9fc4afb611
Port pke_params, pke_th_rhs, pke_linearize, and all five controllers to Julia. sim_sanity.jl reproduces the MATLAB main.m operation-mode scenario (100%->80% Q_sg step) and matches final state to 3 decimals across n, T_f, T_avg, T_cold, u. reach_operation.jl is a stub: ReachabilityAnalysis.jl (LGG09, GLGM06, BFFPSV18) numerically explodes on the raw stiff system — envelopes of 1e14 K to 1e37 K instead of the known-tight 0.03 K. Almost certainly a state-scaling issue: precursors C_i ~ 1e5, temperatures ~ 300, eigvals span 5000x. Diagonal scaling + retry is planned; left for the next pass since the hand-rolled MATLAB reach already discharges the operation-mode obligation. Project.toml pins OrdinaryDiffEq >= 6.111 (the one that precompiled cleanly on first instantiate). Manifest gitignored. Hacker-Split: Julia path open, reach side needs a scaling pass. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
41 lines
1.4 KiB
Julia
41 lines
1.4 KiB
Julia
#!/usr/bin/env julia
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#
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# sim_sanity.jl — verify the Julia port matches the MATLAB result.
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#
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# Reproduces main.m Run 2 (ctrl_operation under 100% -> 80% Q_sg step)
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# and prints the final state, which should agree with MATLAB to ~1e-3.
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using Pkg
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Pkg.activate(joinpath(@__DIR__, ".."))
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using OrdinaryDiffEq
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include(joinpath(@__DIR__, "..", "src", "pke_params.jl"))
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include(joinpath(@__DIR__, "..", "src", "pke_th_rhs.jl"))
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include(joinpath(@__DIR__, "..", "controllers", "controllers.jl"))
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plant = pke_params()
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x0 = pke_initial_conditions(plant)
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Q_sg = t -> plant.P0 * (1.0 - 0.2 * (t >= 30))
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ref = (; T_avg = plant.T_c0)
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function rhs!(dx, x, p, t)
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u = ctrl_operation(t, x, plant, ref)
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pke_th_rhs!(dx, x, t, plant, Q_sg, u)
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end
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prob = ODEProblem(rhs!, x0, (0.0, 600.0))
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sol = solve(prob, Rodas5(); reltol=1e-8, abstol=1e-10)
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xf = sol.u[end]
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CtoF(T) = T * 9/5 + 32
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println("\n=== Julia port sanity — ctrl_operation under 100% -> 80% Q_sg step ===")
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println(" Final t = ", sol.t[end])
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println(" n = $(round(xf[1]; digits=4)) (expect ~0.800)")
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println(" T_f = $(round(CtoF(xf[8]); digits=2)) F (expect ~616.6)")
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println(" T_avg = $(round(CtoF(xf[9]); digits=2)) F (expect ~587.8)")
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println(" T_cold = $(round(CtoF(xf[10]); digits=2)) F (expect ~561.4)")
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u_final = ctrl_operation(sol.t[end], xf, plant, ref)
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println(" u = $(round(u_final/plant.beta; digits=4)) \$ (expect ~-0.0068)")
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