A Modelica Library for Industrial Control Systems

Marco Bonvini; Alberto Leva

Title:

Author:

Marco Bonvini: Politecnico di Milano, Dipartimento di Elettronica e Informazione, Milano, Italy Alberto Leva: Politecnico di Milano, Dipartimento di Elettronica e Informazione, Milano, Italy

DOI:

10.3384/ecp12076477

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Full text (pdf)

Year:

2012

Conference:

Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany

Issue:

076

Article no.:

048

Pages:

477-484

No. of pages:

Publication type:

Abstract and Fulltext

Published:

2012-11-19

ISBN:

978-91-7519-826-2

Series:

Linköping Electronic Conference Proceedings

ISSN (print):

1650-3686

ISSN (online):

1650-3740

Publisher:

Linköping University Electronic Press; Linköpings universitet

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Many studies for which simulation is necessary include the presence of control systems. While plenty of Modelica libraries are nowadays available to accurately represent the plant; the same is not so true as for the control elements; since industrial ones are endowed with a number of functionalities -- and often present system- or even vendor-specific peculiarities -- that are not represented by the typical blocks (e.g.; based on transfer functions) offered by the existing libraries. This paper is an attempt to start filling the gap and provide an efficient solution; structured and organised in such a way to be easily understood by control specialists; and to ease information transfer between simulation studies and implementation.

Keywords: Control Systems; Auto Tuning; Industrial Controls

Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany

Author:

Marco Bonvini, Alberto Leva

Title:

A Modelica Library for Industrial Control Systems

DOI:

http://dx.doi.org/10.3384/ecp12076477

References:

[1] K.J. Åström and T. Hägglund. Industrial adaptive controllers based on frequency response techniques. Automatica; 27(4):599–609; 1991. doi: 10.1016/0005-1098(91)90052-4.

[2] K.J. Åström and T. Hägglund. Benchmark systems for PID control. In IFAC Workshop on Digital Control – Past; present; and future of PID Control; Terrassa; Spain; 2000.

[3] K.J. Åström and T. Hägglund. Advanced PID control. Instrument Society of America; Research Triangle Park; NY; 2006.

[4] W. Dunn and W.C. Dunn. Fundamentals of industrial instrumentation and process control. McGraw-Hill Professional; 2005.

[5] A. Leva. PID autotuning algorithm based on relay feedback. IEE Proceedings-D; 140(5):328–338; 1993.

[6] A. Leva and M. Bonvini. Efficient hybrid simulation of autotuning PI controllers. In Proc. 8th International Modelica Conference; Dresden; Germany; 2011.

[7] A. Leva; S. Negro; and A.V. Papadopoulos. PI/PID autotuning with contextual model parametrisation. Journal of Process Control; 20(4):452–463; 2010. doi: 10.1016/j.jprocont.2010.01.005.

[8] A. O’Dwyer. Handbook of PI and PID controller tuning rules. World Scientific Publishing; Singapore; 2003. doi: 10.1142/p277.

[9] F.G. Shinskey. Process control: as tought versus as practiced. Industrial & Engineering Chemistry Research; 41(16):3745–3750; 2002. doi: 10.1021/ie010645n.

Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany

Author:

Marco Bonvini, Alberto Leva

Title:

A Modelica Library for Industrial Control Systems

DOI:

https://doi.org10.3384/ecp12076477

Note: the following are taken directly from CrossRef

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Last updated: 2019-11-06