Parameter optimization of model predictive control using PSO

Ryohei Susuki, Fukiko Kawai, Chikashi Nakazawa, Tetsuro Matsui, Eitaro Aiyoshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Among various control methods, model predictive control (MPC) becomes one of the major control strategies and has many successful applications. This paper presents an automatic tuning method of MPC using particle swarm optimization (PSO). One of the challenges in MPC is how the control parameters can be tuned for various target plants, and usage of PSO for automatic tuning is one of the solutions. The tuning problem of MPC is formulated as an optimization problem and PSO is applied as the optimization techniques. PSO is one of meta-heuristic methods which are known to search a global optimum at a relatively high ratio and with no use of a gradient. The numerical results for simple examples show the effectiveness of the proposed PSO-based automatic tuning method.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages1981-1988
Number of pages8
DOIs
Publication statusPublished - 2008
EventSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology - Tokyo, Japan
Duration: 2008 Aug 202008 Aug 22

Other

OtherSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
CountryJapan
CityTokyo
Period08/8/2008/8/22

Fingerprint

Model predictive control
Particle swarm optimization (PSO)
Tuning
Heuristic methods

Keywords

  • Feed back system
  • Model predictive control
  • Particle swarm optimizaiton

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

Cite this

Susuki, R., Kawai, F., Nakazawa, C., Matsui, T., & Aiyoshi, E. (2008). Parameter optimization of model predictive control using PSO. In Proceedings of the SICE Annual Conference (pp. 1981-1988). [4654987] https://doi.org/10.1109/SICE.2008.4654987

Parameter optimization of model predictive control using PSO. / Susuki, Ryohei; Kawai, Fukiko; Nakazawa, Chikashi; Matsui, Tetsuro; Aiyoshi, Eitaro.

Proceedings of the SICE Annual Conference. 2008. p. 1981-1988 4654987.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Susuki, R, Kawai, F, Nakazawa, C, Matsui, T & Aiyoshi, E 2008, Parameter optimization of model predictive control using PSO. in Proceedings of the SICE Annual Conference., 4654987, pp. 1981-1988, SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology, Tokyo, Japan, 08/8/20. https://doi.org/10.1109/SICE.2008.4654987
Susuki R, Kawai F, Nakazawa C, Matsui T, Aiyoshi E. Parameter optimization of model predictive control using PSO. In Proceedings of the SICE Annual Conference. 2008. p. 1981-1988. 4654987 https://doi.org/10.1109/SICE.2008.4654987
Susuki, Ryohei ; Kawai, Fukiko ; Nakazawa, Chikashi ; Matsui, Tetsuro ; Aiyoshi, Eitaro. / Parameter optimization of model predictive control using PSO. Proceedings of the SICE Annual Conference. 2008. pp. 1981-1988
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