data/method/mavlink/pymavlink/tools/magfit_motors.py

149 lines
4.7 KiB
Python

#!/usr/bin/env python
'''
fit best estimate of magnetometer offsets, trying to take into account motor interference
'''
from __future__ import print_function
from builtins import range
from argparse import ArgumentParser
parser = ArgumentParser(description=__doc__)
parser.add_argument("--no-timestamps",dest="notimestamps", action='store_true', help="Log doesn't have timestamps")
parser.add_argument("--condition",dest="condition", default=None, help="select packets by condition")
parser.add_argument("--noise", type=float, default=0, help="noise to add")
parser.add_argument("logs", metavar="LOG", nargs="+")
args = parser.parse_args()
from pymavlink import mavutil
from pymavlink.rotmat import Vector3
def noise():
'''a noise vector'''
from random import gauss
v = Vector3(gauss(0, 1), gauss(0, 1), gauss(0, 1))
v.normalize()
return v * args.noise
def select_data(data):
ret = []
counts = {}
for d in data:
(mag,motor) = d
key = "%u:%u:%u" % (mag.x/20,mag.y/20,mag.z/20)
if key in counts:
counts[key] += 1
else:
counts[key] = 1
if counts[key] < 3:
ret.append(d)
print(len(data), len(ret))
return ret
def radius(d, offsets, motor_ofs):
'''return radius give data point and offsets'''
(mag, motor) = d
return (mag + offsets + motor*motor_ofs).length()
def radius_cmp(a, b, offsets, motor_ofs):
'''return radius give data point and offsets'''
diff = radius(a, offsets, motor_ofs) - radius(b, offsets, motor_ofs)
if diff > 0:
return 1
if diff < 0:
return -1
return 0
def sphere_error(p, data):
x,y,z,mx,my,mz,r = p
ofs = Vector3(x,y,z)
motor_ofs = Vector3(mx,my,mz)
ret = []
for d in data:
(mag,motor) = d
err = r - radius((mag,motor), ofs, motor_ofs)
ret.append(err)
return ret
def fit_data(data):
from scipy import optimize
p0 = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
p1, ier = optimize.leastsq(sphere_error, p0[:], args=(data))
if not ier in [1, 2, 3, 4]:
raise RuntimeError("Unable to find solution")
return (Vector3(p1[0], p1[1], p1[2]), Vector3(p1[3], p1[4], p1[5]), p1[6])
def magfit(logfile):
'''find best magnetometer offset fit to a log file'''
print("Processing log %s" % filename)
mlog = mavutil.mavlink_connection(filename, notimestamps=args.notimestamps)
data = []
last_t = 0
offsets = Vector3(0,0,0)
motor_ofs = Vector3(0,0,0)
motor = 0.0
# now gather all the data
while True:
m = mlog.recv_match(condition=args.condition)
if m is None:
break
if m.get_type() == "PARAM_VALUE" and m.param_id == "RC3_MIN":
rc3_min = float(m.param_value)
if m.get_type() == "SENSOR_OFFSETS":
# update current offsets
offsets = Vector3(m.mag_ofs_x, m.mag_ofs_y, m.mag_ofs_z)
if m.get_type() == "SERVO_OUTPUT_RAW":
motor_pwm = m.servo1_raw + m.servo2_raw + m.servo3_raw + m.servo4_raw
motor_pwm *= 0.25
rc3_min = mlog.param('RC3_MIN', 1100)
rc3_max = mlog.param('RC3_MAX', 1900)
motor = (motor_pwm - rc3_min) / (rc3_max - rc3_min)
if motor > 1.0:
motor = 1.0
if motor < 0.0:
motor = 0.0
if m.get_type() == "RAW_IMU":
mag = Vector3(m.xmag, m.ymag, m.zmag)
# add data point after subtracting the current offsets
data.append((mag - offsets + noise(), motor))
print("Extracted %u data points" % len(data))
print("Current offsets: %s" % offsets)
data = select_data(data)
# do an initial fit with all data
(offsets, motor_ofs, field_strength) = fit_data(data)
for count in range(3):
# sort the data by the radius
data.sort(lambda a,b : radius_cmp(a,b,offsets,motor_ofs))
print("Fit %u : %s %s field_strength=%6.1f to %6.1f" % (
count, offsets, motor_ofs,
radius(data[0], offsets, motor_ofs), radius(data[-1], offsets, motor_ofs)))
# discard outliers, keep the middle 3/4
data = data[len(data)/8:-len(data)/8]
# fit again
(offsets, motor_ofs, field_strength) = fit_data(data)
print("Final : %s %s field_strength=%6.1f to %6.1f" % (
offsets, motor_ofs,
radius(data[0], offsets, motor_ofs), radius(data[-1], offsets, motor_ofs)))
print("mavgraph.py '%s' 'mag_field(RAW_IMU)' 'mag_field_motors(RAW_IMU,SENSOR_OFFSETS,(%f,%f,%f),SERVO_OUTPUT_RAW,(%f,%f,%f))'" % (
filename,
offsets.x,offsets.y,offsets.z,
motor_ofs.x, motor_ofs.y, motor_ofs.z))
total = 0.0
for filename in args.logs:
magfit(filename)