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thesis/julia/test/find_closest.jl
2021-08-25 16:26:32 -06:00

40 lines
1.3 KiB
Julia

@testset "Find Closest" begin
using NLsolve
using Thesis: treat_inputs
# Initial Setup
sc = Sc("test")
a = rand(15000:1.:40000)
e = rand(0.01:0.01:0.5)
i = rand(0.01:0.01:π/6)
T = 2π*(a^3/μs["Earth"])
prop_time = 2T
n = 50
# A simple orbit raising
start = oe_to_xyz([ a, e, i, 0., 0., 0. ], μs["Earth"])
ΔVs = repeat([0.6, 0., 0.]', outer=(n,1))
final = prop(ΔVs, start, sc, μs["Earth"], prop_time)[1][end,:]
new_T = 2π*(xyz_to_oe(final, μs["Earth"])[1]^3/μs["Earth"])
# This should be close enough to 0.6
x0 = repeat([0.59, 0., 0.], n)
result = Thesis.single_shoot(start, final, sc, μs["Earth"], 0.0, prop_time, x0)
# Test and plot
@test converged(result)
path1 = prop(zeros((100,3)), start, sc, μs["Earth"], T)[1]
path2, mass = prop(treat_inputs(result.zero), start, sc, μs["Earth"], prop_time)
path3 = prop(zeros((100,3)), path2[end,:], sc, μs["Earth"], new_T)[1]
path4 = prop(zeros((100,3)), final, sc, μs["Earth"], new_T)[1]
savefig(plot_orbits([path1, path2, path3, path4],
labels=["inital", "transit", "after transit", "final"],
colors=["#FFFFFF","#FF4444","#44FF44","#4444FF"]),
"../plots/find_closest_test.html")
if converged(result)
@test norm(path2[end,:] - final) < 1e-6
end
end