simpleStiffFMU.mos

// name:     simpleStiffFMU_dynamic
// keywords: fmu export simulation flags
// status: correct
// teardown_command: rm -rf
//
// Export simple stiff model as 2.0 CS FMU with CVODE solver
// For explicit Euler with step size bigger than 0.5 this will explode

// Generate FMU
loadString("
model stiffProblem
  Real x(start=x0, fixed=true);
  Real solution;
  parameter Real x0 = 1;
equation
  der(x)=-4*(x-2);
  solution = 2-exp(-4*time);
end stiffProblem;
"); getErrorString();
setCommandLineOptions("-d=newInst --fmiFlags=s:cvode"); getErrorString();
translateModelFMU(stiffProblem, version = "2.0", fmuType="me_cs"); getErrorString();

// Check _flags.json for simulation flags
system("unzip -cqq stiffProblem.fmu resources/stiffProblem_flags.json > stiffProblem_flags_dynamic.json"); getErrorString();
readFile("stiffProblem_flags_dynamic.json"); getErrorString();

// Simulate with OMSimulator
system(getInstallationDirectoryPath() + "/bin/OMSimulator stiffProblem.fmu --mode=cs --tolerance=1e-6 --stopTime=250.0 --resultFile=\"stiffProblem_Dynamic_res.mat\" --suppressPath=true --tempDir=\"stiffProblem-dynamic-tmp\"", "stiffProblem_cs_systemCall.log"); getErrorString();
readFile("stiffProblem_cs_systemCall.log"); getErrorString();

// Check results
val(x, 0.0, "stiffProblem_Dynamic_res.mat"); getErrorString();
val(solution, 0.0, "stiffProblem_Dynamic_res.mat"); getErrorString();
val(x, 250.0, "stiffProblem_Dynamic_res.mat"); getErrorString();
val(solution, 250.0, "stiffProblem_Dynamic_res.mat"); getErrorString();


// Result:
// true
// ""
// true
// ""
// "stiffProblem.fmu"
// ""
// 0
// ""
// "{
//   \"s\" : \"cvode\",
//   \"nls\" : \"homotopy\"
// }"
// ""
// 0
// ""
// "LOG_SOLVER        | info    | CVODE linear multistep method CV_BDF
// LOG_SOLVER        | info    | CVODE maximum integration order CV_NEWTON
// LOG_SOLVER        | info    | CVODE use equidistant time grid YES
// LOG_SOLVER        | info    | CVODE Using relative error tolreance 1.000000e-06
// LOG_SOLVER        | info    | CVODE uses internal dense numeric jacobian method
// LOG_SOLVER        | info    | CVODE uses internal root finding method YES
// LOG_SOLVER        | info    | CVODE maximum absolut step size 0
// LOG_SOLVER        | info    | CVODE initial step size is set automatically
// LOG_SOLVER        | info    | CVODE maximum integration order 5
// LOG_SOLVER        | info    | CVODE maximum number of nonlinear convergence failures permitted during one step 10
// LOG_SOLVER        | info    | CVODE BDF stability limit detection algorithm OFF
// info:    Result file: stiffProblem_Dynamic_res.mat (bufferSize=1)
// "
// ""
// 1.0
// ""
// 1.0
// ""
// 2.0
// ""
// 2.0
// ""
// endResult