74 lines
2.6 KiB
Julia
74 lines
2.6 KiB
Julia
@testset "Monotonic Basin Hopping" begin
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using PlotlyJS, NLsolve
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println("Testing Monotonic Basin Hopper")
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# Initial Setup
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sc = Sc("test")
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a = rand(15000:1.:40000)
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e = rand(0.01:0.01:0.5)
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i = rand(0.01:0.01:π/6)
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T = 2π*√(a^3/μs["Earth"])
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prop_time = 0.75T
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n = 10
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# A simple orbit raising
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start = oe_to_xyz([ a, e, i, 0., 0., 0. ], μs["Earth"])
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# T_craft = hcat(repeat([0.6], n), repeat([0.], n), repeat([0.], n))
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Tx, Ty, Tz = conv_T(repeat([0.8], n), repeat([0.], n), repeat([0.], n),
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start,
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sc.mass,
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sc,
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prop_time,
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μs["Earth"])
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nominal_path, normal_mass, final = prop(hcat(Tx, Ty, Tz), start, sc, μs["Earth"], prop_time)
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new_T = 2π*√(xyz_to_oe(final, μs["Earth"])[1]^3/μs["Earth"])
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# Find the best solution
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best, archive = mbh(start,
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final,
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sc,
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μs["Earth"],
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0.0,
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prop_time,
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n,
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num_iters=5,
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search_patience_lim=50,
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drill_patience_lim=100,
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verbose=true)
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# Test and plot
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@test converged(best)
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transit, best_masses, calc_final = prop(tanh.(best.zero), start, sc, μs["Earth"], prop_time)
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initial_path = prop(zeros((100,3)), start, sc, μs["Earth"], T)[1]
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after_transit = prop(zeros((100,3)), calc_final, sc, μs["Earth"], new_T)[1]
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final_path = prop(zeros((100,3)), final, sc, μs["Earth"], new_T)[1]
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savefig(plot_orbits([initial_path, nominal_path, final_path],
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labels=["initial", "nominal transit", "final"],
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colors=["#FF4444","#44FF44","#4444FF"]),
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"../plots/mbh_nominal.html")
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savefig(plot_orbits([initial_path, transit, after_transit, final_path],
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labels=["initial", "transit", "after transit", "final"],
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colors=["#FFFFFF", "#FF4444","#44FF44","#4444FF"]),
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"../plots/mbh_best.html")
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i = 0
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best_mass = best_masses[end]
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nominal_mass = normal_mass[end]
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masses = []
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for candidate in archive
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@test converged(candidate)
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path2, cand_ms, calc_final = prop(tanh.(candidate.zero), start, sc, μs["Earth"], prop_time)
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push!(masses, cand_ms[end])
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@test norm(calc_final - final) < 1e-4
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end
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@test best_mass == maximum(masses)
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# This won't always work since the test is reduced in fidelity,
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# but hopefully will usually work:
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@test (sc.mass - best_mass) < 1.1 * (sc.mass - nominal_mass)
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@show best_mass
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@show nominal_mass
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end
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