Article | Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany | Productivity improvement tool for configuration of Modelica plant models and integration with Simulink controller models Linköping University Electronic Press Conference Proceedings
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Title:
Productivity improvement tool for configuration of Modelica plant models and integration with Simulink controller models
Author:
Emerson Jacob Jeganathan: LMS Emmeskay Solutions Private Limited, India Anand Pitchaikani: LMS Emmeskay Solutions Private Limited, India Elavarasan Dharumaseelan: LMS Emmeskay Solutions Private Limited, India
DOI:
10.3384/ecp11063865
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.:
099
Pages:
865-871
No. of pages:
7
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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Engineers practicing model based system design in an automotive sub-system supplier often use Modelica for modeling physical plant models and MATLAB/Simulink® for modeling the controller. Model-in-loop (MIL) simulations are performed using the S-function generated from the chosen Modelica plant model; integrated with the appropriate controller model and then simulated in Simulink. These steps are carried out by the engineer manually for the many different plant-controller configurations available in the organization. This repetitive workflow provides significant opportunities to streamline and automate the model based development process and improve productivity.

This paper presents an in-house MATLAB® GUI tool that can be used to configure the plant; select the controller; automatically generate an integrated model with the plant and controller; and simulate the resulting model. The plant model configuration information is passed on to Dymola® (the simulation environment) using the available communication (COM or DDE) to generate the plant model S-function. This tool includes post processing capabilities such as plotting the simulation results and custom plotting of metrics that are generated postsimulation.

Keywords: Automation; MIL; model configuration; simulation management

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

Author:
Emerson Jacob Jeganathan, Anand Pitchaikani, Elavarasan Dharumaseelan
Title:
Productivity improvement tool for configuration of Modelica plant models and integration with Simulink controller models
DOI:
http://dx.doi.org/10.3384/ecp11063865
References:

[1] Anand Pitchaikani et al; Real-time Drive Cycle Simulation of Automotive Climate Control System; pp. 839-846; Proceedings of the 7th International Modelica Conference; Como; Italy; 20-22 September 2009

[2] S.E. Pohl and J. Ungethüm; A Simulation Management Environment for Dymola; pp. 173-176; Proceedings of the 4th International Modelica Conference; Hamburg; 7-8 March; 2005.

[3] C. Schlegel; R. Finsterwalder; H. Olsson; Using Dymola generated C-Code in specialized Client/Server Simulation Environments; Not published; Proceedings of the 4th International Modelica Conference; Hamburg; March 7-8; 2005.

[4] M. Tiller; "Introduction to Physical Modeling with Modelica"; Kluwer Academic Publishers; ISBN 0-7923-7367-7.

[5] Dymola. Dynamic Modeling Laboratory; Dynasim AB; Lund; Sweden; http://www.Dynasim.se.

[6] Mathworks; http://www.mathworks.com.

[7] Modelica; http://www.modelica.org.

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

Author:
Emerson Jacob Jeganathan, Anand Pitchaikani, Elavarasan Dharumaseelan
Title:
Productivity improvement tool for configuration of Modelica plant models and integration with Simulink controller models
DOI:
https://doi.org10.3384/ecp11063865
Note: the following are taken directly from CrossRef
Citations:
  • A.W.M. (Jos) van Schijndel (2014). A review of the application of SimuLink S-functions to multi domain modelling and building simulation. Journal of Building Performance Simulation, 7(3): 165. DOI: 10.1080/19401493.2013.804122


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