Got MBH working! It can find better-than-basic-spiral trajectories

This commit is contained in:
Connor
2021-09-02 17:21:40 -06:00
parent 58ad3c5293
commit 83886188db
8 changed files with 318 additions and 381 deletions

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@@ -1,6 +1,6 @@
@testset "Find Closest" begin
using JuMP
using NLsolve, PlotlyJS
# Initial Setup
sc = Sc("test")
@@ -9,10 +9,11 @@
i = rand(0.01:0.01:π/6)
T = 2π*(a^3/μs["Earth"])
prop_time = 2T
n = 30
n = 20
# A simple orbit raising
start = oe_to_xyz([ a, e, i, 0., 0., 0. ], μs["Earth"])
# T_craft = hcat(repeat([0.6], n), repeat([0.], n), repeat([0.], n))
Tx, Ty, Tz = conv_T(repeat([0.6], n), repeat([0.], n), repeat([0.], n),
start,
sc.mass,
@@ -23,35 +24,26 @@
new_T = 2π*(xyz_to_oe(final, μs["Earth"])[1]^3/μs["Earth"])
# This should be close enough to 0.6
Tx, Ty, Tz = conv_T(repeat([0.6], n), repeat([0.], n), repeat([0.], n),
Tx, Ty, Tz = conv_T(repeat([0.59], n), repeat([0.01], n), repeat([0.], n),
start,
sc.mass,
sc,
prop_time,
μs["Earth"])
result, solution = nlp_solve(start,
final,
sc,
μs["Earth"],
0.0,
prop_time,
Tx,
Ty,
Tz)
# solver_options=("max_cpu_time" => 30.))
result = nlp_solve(start, final, sc, μs["Earth"], 0.0, prop_time, hcat(Tx, Ty, Tz))
# Test and plot
@test JuMP.termination_status(result) == MOI.OPTIMAL
@test converged(result)
path1 = prop(zeros((100,3)), start, sc, μs["Earth"], T)[1]
path2, mass, calc_final = prop(treat_inputs(JuMP.value.(solution)), start, sc, μs["Earth"], prop_time)
path2, mass, calc_final = prop(tanh.(result.zero), start, sc, μs["Earth"], prop_time)
path3 = prop(zeros((100,3)), calc_final, 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=["initial", "transit", "after transit", "final"],
colors=["#FFFFFF","#FF4444","#44FF44","#4444FF"]),
"../plots/find_closest_test.html")
# if termination_status(result) == :OPTIMAL
# @test norm(calc_final - final) < 1e-4
# end
if converged(result)
@test norm(calc_final - final) < 1e-4
end
end