def test_atmospheric_drag():
# http://farside.ph.utexas.edu/teaching/celestial/Celestialhtml/node94.html#sair (10.148)
# given the expression for \dot{r} / r, aproximate \Delta r \approx F_r * \Delta t
R = Earth.R.to(u.km).value
k = Earth.k.to(u.km**3 / u.s**2).value
# parameters of a circular orbit with h = 250 km (any value would do, but not too small)
orbit = Orbit.circular(Earth, 250 * u.km)
r0, _ = orbit.rv()
r0 = r0.to(u.km).value
# parameters of a body
C_D = 2.2 # dimentionless (any value would do)
A = ((np.pi / 4.0) * (u.m**2)).to(u.km**2).value # km^2
m = 100 # kg
B = C_D * A / m
# parameters of the atmosphere
rho0 = Earth.rho0.to(u.kg / u.km**3).value # kg/km^3
H0 = Earth.H0.to(u.km).value
tof = 100000 # s
dr_expected = -B * rho0 * np.exp(-(norm(r0) - R) / H0) * np.sqrt(k * norm(r0)) * tof
# assuming the atmospheric decay during tof is small,
# dr_expected = F_r * tof (Newton's integration formula), where
# F_r = -B rho(r) |r|^2 sqrt(k / |r|^3) = -B rho(r) sqrt(k |r|)
r, v = cowell(orbit, tof, ad=atmospheric_drag, R=R, C_D=C_D, A=A, m=m, H0=H0, rho0=rho0)
assert_quantity_allclose(norm(r) - norm(r0), dr_expected, rtol=1e-2)
def test_cowell_propagation_circle_to_circle():
# From [Edelbaum, 1961]
accel = 1e-7
def constant_accel(t0, u, k):
v = u[3:]
norm_v = (v[0]**2 + v[1]**2 + v[2]**2)**.5
return accel * v / norm_v
ss = Orbit.circular(Earth, 500 * u.km)
tof = 20 * ss.period
r0, v0 = ss.rv()
k = ss.attractor.k
r, v = cowell(k.to(u.km**3 / u.s**2).value,
r0.to(u.km).value,
v0.to(u.km / u.s).value,
tof.to(u.s).value,
ad=constant_accel)
ss_final = Orbit.from_vectors(Earth,
r * u.km,
v * u.km / u.s)
da_a0 = (ss_final.a - ss.a) / ss.a
dv_v0 = abs(norm(ss_final.v) - norm(ss.v)) / norm(ss.v)
assert_almost_equal(da_a0.value, 2 * dv_v0.value, decimal=4)
dv = abs(norm(ss_final.v) - norm(ss.v))
accel_dt = accel * u.km / u.s**2 * tof
assert_almost_equal(dv.value, accel_dt.value, decimal=4)
def test_cowell_propagation_circle_to_circle():
# From [Edelbaum, 1961]
accel = 1e-7
def constant_accel(t0, u, k):
v = u[3:]
norm_v = (v[0]**2 + v[1]**2 + v[2]**2)**.5
return accel * v / norm_v
ss = Orbit.circular(Earth, 500 * u.km)
tof = 20 * ss.period
r, v = cowell(ss,
tof.to(u.s).value,
ad=constant_accel)
ss_final = Orbit.from_vectors(
Earth, r * u.km, v * u.km / u.s)
da_a0 = (ss_final.a - ss.a) / ss.a
dv_v0 = abs(norm(ss_final.v) - norm(ss.v)) / norm(ss.v)
assert_quantity_allclose(da_a0, 2 * dv_v0, rtol=1e-2)
dv = abs(norm(ss_final.v) - norm(ss.v))
accel_dt = accel * u.km / u.s**2 * tof
assert_quantity_allclose(dv, accel_dt, rtol=1e-2)
def test_leo_geo_numerical(inc_0):
edelbaum_accel = guidance_law(k, a_0, a_f, inc_0, inc_f, f)
_, t_f = extra_quantities(k, a_0, a_f, inc_0, inc_f, f)
# Retrieve r and v from initial orbit
s0 = Orbit.circular(Earth, a_0 * u.km - Earth.R, inc_0 * u.rad)
r0, v0 = s0.rv()
# Propagate orbit
r, v = cowell(k,
r0.to(u.km).value,
v0.to(u.km / u.s).value,
t_f,
ad=edelbaum_accel,
nsteps=1000000)
sf = Orbit.from_vectors(Earth,
r * u.km,
v * u.km / u.s,
s0.epoch + t_f * u.s)
assert_allclose(sf.a.to(u.km).value, a_f, rtol=1e-5)
assert_allclose(sf.ecc.value, 0.0, atol=1e-2)
assert_allclose(sf.inc.to(u.rad).value, inc_f, atol=1e-3)
def test_pqw_for_circular_equatorial_orbit():
ss = Orbit.circular(Earth, 600 * u.km)
expected_p = [1, 0, 0] * u.one
expected_q = [0, 1, 0] * u.one
expected_w = [0, 0, 1] * u.one
p, q, w = ss.pqw()
assert_allclose(p, expected_p)
assert_allclose(q, expected_q)
assert_allclose(w, expected_w)
def test_sample_custom_body_raises_warning_and_returns_coords():
# See https://github.com/poliastro/poliastro/issues/649
orbit = Orbit.circular(Moon, 100 * u.km)
with pytest.warns(
UserWarning, match="returning only cartesian coordinates instead"
):
coords = orbit.sample(10)
assert isinstance(coords, CartesianRepresentation)
assert len(coords) == 10
def test_hohmann_maneuver():
# Data from Vallado, example 6.1
alt_i = 191.34411 * u.km
alt_f = 35781.34857 * u.km
ss_i = Orbit.circular(Earth, alt_i)
expected_dv = 3.935224 * u.km / u.s
expected_t_trans = 5.256713 * u.h
man = Maneuver.hohmann(ss_i, Earth.R + alt_f)
assert_quantity_allclose(ss_i.apply_maneuver(man).ecc, 0 * u.one, atol=1e-14 * u.one)
assert_quantity_allclose(man.get_total_cost(), expected_dv, rtol=1e-5)
assert_quantity_allclose(man.get_total_time(), expected_t_trans, rtol=1e-5)
def test_bielliptic_maneuver():
# Data from Vallado, example 6.2
alt_i = 191.34411 * u.km
alt_b = 503873.0 * u.km
alt_f = 376310.0 * u.km
ss_i = Orbit.circular(Earth, alt_i)
expected_dv = 3.904057 * u.km / u.s
expected_t_trans = 593.919803 * u.h
man = Maneuver.bielliptic(ss_i, Earth.R + alt_b, Earth.R + alt_f)
assert_allclose(ss_i.apply_maneuver(man).ecc, 0 * u.one, atol=1e-12 * u.one)
assert_quantity_allclose(man.get_total_cost(), expected_dv, rtol=1e-5)
assert_quantity_allclose(man.get_total_time(), expected_t_trans, rtol=1e-6)
def test_hohmann_maneuver():
# Data from Vallado, example 6.1
alt_i = 191.34411 * u.km
alt_f = 35781.34857 * u.km
ss_i = Orbit.circular(Earth, alt_i)
expected_dv = 3.935224 * u.km / u.s
expected_t_trans = 5.256713 * u.h
man = Maneuver.hohmann(ss_i, Earth.R + alt_f)
assert_almost_equal(ss_i.apply_maneuver(man).ecc, 0)
assert_almost_equal(man.get_total_cost().to(u.km / u.s).value,
expected_dv.value,
decimal=5)
assert_almost_equal(man.get_total_time().to(u.h).value,
expected_t_trans.value,
decimal=5)
def test_bielliptic_maneuver():
# Data from Vallado, example 6.2
alt_i = 191.34411 * u.km
alt_b = 503873.0 * u.km
alt_f = 376310.0 * u.km
ss_i = Orbit.circular(Earth, alt_i)
expected_dv = 3.904057 * u.km / u.s
expected_t_trans = 593.919803 * u.h
man = Maneuver.bielliptic(ss_i, Earth.R + alt_b, Earth.R + alt_f)
assert_almost_equal(ss_i.apply_maneuver(man).ecc, 0)
assert_almost_equal(man.get_total_cost().to(u.km / u.s).value,
expected_dv.value,
decimal=5)
assert_almost_equal(man.get_total_time().to(u.h).value,
expected_t_trans.value,
decimal=2)
def test_leo_geo_numerical(inc_0):
f = 3.5e-7 # km / s2
a_0 = 7000.0 # km
a_f = 42166.0 # km
inc_f = 0.0 # rad
k = Earth.k.to(u.km**3 / u.s**2).value
a_d, _, t_f = change_a_inc(k, a_0, a_f, inc_0, inc_f, f)
# Retrieve r and v from initial orbit
s0 = Orbit.circular(Earth, a_0 * u.km - Earth.R, inc_0 * u.rad)
# Propagate orbit
sf = s0.propagate(t_f * u.s, method=cowell, ad=a_d, rtol=1e-6)
assert_allclose(sf.a.to(u.km).value, a_f, rtol=1e-3)
assert_allclose(sf.ecc.value, 0.0, atol=1e-2)
assert_allclose(sf.inc.to(u.rad).value, inc_f, atol=2e-3)
def test_geosync_has_proper_period():
expected_period = 1436 # min
ss = Orbit.circular(Earth, alt=42164 * u.km - Earth.R)
assert_almost_equal(ss.period.to(u.min).value, expected_period, decimal=0)
import numpy as np
import matplotlib.pyplot as plt
plt.ion() # To immediately show plots
from astropy import units as u
from poliastro.bodies import Earth, Mars, Sun
from poliastro.twobody import Orbit
plt.style.use("seaborn") # Recommended
h = 625*u.km
r_circ = Earth.R + h
circ = Orbit.circular(Earth,h)
T_circ = circ.state.period
N = 9
delay = T_circ/N
T_ph = T_circ + delay
a_ph = np.power(T_ph/2/np.pi * np.sqrt(Earth.k),(2/3))
rp=Earth.R + h
ra = 2*a_ph - rp
e_ph = (ra-rp)/(ra+rp)
phasing = Orbit.from_classical(Earth,a_ph,e_ph,0*u.deg,0*u.deg,0*u.deg,0*u.deg)
from poliastro.plotting import OrbitPlotter
op = OrbitPlotter()
op.plot(circ, label="Final circular orbit")
op.plot(phasing, label="Phasing orbit")
B = x * A_over_m #Min kommentar: Skrev in x istället för C_D
# parameters of the atmosphere
rho0 = rho0_earth.to(u.kg / u.km**3).value # kg/km^3
H0 = H0_earth.to(
u.km
).value #Min kommentar: Ändras atmosfärens egenskaper ju högre radien är i det här programmet?
#[<matplotlib.lines.Line2D at 0x7ffb5f511048>]
#Orbital Decay
#If atmospheric drag causes the orbit to fully decay, additional code is needed to stop the integration when the satellite reaches the surface.
#Please note that you will likely want to use a more sophisticated atmosphere model than the one in atmospheric_drag for these sorts of computations.
orbit = Orbit.circular(
Earth, 230 * u.km, epoch=Time(0.0, format="jd", scale="tdb")
) #Min kommentar: Här tror jag att jag kan ändra på värdet hos radien på omloppsbanan
tofs = TimeDelta(
np.linspace(0 * u.h, 100 * u.d, num=200)
) #Min kommentar: Här tror jag deltatiden beskrivs, att den mäter mellan noll timmar till ett max antal dagar, samt att den mäter 2000 gånger.
from poliastro.twobody.events import LithobrakeEvent
lithobrake_event = LithobrakeEvent(R)
events = [lithobrake_event]
rr = propagate(
orbit,
tofs,
method=cowell,
ad=atmospheric_drag_exponential,
R=R,
import plotly.io as pio
pio.renderers.default = "notebook_connected"
R = Earth.R.to(u.km).value
k = Earth.k.to(u.km**3 / u.s**2).value
C_D = 2.2
A_over_m = (((4 * np.pi * 0.0144) / 4.0) * (u.m**2) / (48 * u.kg)).to_value(
u.km**2 / u.kg)
B = C_D * A_over_m
#rho0 = rho0_earth.to(u.kg / u.km ** 3).value
#H0 = H0_earth.to(u.km).value
orbit = Orbit.circular(Earth,
200 * u.km,
epoch=Time(0.0, format="jd", scale="tdb"))
tofs = TimeDelta(np.linspace(0 * u.h, 100000000 * u.d, num=200))
from poliastro.twobody.events import LithobrakeEvent
lithobrake_event = LithobrakeEvent(R)
events = [lithobrake_event]
coesa76 = COESA76()
rr, _ = cowell(
Earth.k,
orbit.r,
orbit.v,
tofs,
# In[2]:
import plotly.io as pio
pio.renderers.default = "notebook_connected"
# ### Atmospheric drag ###
# The poliastro package now has several commonly used natural perturbations. One of them is atmospheric drag! See how one can monitor decay of the near-Earth orbit over time using our new module poliastro.twobody.perturbations!
# In[3]:
R = Earth.R.to(u.km).value
k = Earth.k.to(u.km**3 / u.s**2).value
orbit = Orbit.circular(Earth,
250 * u.km,
epoch=Time(0.0, format="jd", scale="tdb"))
# parameters of a body
C_D = 2.2 # dimentionless (any value would do)
A_over_m = ((np.pi / 4.0) * (u.m**2) / (100 * u.kg)).to_value(u.km**2 /
u.kg) # km^2/kg
B = C_D * A_over_m
# parameters of the atmosphere
rho0 = rho0_earth.to(u.kg / u.km**3).value # kg/km^3
H0 = H0_earth.to(u.km).value
tofs = TimeDelta(np.linspace(0 * u.h, 100000 * u.s, num=2000))
rr = propagate(
def test_circular_has_proper_semimajor_axis():
alt = 500 * u.km
attractor = Earth
expected_a = Earth.R + alt
ss = Orbit.circular(attractor, alt)
assert ss.a == expected_a
def test_orbit_representation():
ss = Orbit.circular(Earth, 600 * u.km, 20 * u.deg)
expected_str = "6978 x 6978 km x 20.0 deg orbit around Earth (\u2641)"
assert str(ss) == repr(ss) == expected_str
def test_geosync_has_proper_period():
expected_period = 1436 * u.min
ss = Orbit.circular(Earth, alt=42164 * u.km - Earth.R)
assert_quantity_allclose(ss.period, expected_period, rtol=1e-4)
def test_circular_has_proper_semimajor_axis():
alt = 500 * u.km
attractor = Earth
expected_a = Earth.R + alt
ss = Orbit.circular(attractor, alt)
assert ss.a == expected_a
iss_f_kep.argp,
rtol=rtol,
atol=1e-08 * u.rad)
assert np.allclose(iss_f_num.nu, iss_f_kep.nu, rtol=rtol, atol=1e-08 * u.rad)
# ## Numerical validation
#
# According to [Edelbaum, 1961], a coplanar, semimajor axis change with tangent thrust is defined by:
#
# $$\frac{\operatorname{d}\!a}{a_0} = 2 \frac{F}{m V_0}\operatorname{d}\!t, \qquad \frac{\Delta{V}}{V_0} = \frac{1}{2} \frac{\Delta{a}}{a_0}$$
#
# So let's create a new circular orbit and perform the necessary checks, assuming constant mass and thrust (i.e. constant acceleration):
# In[18]:
ss = Orbit.circular(Earth, 500 * u.km)
tof = 20 * ss.period
ad = constant_accel_factory(1e-7)
r, v = cowell(ss.attractor.k, ss.r, ss.v, [tof] * u.s, ad=ad)
ss_final = Orbit.from_vectors(Earth, r[0], v[0], ss.epoch + tof)
# In[19]:
da_a0 = (ss_final.a - ss.a) / ss.a
da_a0
# In[20]:
def test_atmospheric_demise():
# Test an orbital decay that hits Earth. No analytic solution.
R = Earth.R.to(u.km).value
orbit = Orbit.circular(Earth, 230 * u.km)
t_decay = 48.2179 * u.d # not an analytic value
# Parameters of a body
C_D = 2.2 # dimentionless (any value would do)
A_over_m = ((np.pi / 4.0) * (u.m**2) / (100 * u.kg)).to_value(
u.km**2 / u.kg) # km^2/kg
# Parameters of the atmosphere
rho0 = rho0_earth.to(u.kg / u.km**3).value # kg/km^3
H0 = H0_earth.to(u.km).value # km
tofs = [365] * u.d # Actually hits the ground a bit after day 48
lithobrake_event = LithobrakeEvent(R)
events = [lithobrake_event]
def f(t0, u_, k):
du_kep = func_twobody(t0, u_, k)
ax, ay, az = atmospheric_drag_exponential(t0,
u_,
k,
R=R,
C_D=C_D,
A_over_m=A_over_m,
H0=H0,
rho0=rho0)
du_ad = np.array([0, 0, 0, ax, ay, az])
return du_kep + du_ad
rr, _ = cowell(
Earth.k,
orbit.r,
orbit.v,
tofs,
events=events,
f=f,
)
assert_quantity_allclose(norm(rr[0].to(u.km).value), R,
atol=1) # Below 1km
assert_quantity_allclose(lithobrake_event.last_t, t_decay, rtol=1e-2)
# Make sure having the event not firing is ok
tofs = [1] * u.d
lithobrake_event = LithobrakeEvent(R)
events = [lithobrake_event]
rr, _ = cowell(
Earth.k,
orbit.r,
orbit.v,
tofs,
events=events,
f=f,
)
assert lithobrake_event.last_t == tofs[-1]
def test_propagation_custom_body_works():
# See https://github.com/poliastro/poliastro/issues/649
orbit = Orbit.circular(Moon, 100 * u.km)
orbit.propagate(1 * u.h)
def start_date_optimal(H, date0, date1, m, Isp, step):
delta_v = 0 * u.km / u.s
v_out = 0 * u.km / u.s
m_prop = 0 * u.kg
date_in = date0
date_out = date0
step_one0 = True
x1 = []
x2 = []
x3 = []
x4 = []
while date0 < date1:
epoch0 = date0.jyear
ss0 = Orbit.circular(Earth, H, epoch=epoch0)
vsE = ss0.rv()[1]
dvEV, date_arrivalV, vsV = transit_opt1.transit_optimal(
date0, transit_minEV, transit_maxEV, Earth, Venus, vsE, step)
dvVJ, date_arrivalJ, vsJ = transit_opt1.transit_optimal(
date_arrivalV, transit_minVJ, transit_maxVJ, Venus, Jupiter, vsV,
step)
dvJU, date_arrivalU, vsU = transit_opt1.transit_optimal(
date_arrivalJ, transit_minJU, transit_maxJU, Jupiter, Uranus, vsJ,
step)
#koszty paliwa:
m_pJU = m * (math.exp((dvJU) / Isp) - 1)
m_pVJ = (m + m_pJU) * (math.exp((dvVJ) / Isp) - 1)
m_pEV = (m + m_pJU + m_pVJ) * (math.exp((dvEV) / Isp) - 1)
dv_total = (dvEV) + (dvVJ) + (dvJU)
m_p = m_pEV + m_pVJ + m_pJU
x1.append(date0.iso[0:10])
x2.append(int((date_arrivalU - date0).jd))
x3.append(float(dv_total / u.km * u.s))
x4.append(int(m_p / u.kg))
print(
date0.iso[0:10], ', %i days, %.3f km/s, %i kg' % (int(
(date_arrivalU - date0).jd), float(
dv_total / u.km * u.s), int(m_p / u.kg)))
if step_one0:
delta_v = dv_total
m_prop = m_p
v_out = vsU
date_out = date_arrivalU
step_one0 = False
else:
if dv_total < delta_v:
delta_v = dv_total
m_prop = m_p
v_out = vsU
date_in = date0
date_out = date_arrivalU
date0 += step * u.day
lista = {'1': x1, '2': x2, '3': x3, '4': x4}
#lista = pd.DataFrame(lista)
return delta_v, v_out, date_in, date_out, m_prop, lista
def test_geosync_has_proper_period():
expected_period = 1436 * u.min
ss = Orbit.circular(Earth, alt=42164 * u.km - Earth.R)
assert_quantity_allclose(ss.period, expected_period, rtol=1e-4)
def test_propagation_custom_body_works():
# See https://github.com/poliastro/poliastro/issues/649
orbit = Orbit.circular(Moon, 100 * u.km)
orbit.propagate(1 * u.h)
def test_orbit_representation():
ss = Orbit.circular(Earth, 600 * u.km, 20 * u.deg, epoch=Time("2018-09-08 09:04:00", scale="tdb"))
expected_str = "6978 x 6978 km x 20.0 deg (GCRS) orbit around Earth (\u2641) at epoch 2018-09-08 09:04:00.000 (TDB)"
assert str(ss) == repr(ss) == expected_str
from poliastro.ephem import build_ephem_interpolant
from poliastro.core.elements import rv2coe
from poliastro.atmosphere import COESA76
from poliastro.constants import rho0_earth, H0_earth
from poliastro.core.perturbations import atmospheric_drag_exponential, atmospheric_drag_model, third_body, J2_perturbation
from poliastro.bodies import Earth, Moon
from poliastro.twobody import Orbit
from poliastro.plotting import OrbitPlotter3D
import plotly.io as pio
pio.renderers.default = "notebook_connected"
from poliastro.twobody.events import LithobrakeEvent
R = Earth.R.to(u.km).value
orbit = Orbit.circular(Earth, 300 * u.km)
t_decay = 7.17 * u.d
# parameters of a body
C_D = 2.2 # dimentionless (any value would do)
#A_over_m = ((np.pi / 4.0) * (u.m ** 2) / (100 * u.kg)).to_value(
#u.km ** 2 / u.kg
#) # km^2/kg
A_over_m = (((4 * np.pi * 0.0144) / 4.0) * (u.m**2) / (48 * u.kg)).to_value(
u.km**2 / u.kg)
tofs = [365] * u.d
lithobrake_event = LithobrakeEvent(R)
events = [lithobrake_event]
