#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Tue Oct 29 14:11:58 2019 @author: roman """ from sympy import * ################## Here are the variables you can change to see the effects on the cov matrix ########################### yaw_init = 0.5 # ground speed in body frame (comes from ekf2) groundspeed_body_x_init = 5 groundspeed_body_y_init = 5 # true airspeed measured by pitot tube V_init = 7 # heading variance R_yaw_init = rad(15.0)**2 # sideslip variance R_beta_init = rad(15.0)**2 # True airspeed measurement variance R_tas_init = 1.4**2 ######################################################################################################################### # define symbols: true airspeed, sidslip angle, V, beta, yaw, groundspeed_body_x, groundspeed_body_y = symbols('V beta yaw vx_body vy_body') R_tas, R_beta, R_yaw = symbols('R_tas R_beta R_yaw') # body x/y component of relative wind vector ( V is what the airspeed sensor measures) Vx = V * cos(beta) Vy = V * sin(beta) # wind in body frame wind_body_x = groundspeed_body_x - Vx wind_body_y = groundspeed_body_y - Vy # wind in earth frame wind_n = cos(yaw) * wind_body_x - sin(yaw) * wind_body_y wind_e = sin(yaw) * wind_body_x + cos(yaw) * wind_body_y wind_earth = Matrix([wind_n, wind_e]) # jacobian of earth wind vector with respect to states with known uncertainties G = wind_earth.jacobian([V, beta, yaw]) # initial covariance matrix P = Matrix([[R_tas, 0, 0], [0, R_beta,0], [0,0,R_yaw]]) # earth wind covariance matrix, assume 0 sideslip angle P_wind_earth = (G*P*G.T).subs([(beta, 0)]) P_wind_earth_numeric = P_wind_earth.subs([(V, V_init),(yaw, yaw_init), (R_tas, R_tas_init), (R_yaw, R_yaw_init), (R_beta, R_beta_init)]) P_wind_earth_numeric = P_wind_earth_numeric.subs([(groundspeed_body_x, groundspeed_body_x_init), (groundspeed_body_y, groundspeed_body_y_init) ]) print('P[22][22] = ' + str(P_wind_earth_numeric[0,0])) print('P[22][23] = ' + str(P_wind_earth_numeric[0,1])) print('P[23][22] = ' + str(P_wind_earth_numeric[1,0])) print('P[23][23] = ' + str(P_wind_earth_numeric[1,1]))