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thesis/julia/test/inner_loop/phase.jl
2021-09-26 01:38:35 -06:00

75 lines
2.4 KiB
Julia

@testset "Phase" begin
println("Testing NLP solver")
using SNOW, PlotlyJS
# First we'll test an Earth case
# Initial Setup
T = rand( 8hour : second : day )
revs = 8
n = 10 * revs
start_mass = 10_000.
# A simple orbit raising
start = gen_orbit(T, start_mass, Earth)
thrust = spiral(0.9, n, start, test_sc, revs*T, Earth)
final = prop(thrust, start, test_sc, revs*T, Earth)[2]
new_T = 2π * ( xyz_to_oe(final, Earth.μ)[1]^3 / Earth.μ )
# This should be close enough to converge, but Earth orbits are picky
thrust_guess = spiral(0.89, n, start, test_sc, revs*T, Earth)
guess_final = prop(thrust_guess, start, test_sc, revs*T, Earth)[2]
result = solve_phase(start, final, test_sc, revs*T, thrust_guess, Earth, verbose=true)
calc_path, calc_final = prop(result.sol, start, test_sc, revs*T, Earth, interpolate=true)
# Test
@test norm(guess_final[1:6] - final[1:6]) > 1e-4
@test result.converged
@test norm(calc_final[1:6] - final[1:6]) < 1e-4
# Plot
paths = Pathlist()
push!(paths, prop(start, T, Earth),
calc_path,
prop(calc_final, T, Earth),
prop(final, T, Earth) )
fig = plot_orbits(paths, Earth,
labels=["init", "transit", "post-transit", "final"],
colors=["#FFF","#F44","#4F4","#44F"])
savefig(fig, "../plots/nlp_test_earth.html")
# Now the sun case
T = rand( 0.5year : hour : 1.5year )
tof = 0.7T
n = 20
start_mass = 12_000.
# A simple orbit raising again, to keep things simple
start = gen_orbit(T, start_mass)
thrust = spiral(0.6, n, start, bepi, tof)
final = prop(thrust, start, bepi, tof)[2]
new_T = 2π * ( xyz_to_oe(final, Sun.μ)[1]^3 / Sun.μ )
# This should be close enough to converge
thrust_guess = spiral(0.55, n, start, bepi, tof)
guess_final = prop(thrust_guess, start, bepi, tof)[2]
result = solve_phase(start, final, bepi, tof, thrust_guess, verbose=true)
calc_path, calc_final = prop(result.sol, start, bepi, tof, interpolate=true)
# Test
@test norm(guess_final[1:6] - final[1:6]) > 1e-4
@test result.converged
@test norm(calc_final[1:6] - final[1:6]) < 1e-4
# Plot
paths = Pathlist()
push!(paths, prop(start, T), calc_path, prop(calc_final, T), prop(final, T) )
fig = plot_orbits(paths,
labels=["init", "transit", "post-transit", "final"],
colors=["#FFF","#F44","#4F4","#44F"])
savefig(fig, "../plots/nlp_test_sun.html")
end