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The following example fails:
# Example two: Falling mass, attached to non-linear spring without compression stiffness, # initially moving upwards with 4 m/s, using a callback to precisely calculate the discontinuities using ModelingToolkit, OrdinaryDiffEq, LinearAlgebra G_EARTH = Float64[0.0, 0.0, -9.81] # gravitational acceleration [m/s²] L0::Float64 = -10.0 # initial spring length [m] V0::Float64 = 4 # initial velocity [m/s] # model, Z component upwards @parameters mass=1.0 c_spring0=50.0 damping=0.5 l0=L0 @variables t pos(t)[1:3] = [0.0, 0.0, L0] @variables vel(t)[1:3] = [0.0, 0.0, V0] @variables acc(t)[1:3] = G_EARTH @variables unit_vector(t)[1:3] = [0.0, 0.0, -sign(L0)] @variables c_spring(t) = c_spring0 @variables spring_force(t)[1:3] = [0.0, 0.0, 0.0] @variables force(t) = 0.0 norm1(t) = abs(l0) spring_vel(t) = 0.0 D = Differential(t) eqs = vcat(D.(pos) ~ vel, D.(vel) ~ acc, norm1 ~ norm(pos), unit_vector ~ -pos/norm1, # direction from point mass to origin spring_vel ~ -unit_vector ⋅ vel, c_spring ~ c_spring0 * (norm1 > abs(l0)), spring_force ~ (c_spring * (norm1 - abs(l0)) + damping * spring_vel) * unit_vector, acc ~ G_EARTH + spring_force/mass) @named sys = ODESystem(eqs, t; continuous_events = [norm(pos) ~ abs(L0)]) simple_sys = structural_simplify(sys) duration = 10.0 dt = 0.02 tol = 1e-6 tspan = (0.0, duration) ts = 0:dt:duration # initial state u0 = Dict(pos=>[0,0,L0], vel=>[0,0,V0]) prob = ODEProblem(simple_sys, u0, tspan) sol = solve(prob, Rodas5(), dt=dt, abstol=tol, reltol=tol, saveat=ts) nothing
with the error message:
ERROR: LoadError: UndefVarError: `pos` not defined Stacktrace: [1] macro expansion @ ~/.julia/packages/SymbolicUtils/ssQsQ/src/code.jl:418 [inlined] [2] macro expansion @ ~/.julia/packages/Symbolics/5BibL/src/build_function.jl:537 [inlined] [3] macro expansion @ ~/.julia/packages/SymbolicUtils/ssQsQ/src/code.jl:375 [inlined] [4] macro expansion @ ~/.julia/packages/RuntimeGeneratedFunctions/Yo8zx/src/RuntimeGeneratedFunctions.jl:163 [inlined] [5] macro expansion @ ./none:0 [inlined] [6] generated_callfunc(f::RuntimeGeneratedFunctions.RuntimeGeneratedFunction{…}, __args::Vararg{…}) where {…} @ ModelingToolkit ./none:0 [inlined] [7] (::RuntimeGeneratedFunctions.RuntimeGeneratedFunction{…})(::Vector{…}, ::Vector{…}, ::Vector{…}, ::Float64) @ RuntimeGeneratedFunctions ~/.julia/packages/RuntimeGeneratedFunctions/Yo8zx/src/RuntimeGeneratedFunctions.jl:150 [8] #346 @ ~/.julia/packages/ModelingToolkit/dCa81/src/systems/callbacks.jl:403 [inlined] [9] determine_event_occurance @ ~/.julia/packages/DiffEqBase/a6p43/src/callbacks.jl:290 [inlined] [10] find_callback_time(integrator::OrdinaryDiffEq.ODEIntegrator{…}, callback::ContinuousCallback{…}, counter::Int64) @ DiffEqBase ~/.julia/packages/DiffEqBase/a6p43/src/callbacks.jl:397 [11] macro expansion @ ~/.julia/packages/DiffEqBase/a6p43/src/callbacks.jl:131 [inlined] [12] find_first_continuous_callback @ ~/.julia/packages/DiffEqBase/a6p43/src/callbacks.jl:126 [inlined] [13] find_first_continuous_callback @ ~/.julia/packages/DiffEqBase/a6p43/src/callbacks.jl:124 [inlined] [14] handle_callbacks! @ ~/.julia/packages/OrdinaryDiffEq/6qpRx/src/integrators/integrator_utils.jl:324 [inlined] [15] _loopfooter!(integrator::OrdinaryDiffEq.ODEIntegrator{…}) @ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/6qpRx/src/integrators/integrator_utils.jl:247 [16] loopfooter! @ ~/.julia/packages/OrdinaryDiffEq/6qpRx/src/integrators/integrator_utils.jl:200 [inlined] [17] solve!(integrator::OrdinaryDiffEq.ODEIntegrator{…}) @ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/6qpRx/src/solve.jl:540 [18] __solve(::ODEProblem{…}, ::Rodas5{…}; kwargs::@Kwargs{…}) @ OrdinaryDiffEq ~/.julia/packages/OrdinaryDiffEq/6qpRx/src/solve.jl:6 [19] __solve @ ~/.julia/packages/OrdinaryDiffEq/6qpRx/src/solve.jl:1 [inlined] [20] solve_call(_prob::ODEProblem{…}, args::Rodas5{…}; merge_callbacks::Bool, kwargshandle::Nothing, kwargs::@Kwargs{…}) @ DiffEqBase ~/.julia/packages/DiffEqBase/a6p43/src/solve.jl:561 [21] solve_call @ DiffEqBase ~/.julia/packages/DiffEqBase/a6p43/src/solve.jl:527 [inlined] [22] #solve_up#42 @ DiffEqBase ~/.julia/packages/DiffEqBase/a6p43/src/solve.jl:1010 [inlined] [23] solve_up @ DiffEqBase ~/.julia/packages/DiffEqBase/a6p43/src/solve.jl:996 [inlined] [24] #solve#40 @ DiffEqBase ~/.julia/packages/DiffEqBase/a6p43/src/solve.jl:933 [inlined] [25] top-level scope @ ~/repos/Tethers.jl/mwes/mwe02.jl:50 [26] include(fname::String) @ Base.MainInclude ./client.jl:489 [27] top-level scope @ REPL[1]:1 in expression starting at /home/ufechner/repos/Tethers.jl/mwes/mwe02.jl:50 Some type information was truncated. Use `show(err)` to see complete types.
even though pos(t) is defined as variable.
**Environment (please complete the following information):** - Output of `using Pkg; Pkg.status()` ```julia Project Tethers v0.1.0 Status `~/repos/Tethers.jl/Project.toml` [992eb4ea] CondaPkg v0.2.22 [16fef848] LiveServer v1.2.7 [961ee093] ModelingToolkit v8.73.2 [1dea7af3] OrdinaryDiffEq v6.62.0 [9b87118b] PackageCompiler v2.1.15 [438e738f] PyCall v1.96.3 [d330b81b] PyPlot v2.11.2 [21f18d07] Timers v0.1.5 [44cfe95a] Pkg v1.10.0
using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
Project Tethers v0.1.0 Status `~/repos/Tethers.jl/Manifest.toml` [47edcb42] ADTypes v0.2.5 ⌅ [c3fe647b] AbstractAlgebra v0.33.0 [1520ce14] AbstractTrees v0.4.4 [7d9f7c33] Accessors v0.1.33 [79e6a3ab] Adapt v3.7.2 [ec485272] ArnoldiMethod v0.2.0 [4fba245c] ArrayInterface v7.6.1 [4c555306] ArrayLayouts v1.4.4 [e2ed5e7c] Bijections v0.1.6 [d1d4a3ce] BitFlags v0.1.8 [62783981] BitTwiddlingConvenienceFunctions v0.1.5 [2a0fbf3d] CPUSummary v0.2.4 [00ebfdb7] CSTParser v3.3.6 [49dc2e85] Calculus v0.5.1 [d360d2e6] ChainRulesCore v1.18.0 [fb6a15b2] CloseOpenIntervals v0.1.12 [944b1d66] CodecZlib v0.7.3 [3da002f7] ColorTypes v0.11.4 [5ae59095] Colors v0.12.10 [861a8166] Combinatorics v1.0.2 [a80b9123] CommonMark v0.8.12 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.0 [34da2185] Compat v4.10.1 [b152e2b5] CompositeTypes v0.1.3 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [f0e56b4a] ConcurrentUtilities v2.3.0 [8f4d0f93] Conda v1.10.0 [992eb4ea] CondaPkg 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SparseArrays v1.10.0 [10745b16] Statistics v1.10.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test [cf7118a7] UUIDs [4ec0a83e] Unicode [e66e0078] CompilerSupportLibraries_jll v1.0.5+1 [deac9b47] LibCURL_jll v8.4.0+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.2+1 [14a3606d] MozillaCACerts_jll v2023.1.10 [4536629a] OpenBLAS_jll v0.3.23+2 [05823500] OpenLibm_jll v0.8.1+2 [bea87d4a] SuiteSparse_jll v7.2.1+1 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.8.0+1 [8e850ede] nghttp2_jll v1.52.0+1 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`
versioninfo()
Julia Version 1.10.0-rc2 Commit dbb9c46795b (2023-12-03 15:25 UTC) Build Info: Official https://julialang.org/ release Platform Info: OS: Linux (x86_64-linux-gnu) CPU: 16 × AMD Ryzen 7 7840U w/ Radeon 780M Graphics WORD_SIZE: 64 LIBM: libopenlibm LLVM: libLLVM-15.0.7 (ORCJIT, znver3) Threads: 12 on 16 virtual cores
See also: https://github.com/ufechner7/Tethers.jl This script https://github.com/ufechner7/Tethers.jl/blob/main/src/Tether_03b.jl works fine. Here I am using the lower level continues_events from DifferentialEquations.
The text was updated successfully, but these errors were encountered:
If I use this line instead:
@named sys = ODESystem(eqs, t; continuous_events = [norm([pos[1],pos[2],pos[3]]) ~ abs(L0)])
it works, so it is really a problem related to using a symbolic vector variable.
Sorry, something went wrong.
Thanks for the MWE. Indeed it seems to be an issue with symbolic vectors.
Successfully merging a pull request may close this issue.
The following example fails:
with the error message:
even though pos(t) is defined as variable.
using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
versioninfo()
See also: https://github.com/ufechner7/Tethers.jl
This script https://github.com/ufechner7/Tethers.jl/blob/main/src/Tether_03b.jl works fine. Here I am using the lower level continues_events from DifferentialEquations.
The text was updated successfully, but these errors were encountered: