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Succesful MBH runs, with some improvements

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Connor
2021-10-12 21:49:46 -06:00
parent c7913d2944
commit bb78578d9a
19 changed files with 426 additions and 146 deletions
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49
julia/test/inner_loop/nlp_solver.jl
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@@ -46,29 +46,30 @@
store(m, "missions/nlp_2_phase")
# Here is the final, most complicated, trajectory to test
flybys = [Earth, Venus, Earth, Mars, Earth, Jupiter]
launch_window = DateTime(2023,1,1), DateTime(2024,1,1)
latest_arrival = DateTime(2031,1,1)
dates = [DateTime(2023,5,23),
DateTime(2023,10,21),
DateTime(2024,8,24),
DateTime(2025,2,13),
DateTime(2026,11,22),
DateTime(2032,1,1)]
phases = Vector{Phase}()
launch_v∞, _, tof1 = Thesis.lamberts(flybys[1], flybys[2], dates[1], dates[2])
for i in 1:length(dates)-2
v∞_out1, v∞_in1, tof1 = Thesis.lamberts(flybys[i], flybys[i+1], dates[i], dates[i+1])
v∞_out2, v∞_in2, tof2 = Thesis.lamberts(flybys[i+1], flybys[i+2], dates[i+1], dates[i+2])
push!(phases, Phase(flybys[i+1], 1.02v∞_in1, 0.98v∞_out2, 1.02tof1, 0.02*ones(20,3)))
end
v∞_out, v∞_in, tof = Thesis.lamberts(flybys[end-1], flybys[end], dates[end-1], dates[end])
push!(phases, Phase(flybys[end], v∞_in, v∞_in, tof, 0.01*ones(20,3)))
guess = Mission_Guess(bepi, 3_600., dates[1], launch_v∞, phases)
m = solve_mission(guess, launch_window, latest_arrival, verbose=true)
@test typeof(m) == Mission
p = plot(m, title="NLP Test Solution (5 Phases)")
savefig(p,"../plots/nlp_test_5_phase.html")
store(m, "missions/nlp_5_phase")
# Ignoring for now as the initial guess makes the test take too long to converge with mbh settings
# flybys = [Earth, Venus, Earth, Mars, Earth, Jupiter]
# launch_window = DateTime(2023,1,1), DateTime(2024,1,1)
# latest_arrival = DateTime(2031,1,1)
# dates = [DateTime(2023,5,23),
# DateTime(2023,10,21),
# DateTime(2024,8,24),
# DateTime(2025,2,13),
# DateTime(2026,11,22),
# DateTime(2032,1,1)]
# phases = Vector{Phase}()
# launch_v∞, _, tof1 = Thesis.lamberts(flybys[1], flybys[2], dates[1], dates[2])
# for i in 1:length(dates)-2
# v∞_out1, v∞_in1, tof1 = Thesis.lamberts(flybys[i], flybys[i+1], dates[i], dates[i+1])
# v∞_out2, v∞_in2, tof2 = Thesis.lamberts(flybys[i+1], flybys[i+2], dates[i+1], dates[i+2])
# push!(phases, Phase(flybys[i+1], 1.02v∞_in1, 0.98v∞_out2, 1.02tof1, 0.02*ones(20,3)))
# end
# v∞_out, v∞_in, tof = Thesis.lamberts(flybys[end-1], flybys[end], dates[end-1], dates[end])
# push!(phases, Phase(flybys[end], v∞_in, v∞_in, tof, 0.01*ones(20,3)))
# guess = Mission_Guess(bepi, 3_600., dates[1], launch_v∞, phases)
# m = solve_mission(guess, launch_window, latest_arrival, verbose=true)
# @test typeof(m) == Mission
# p = plot(m, title="NLP Test Solution (5 Phases)")
# savefig(p,"../plots/nlp_test_5_phase.html")
# store(m, "missions/nlp_5_phase")
end