pyplot.plot([minx, maxx], [miny, miny], '--', color='purple')
pyplot.plot([minx, maxx], [maxy, maxy], '--', color='purple')
pyplot.plot(tangent_min[0], tangent_min[1], 'v', color='red')
pyplot.plot(tangent_max[0], tangent_max[1], 'v', color='red')
pyplot.plot([minx, maxx], [line(tangent_slope, tangent_offset, minx), line(tangent_slope, tangent_offset, maxx)], '--', color='red')
pyplot.plot([lower_crossing_x, lower_crossing_x], [miny, maxy], '--', color='black')
pyplot.plot([upper_crossing_x, upper_crossing_x], [miny, maxy], '--', color='black')
pyplot.show()
def calculate(filename, tangentdivisor, showplot):
# parse the csv file
xdata = []
ydata = []
filemintime = None
with open(filename) as f:
for row in csv.DictReader(f):
try:
time = float(row['time'])
temp = float(row['temperature'])
if filemintime is None:
filemintime = time
xdata.append(time - filemintime)
ydata.append(temp)
except ValueError:
continue # just ignore bad values!
# gather points for tangent line
miny = min(ydata)
maxy = max(ydata)
midy = (maxy + miny) / 2
yoffset = int((maxy - miny) / tangentdivisor)
tangent_min = tangent_max = None
for i in range(0, len(xdata)):
rowx = xdata[i]
rowy = ydata[i]
if rowy >= (midy - yoffset) and tangent_min is None:
tangent_min = (rowx, rowy)
elif rowy >= (midy + yoffset) and tangent_max is None:
tangent_max = (rowx, rowy)
# calculate tangent line to the main temperature curve
tangent_slope = (tangent_max[1] - tangent_min[1]) / (tangent_max[0] - tangent_min[0])
tangent_offset = tangent_min[1] - line(tangent_slope, 0, tangent_min[0])
# determine the point at which the tangent line crosses the min/max temperaturess
lower_crossing_x = invline(tangent_slope, tangent_offset, miny)
upper_crossing_x = invline(tangent_slope, tangent_offset, maxy)
# compute parameters
L = lower_crossing_x - min(xdata)
T = upper_crossing_x - lower_crossing_x
# Magic Ziegler-Nicols constants ahead!
Kp = 1.2 * (T / L)
Ti = 2 * L
Td = 0.5 * L
Ki = Kp / Ti
Kd = Kp * Td
# output to the user
print("pid_kp = %s" % (Kp))
print("pid_ki = %s" % (1 / Ki))
print("pid_kd = %s" % (Kd))
if showplot:
plot(xdata, ydata,
tangent_min, tangent_max, tangent_slope, tangent_offset,
lower_crossing_x, upper_crossing_x)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Kiln tuner')
parser.add_argument('-c', '--calculate_only', action='store_true')
parser.add_argument('-t', '--target_temp', type=float, default=400, help="Target temperature")
parser.add_argument('-d', '--tangent_divisor', type=float, default=8, help="Adjust the tangent calculation to fit better. Must be >= 2 (default 8).")
parser.add_argument('-s', '--showplot', action='store_true', help="draw plot so you can see tanget line and possibly change")
args = parser.parse_args()
csvfile = "tuning.csv"
target = args.target_temp
if config.temp_scale.lower() == "c":
target = (target - 32)*5/9
tangentdivisor = args.tangent_divisor
# default behavior is to record profile to csv file tuning.csv
# and then calculate pid values and print them
if args.calculate_only:
calculate(csvfile, tangentdivisor, args.showplot)
else:
recordprofile(csvfile, target)
calculate(csvfile, tangentdivisor, args.showplot)