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'''
Takes a set of keplerian elements (a, e, i, ω, Ω, v) and transforms it into a state vector
(x, y, z, vx, vy, vz) where v is the velocity of the satellite
'''
import numpy as np
from math import *
def kep_state(kep):
'''
Converts the keplerian elements to position and velocity vector
Args:
kep(numpy array): a 1x6 matrix which contains the following variables
kep(0): semi major axis (km)
kep(1): eccentricity (number)
kep(2): inclination (degrees)
kep(3): argument of perigee (degrees)
kep(4): right ascension of the ascending node (degrees)
kep(5): true anomaly (degrees)
Returns:
numpy array: 1x6 matrix which contains the position and velocity vector
r(0),r(1),r(2): position vector (x,y,z) km
r(3),r(4),r(5): velocity vector (vx,vy,vz) km/s
'''
r = np.zeros((6, 1))
mu = 398600.4405
# unload orbital elements array
sma = kep[0, 0]
ecc = kep[1, 0]
inc = kep[2, 0]
inc = radians(inc)
argper = kep[3, 0]
argper = radians(argper)
raan = kep[4, 0]
raan = radians(raan)
tanom = kep[5, 0]
tanom = radians(tanom)
slr = sma * (1 - ecc * ecc)
rm = slr / (1 + ecc * cos(tanom))
arglat = argper + tanom # argument of latitude
sarglat = sin(arglat)
carglat = cos(arglat)
c4 = sqrt(mu / slr)
c5 = ecc * cos(argper) + carglat
c6 = ecc * sin(argper) + sarglat
sinc = sin(inc)
cinc = cos(inc)
sraan = sin(raan)
craan = cos(raan)
# position vector
r[0, 0] = rm * (craan * carglat - sraan * cinc * sarglat)
r[1, 0] = rm * (sraan * carglat + cinc * sarglat * craan)
r[2, 0] = rm * sinc * sarglat
# velocity vector
r[3, 0] = -c4 * (craan * c6 + sraan * cinc * c5)
r[4, 0] = -c4 * (sraan * c6 - craan * cinc * c5)
r[5, 0] = c4 * c5 * sinc
# # transform r and v into ECI frame
#
# R1inc = np.array([[1, 0, 0],
# [0, cos(-inc), sin(-inc)],
# [0, -sin(-inc), cos(-inc)]
# ])
# R3raan = np.array([[cos(-raan), sin(-raan), 0],
# [-sin(-raan), cos(-raan), 0],
# [0, 0, 1]
# ])
# R3argper = np.array([[cos(-argper), sin(-argper), 0],
# [-sin(-argper), cos(-argper), 0],
# [0, 0, 1]
# ])
#
# r_final1 = np.dot(R3raan, R1inc)
# r_final2 = np.dot(R3argper, r[0:3])
#
# r_final = np.dot(r_final1, r_final2)
# print(r_final)
# v_final1 = np.dot(R3raan, R1inc)
# v_final2 = np.dot(R3argper, r[3:6])
# v_final = np.dot(v_final1, v_final2)
# print(v_final)
#
# r[0:3] = r_final
# r[3:6] = v_final
return r
if __name__ == "__main__":
kep = np.array([[15711.578566], [0.377617], [90.0], [0.887383], [0.0], [28.357744]])
r = kep_state(kep)
print(r)