Article | Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany | Integration of CasADi and JModelica.org Linköping University Electronic Press Conference Proceedings
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Title:
Integration of CasADi and JModelica.org
Author:
Joel Andersson: Department of Electrical Engineering and Optimization in Engineering Center (OPTEC), K.U. Leuven, Belgium Johan Åkesson: Department of Automatic Control, Lund University, Sweden \ Modelon AB, Sweden Francesco Casellad: Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy Moritz Diehl: Department of Electrical Engineering and Optimization in Engineering Center (OPTEC), K.U. Leuven, Belgium
DOI:
10.3384/ecp11063218
Download:
Full text (pdf)
Year:
2011
Conference:
Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany
Issue:
063
Article no.:
025
Pages:
218-231
No. of pages:
14
Publication type:
Abstract and Fulltext
Published:
2011-06-30
ISBN:
978-91-7393-096-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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This paper presents the integration of two open source softwares: CasADi; which is a framework for efficient evaluation of expressions and their derivatives; and the Modelica-based platform JModelica.org. The integration of the tools is based on an XML format for exchange of DAE models. The JModelica.org platform supports export of models in this XML format; wheras CasADi supports import of models expressed in this format. Furthermore; we have carried out comparisons with ACADO; which is a multiple shooting package for solving optimal control problems.

CasADi; in turn; has been interfaced with ACADO Toolkit; enabling users to define optimal control problems using Modelica and Optimica specifications; and use solve using direct multiple shooting. In addition; a collocation algorithm targeted at solving largescale DAE constrained dynamic optimization problems has been implemented. This implementation explores CasADi’s Python and IPOPT interfaces; which offer a convenient; yet highly efficient environment for development of optimization algorithms. The algorithms are evaluated using industrially relevant benchmark problems.

Keywords: Dynamic optimization; Symbolic manipulation; Modelica; JModelica.org; ACADO Toolkit; CasADi

Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Author:
Joel Andersson, Johan Åkesson, Francesco Casellad, Moritz Diehl
Title:
Integration of CasADi and JModelica.org
DOI:
http://dx.doi.org/10.3384/ecp11063218
References:

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Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Author:
Joel Andersson, Johan Åkesson, Francesco Casellad, Moritz Diehl
Title:
Integration of CasADi and JModelica.org
DOI:
https://doi.org10.3384/ecp11063218
Note: the following are taken directly from CrossRef
Citations:
  • Daniel P. Word, Jia Kang, Johan Akesso & Carl D. Laird (2014). Efficient parallel solution of large-scale nonlinear dynamic optimization problems. Computational Optimization and Applications, 59(3): 667. DOI: 10.1007/s10589-014-9651-2
  • Atiyah Elsheikh (2015). An equation-based algorithmic differentiation technique for differential algebraic equations. Journal of Computational and Applied Mathematics, 281: 135. DOI: 10.1016/j.cam.2014.12.026
  • Atiyah Elsheikh (2014). Derivative-based hybrid heuristics for continuous-time simulation optimization. Simulation Modelling Practice and Theory, 46: 164. DOI: 10.1016/j.simpat.2013.11.011
  • Alachew Shitahun, Vitalij Ruge, Mahder Gebremedhin, Bernhard Bachmann, Lars Eriksson, Joel Andersson, Moritz Dieh & Peter Fritzson (2013). Model-Based Dynamic Optimization with OpenModelica and CasADi. IFAC Proceedings Volumes, 46(21): 446. DOI: 10.3182/20130904-4-JP-2042.00166


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