ardupilot/libraries/AP_Declination/generate/generate.py

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#!/usr/bin/env python3
'''
generate field tables from IGRF12. Note that this requires python3
'''
2018-09-02 20:02:04 -03:00
import igrf12 as igrf
import numpy as np
import datetime
from pathlib import Path
from pymavlink.rotmat import Vector3, Matrix3
import math
import argparse
parser = argparse.ArgumentParser(description='generate mag tables')
parser.add_argument('--sampling-res', type=int, default=10, help='sampling resolution, degrees')
parser.add_argument('--check-error', action='store_true', help='check max error')
parser.add_argument('--filename', type=str, default='tables.cpp', help='tables file')
args = parser.parse_args()
if not Path("AP_Declination.h").is_file():
raise OSError("Please run this tool from the AP_Declination directory")
def write_table(f,name, table):
'''write one table'''
f.write("const float AP_Declination::%s[%u][%u] = {\n" %
(name, NUM_LAT, NUM_LON))
for i in range(NUM_LAT):
f.write(" {")
for j in range(NUM_LON):
f.write("%.5ff" % table[i][j])
if j != NUM_LON-1:
f.write(",")
f.write("}")
if i != NUM_LAT-1:
f.write(",")
f.write("\n")
f.write("};\n\n")
date = datetime.datetime.now()
SAMPLING_RES = args.sampling_res
SAMPLING_MIN_LAT = -90
SAMPLING_MAX_LAT = 90
SAMPLING_MIN_LON = -180
SAMPLING_MAX_LON = 180
lats = np.arange(SAMPLING_MIN_LAT, SAMPLING_MAX_LAT+SAMPLING_RES, SAMPLING_RES)
lons = np.arange(SAMPLING_MIN_LON, SAMPLING_MAX_LON+SAMPLING_RES, SAMPLING_RES)
NUM_LAT = lats.size
NUM_LON = lons.size
intensity_table = np.empty((NUM_LAT, NUM_LON))
inclination_table = np.empty((NUM_LAT, NUM_LON))
declination_table = np.empty((NUM_LAT, NUM_LON))
max_error = 0
max_error_pos = None
max_error_field = None
def get_igrf(lat, lon):
'''return field as [declination_deg, inclination_deg, intensity_gauss]'''
mag = igrf.igrf(date, glat=lat, glon=lon, alt_km=0., isv=0, itype=1)
intensity = float(mag.total/1e5)
inclination = float(mag.incl)
declination = float(mag.decl)
return [declination, inclination, intensity]
def interpolate_table(table, latitude_deg, longitude_deg):
'''interpolate inside a table for a given lat/lon in degrees'''
# round down to nearest sampling resolution
min_lat = int(math.floor(latitude_deg / SAMPLING_RES) * SAMPLING_RES)
min_lon = int(math.floor(longitude_deg / SAMPLING_RES) * SAMPLING_RES)
# find index of nearest low sampling point
min_lat_index = int(math.floor(-(SAMPLING_MIN_LAT) + min_lat) / SAMPLING_RES)
min_lon_index = int(math.floor(-(SAMPLING_MIN_LON) + min_lon) / SAMPLING_RES)
# calculate intensity
data_sw = table[min_lat_index][min_lon_index]
data_se = table[min_lat_index][min_lon_index + 1]
data_ne = table[min_lat_index + 1][min_lon_index + 1]
data_nw = table[min_lat_index + 1][min_lon_index]
# perform bilinear interpolation on the four grid corners
data_min = ((longitude_deg - min_lon) / SAMPLING_RES) * (data_se - data_sw) + data_sw
data_max = ((longitude_deg - min_lon) / SAMPLING_RES) * (data_ne - data_nw) + data_nw
value = ((latitude_deg - min_lat) / SAMPLING_RES) * (data_max - data_min) + data_min
return value
'''
calculate magnetic field intensity and orientation, interpolating in tables
returns array [declination_deg, inclination_deg, intensity] or None
'''
def interpolate_field(latitude_deg, longitude_deg):
# limit to table bounds
if latitude_deg < SAMPLING_MIN_LAT:
return None
if latitude_deg >= SAMPLING_MAX_LAT:
return None
if longitude_deg < SAMPLING_MIN_LON:
return None
if longitude_deg >= SAMPLING_MAX_LON:
return None
intensity_gauss = interpolate_table(intensity_table, latitude_deg, longitude_deg)
declination_deg = interpolate_table(declination_table, latitude_deg, longitude_deg)
inclination_deg = interpolate_table(inclination_table, latitude_deg, longitude_deg)
return [declination_deg, inclination_deg, intensity_gauss]
def field_to_Vector3(mag):
'''return mGauss field from dec, inc and intensity'''
R = Matrix3()
mag_ef = Vector3(mag[2]*1000.0, 0.0, 0.0)
R.from_euler(0.0, -math.radians(mag[1]), math.radians(mag[0]))
return R * mag_ef
def test_error(lat, lon):
'''check for error from lat,lon'''
global max_error, max_error_pos, max_error_field
mag1 = get_igrf(lat, lon)
mag2 = interpolate_field(lat, lon)
ef1 = field_to_Vector3(mag1)
ef2 = field_to_Vector3(mag2)
err = (ef1 - ef2).length()
if err > max_error or err > 100:
print(lat, lon, err, ef1, ef2)
max_error = err
max_error_pos = (lat, lon)
max_error_field = ef1 - ef2
def test_max_error(lat, lon):
'''check for maximum error from lat,lon over SAMPLING_RES range'''
steps = 3
delta = SAMPLING_RES/steps
for i in range(steps):
for j in range(steps):
lat2 = lat + i * delta
lon2 = lon + j * delta
if lat2 >= SAMPLING_MAX_LAT or lon2 >= SAMPLING_MAX_LON:
continue
if lat2 <= SAMPLING_MIN_LAT or lon2 <= SAMPLING_MIN_LON:
continue
test_error(lat2, lon2)
for i,lat in enumerate(lats):
for j,lon in enumerate(lons):
mag = get_igrf(lat, lon)
declination_table[i][j] = mag[0]
inclination_table[i][j] = mag[1]
intensity_table[i][j] = mag[2]
with open(args.filename, 'w') as f:
f.write('''// this is an auto-generated file from the IGRF tables. Do not edit
// To re-generate run generate/generate.py
#include "AP_Declination.h"
''')
f.write('''const float AP_Declination::SAMPLING_RES = %u;
const float AP_Declination::SAMPLING_MIN_LAT = %u;
const float AP_Declination::SAMPLING_MAX_LAT = %u;
const float AP_Declination::SAMPLING_MIN_LON = %u;
const float AP_Declination::SAMPLING_MAX_LON = %u;
''' % (SAMPLING_RES,
SAMPLING_MIN_LAT,
SAMPLING_MAX_LAT,
SAMPLING_MIN_LON,
SAMPLING_MAX_LON))
write_table(f,'declination_table', declination_table)
write_table(f,'inclination_table', inclination_table)
write_table(f,'intensity_table', intensity_table)
if args.check_error:
print("Checking for maximum error")
for lat in range(-60,60,1):
for lon in range(-180,180,1):
test_max_error(lat, lon)
print("Generated with max error %.2f %s at (%.2f,%.2f)" % (
max_error, max_error_field, max_error_pos[0], max_error_pos[1]))
print("Table generated in %s" % args.filename)