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Made the switch to SNOW. Working well

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Connor
2021-09-26 01:38:35 -06:00
parent 26ddb43a5d
commit 4061aaaaa3
9 changed files with 260 additions and 33 deletions
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3
julia/test/inner_loop/monotonic_basin_hopping.jl
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@@ -37,9 +37,10 @@
earth_state = [spkssb(Earth.id, time_leave, "ECLIPJ2000"); 0.0]
venus_state = [spkssb(Venus.id, time_arrive, "ECLIPJ2000"); 0.0]
v∞_out, v∞_in, tof = Thesis.lamberts(Earth, Venus, leave, arrive)
phase = Phase(Venus, 1.0001v∞_in, 0.2, tof, 0.0*ones(20,3))
phase = Phase(Venus, 1.01v∞_in, 0.2, tof, 0.01*ones(20,3))
mission_guess = Mission_Guess(bepi, 12_000., leave, v∞_out, [phase])
mission = Thesis.inner_loop_solve(mission_guess)
@test mission.converged
if !mission.converged println(mission.message) end
end

22
julia/test/inner_loop/phase.jl
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@@ -2,7 +2,7 @@
println("Testing NLP solver")
using NLsolve, PlotlyJS
using SNOW, PlotlyJS
# First we'll test an Earth case
# Initial Setup
@@ -19,12 +19,14 @@
# This should be close enough to converge, but Earth orbits are picky
thrust_guess = spiral(0.89, n, start, test_sc, revs*T, Earth)
result = solve_phase(start, final, test_sc, revs*T, thrust_guess, Earth)
calc_path, calc_final = prop(result.zero, start, test_sc, revs*T, Earth, interpolate=true)
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 converged(result)
@test norm(calc_final[1:6] - final[1:6]) < 1e-5
@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()
@@ -51,12 +53,14 @@
# This should be close enough to converge
thrust_guess = spiral(0.55, n, start, bepi, tof)
result = solve_phase(start, final, bepi, tof, thrust_guess)
calc_path, calc_final = prop(result.zero, start, bepi, tof, interpolate=true)
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 converged(result)
@test norm(calc_final[1:6] - final[1:6]) < 1e-5
@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()

8
julia/test/runtests.jl
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@@ -13,9 +13,9 @@ catch
end
@testset "All Tests" begin
# include("plotting.jl")
# include("inner_loop/laguerre-conway.jl")
# include("inner_loop/propagator.jl")
# include("inner_loop/phase.jl")
include("plotting.jl")
include("inner_loop/laguerre-conway.jl")
include("inner_loop/propagator.jl")
include("inner_loop/phase.jl")
include("inner_loop/monotonic_basin_hopping.jl")
end