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* update the attribute(min,max,nominal) of know variable like inputs via parameters. * code is based on the comments in the function createStartValueEquations.
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testsuite/openmodelica/cruntime/optimization/basic/issue7969.mos
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| @@ -0,0 +1,69 @@ | ||
| // name: issue7969 | ||
| // status: correct | ||
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| // target: inputs attribute are set via parameters | ||
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| setCommandLineOptions("+gDynOpt"); | ||
| getErrorString(); | ||
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| loadString(" | ||
| model issue7969 | ||
| input Real u(min = u_min, max = u_max, nominal=u_nominal); | ||
| input Real u1(min = -a, nominal=a); | ||
| input Real u2(max = p, min=p, nominal=2*p); | ||
| Real totalCost = (x-20)^2 annotation(isMayer = true); | ||
| parameter Real p = 10; | ||
| parameter Real u_min = -11; | ||
| parameter Real u_max = 12; | ||
| parameter Real u_nominal = 10; | ||
| parameter Real n = 10*p; | ||
| parameter Real a = 11; | ||
| Real x(start=1, fixed=true); | ||
| equation | ||
| der(x) = 1e-3*u - 1e-4*u1 + 1e-5*u2; | ||
| end issue7969; | ||
| "); | ||
| getErrorString(); | ||
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| optimize(issue7969, numberOfIntervals=4, tolerance = 1e-8, stopTime = 2); | ||
| getErrorString(); | ||
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| val(u, {0.5,2}); | ||
| val(u1, {0.5,2}); | ||
| val(u2, {0.5,2}); | ||
| val(x, {0.5,2}); | ||
| // Result: | ||
| // true | ||
| // "" | ||
| // true | ||
| // "" | ||
| // record SimulationResult | ||
| // resultFile = "issue7969_res.mat", | ||
| // simulationOptions = "startTime = 0.0, stopTime = 2.0, numberOfIntervals = 4, tolerance = 1e-08, method = 'optimization', fileNamePrefix = 'issue7969', options = '', outputFormat = 'mat', variableFilter = '.*', cflags = '', simflags = ''", | ||
| // messages = "LOG_SUCCESS | info | The initialization finished successfully without homotopy method. | ||
| // | ||
| // Optimizer Variables | ||
| // ======================================================== | ||
| // State[0]:x(start = 1, nominal = 2, min = -Inf, max = +Inf, init = 1) | ||
| // Input[1]:u(start = 0, nominal = 10, min = -11, max = 12) | ||
| // Input[2]:u1(start = 0, nominal = 11, min = -11, max = +Inf) | ||
| // Input[3]:u2(start = 10, nominal = 20, min = 10, max = 10) | ||
| // -------------------------------------------------------- | ||
| // number of nonlinear constraints: 0 | ||
| // ======================================================== | ||
| // | ||
| // ****************************************************************************** | ||
| // This program contains Ipopt, a library for large-scale nonlinear optimization. | ||
| // Ipopt is released as open source code under the Eclipse Public License (EPL). | ||
| // For more information visit https://github.com/coin-or/Ipopt | ||
| // ****************************************************************************** | ||
| // | ||
| // LOG_SUCCESS | info | The simulation finished successfully. | ||
| // " | ||
| // end SimulationResult; | ||
| // "" | ||
| // {12.0,12.0} | ||
| // {-11.0,-11.0} | ||
| // {10.0,10.0} | ||
| // {1.006600000063919,1.026400000255677} | ||
| // endResult |