def solve(self, *args, validate_barker=True, verbose=False, **kwargs):
"Solves Lambert's problem for the requested transfer."
# departure and arrival epochs
dep_t = pk.epoch(self.dep_t, 'mjd')
arr_t = pk.epoch(self.arr_t, 'mjd')
# departure and arrival positions & velocities
# /-> (could obtain `dep_ast_eph` in `lambert_optimize_dt` and pass it as
# | argument to avoid having it being repeatedly calculated here)
# r1, v1 = self.dep_ast.eph(dep_t) if dep_ast_eph is None else dep_ast_eph
r1, v1 = self.dep_ast.eph(dep_t)
r2, v2 = self.arr_ast.eph(arr_t)
# Barker equation used to skip useless Lambert computations
# https://en.wikipedia.org/wiki/Parabolic_trajectory#Barker.27s_equation
if validate_barker and self.dT < pk.barker(r1, r2, MU_SUN) * SEC2DAY:
if verbose:
print(self.dT, 'Fails Barker:', self.dT,
pk.barker(r1, r2, MU_SUN) * SEC2DAY)
self.fail()
return None
l = pk.lambert_problem(r1, r2, self.dT * DAY2SEC, MU_SUN)
# don't compute any multi-rev solutions:
#l = pk.lambert_problem(r1, r2, self.dT * DAY2SEC, MU_SUN, False, 0)
return l, v1, v2
def lambert_leg(P1, P2, i, j, t1, t2, tof, vrel=None, dv_launch=0.):
"""Compute a lambert leg from planet to planet.
Arguments:
p1 -- starting planet (str or PyKEP.planet object)
p2 -- final planet (str or PyKEP.planet object)
t0 -- start time of leg in MJD2000
tof -- time of flight in days
Keyword arguments:
vrel -- caresian coordinates of the relative velocity before the flyby at p1
dv_launch -- dv discounted at lunch (i.e. if vrel is None)
rendezvous -- add final dv
Returns:
dV, vrel_out, where vrel_out is the relative velocity at the end of the leg at p2
"""
ast1 = ASTEROIDS[P1]
ast2 = ASTEROIDS[P2]
r1 = state_asteroids.EPH[i][t1][0]
v1 = state_asteroids.EPH[i][t1][1]
r2 = state_asteroids.EPH[j][t2][0]
v2 = state_asteroids.EPH[j][t2][1]
lambert = kep.lambert_problem(r1, r2, tof * kep.DAY2SEC, ast1.mu_central_body, False, 0)
vrel_in = tuple(map(lambda x, y: x - y, lambert.get_v1()[0], v1))
vrel_out = tuple(map(lambda x, y: x - y, lambert.get_v2()[0], v2))
dv_lambert = np.linalg.norm(vrel_out) + np.linalg.norm(vrel_in)
a, _, _, dv_damon = kep.damon(vrel_in, vrel_out, tof*kep.DAY2SEC)
m_star = kep.max_start_mass(np.linalg.norm(a), dv_damon, T_max, Isp)
return dv_lambert, dv_damon, m_star
def search_min_dv_to_body(body, departure_date, departure_position, host_velocity, min_time_of_flight, time_delta, number):
time_range = [min_time_of_flight + time_delta*i for i in xrange(number)]
body_positions = [body.eph(time + departure_date.mjd2000)[0] for time in time_range]
departure_velocities = [pk.lambert_problem(departure_position, pos, time*pk.DAY2SEC, pk.MU_SUN, False, 0).get_v1()[0] for pos, time in zip(body_positions, time_range)]
deltaV = [np.linalg.norm(np.array(velocity)-host_velocity) for velocity in departure_velocities]
index_min = np.array(deltaV).argmin()
return index_min, departure_velocities[index_min]
def lamberts(x1, x2, traj):
'''
Takes two position points - numpy arrays with time,x,y,z as elements
and produces two vectors with the state vector for both positions using Lamberts solution
Args:
x1(numpy array): time and position for point 1 [time1,x1,y1,z1]
x2(numpy array): time and position for point 2 [time2,x2,y2,z2]
Returns:
numpy array: velocity vector for point 1 (vx, vy, vz)
'''
x1_new = [1, 1, 1]
x1_new[:] = x1[1:4]
x2_new = [1, 1, 1]
x2_new[:] = x2[1:4]
time = x2[0] - x1[0]
# traj = orbit_trajectory(x1_new, x2_new, time)
l = pkp.lambert_problem(x1_new, x2_new, time, 398600.4405, traj)
v1 = l.get_v1()
v1 = np.asarray(v1)
v1 = np.reshape(v1, 3)
return v1
def orbit_trajectory(x1_new, x2_new, time):
'''
Tool for checking if the motion of the sallite is retrogade or counter - clock wise
Args:
x1 (numpy array): time and position for point 1 [time1,x1,y1,z1]
x2 (numpy array): time and position for point 2 [time2,x2,y2,z2]
time (float): time difference between the 2 points
Returns:
bool: true if we want to keep retrogade, False if we want counter-clock wise
'''
l = pkp.lambert_problem(x1_new, x2_new, time, 398600.4405, False)
v1 = l.get_v1()
v1 = np.asarray(v1)
v1 = np.reshape(v1, 3)
x1_new = np.asarray(x1_new)
kep1 = state_kep.state_kep(x1_new, v1)
if kep1[0] < 0.0:
traj = True
elif kep1[1] > 1.0:
traj = True
else:
traj = False
return traj
def search_min_dv_to_body(body, departure_date, departure_position,
host_velocity, min_time_of_flight, time_delta,
number):
time_range = [min_time_of_flight + time_delta * i for i in xrange(number)]
body_positions = [
body.eph(time + departure_date.mjd2000)[0] for time in time_range
]
departure_velocities = [
pk.lambert_problem(departure_position, pos, time * pk.DAY2SEC,
pk.MU_SUN, False, 0).get_v1()[0]
for pos, time in zip(body_positions, time_range)
]
deltaV = [
np.linalg.norm(np.array(velocity) - host_velocity)
for velocity in departure_velocities
]
index_min = np.array(deltaV).argmin()
return index_min, departure_velocities[index_min]
def lambert_leg(P1, P2, t0, tof):
ast1 = ASTEROIDS[P1]
ast2 = ASTEROIDS[P2]
r1, v1 = ast1.eph(kep.epoch(t0))
r2, v2 = ast2.eph(kep.epoch(t0 + tof))
lambert = kep.lambert_problem(r1, r2, tof * kep.DAY2SEC, ast1.mu_central_body)
vrel_in = tuple(map(lambda x, y: -x + y, lambert.get_v1()[0], v1))
vrel_out = tuple(map(lambda x, y: -x + y, lambert.get_v2()[0], v2))
dv_lambert = np.linalg.norm(vrel_out) + np.linalg.norm(vrel_in)
a, _, _, dv_damon = kep.damon(vrel_in, vrel_out, tof*kep.DAY2SEC)
m_star = kep.max_start_mass(np.linalg.norm(a), dv_damon, T_max, Isp)
return dv_lambert, dv_damon, m_star
def lambert_leg(P1, P2, i, j, t1, t2, tof, vrel=None, dv_launch=0., rendezvous=False):
"""Compute a lambert leg from planet to planet.
Arguments:
p1 -- starting planet (str or PyKEP.planet object)
p2 -- final planet (str or PyKEP.planet object)
t0 -- start time of leg in MJD2000
tof -- time of flight in days
Keyword arguments:
vrel -- caresian coordinates of the relative velocity before the flyby at p1
dv_launch -- dv discounted at lunch (i.e. if vrel is None)
rendezvous -- add final dv
Returns:
dV, vrel_out, where vrel_out is the relative velocity at the end of the leg at p2
"""
p1 = PLANETS[str(P1)]
p2 = PLANETS[str(P2)]
r1 = state_rosetta.EPH[i][t1][0]
v1 = state_rosetta.EPH[i][t1][1]
r2 = state_rosetta.EPH[j][t2][0]
v2 = state_rosetta.EPH[j][t2][1]
lambert = kep.lambert_problem(r1, r2, tof * kep.DAY2SEC, p1.mu_central_body, False, 0)
vrel_in = tuple(map(lambda x, y: x - y, lambert.get_v1()[0], v1))
vrel_out = tuple(map(lambda x, y: x - y, lambert.get_v2()[0], v2))
if vrel is None:
# launch
dv = max(np.linalg.norm(vrel_in) - dv_launch, 0)
else:
# flyby
#print p1.name, p2.name, np.linalg.norm(vrel_in), np.linalg.norm(vrel_out)
dv = kep.fb_vel(vrel, vrel_in, p1)
if rendezvous:
dv += np.linalg.norm(vrel_out)
return dv, vrel_out
def lambert_leg(P1, P2, i, j, t1, t2, tof):
ast1 = ASTEROIDS[P1]
ast2 = ASTEROIDS[P2]
r1 = state_asteroids.EPH[i][t1][0]
v1 = state_asteroids.EPH[i][t1][1]
r2 = state_asteroids.EPH[j][t2][0]
v2 = state_asteroids.EPH[j][t2][1]
lambert = kep.lambert_problem(r1, r2, tof * kep.DAY2SEC, ast1.mu_central_body)
vrel_in = tuple(map(lambda x, y: -x + y, lambert.get_v1()[0], v1))
vrel_out = tuple(map(lambda x, y: -x + y, lambert.get_v2()[0], v2))
dv_lambert = np.linalg.norm(vrel_out) + np.linalg.norm(vrel_in)
a, _, _, dv_damon = kep.damon(vrel_in, vrel_out, tof*kep.DAY2SEC)
m_star = kep.max_start_mass(np.linalg.norm(a), dv_damon, T_max, Isp)
return dv_lambert, dv_damon, m_star
