Automatic tuning for model predictive control: Can particle swarm optimization find a better parameter?

Fukiko Kawai; Hideyuki Ito; Chikashi Nakazawa; Tetsuro Matsui; Yoshikazu Fukuyama; Ryohei Suzuki; Eitaro Aiyoshi

doi:10.1109/ISIC.2007.4450961

Automatic tuning for model predictive control: Can particle swarm optimization find a better parameter?

Fukiko Kawai, Hideyuki Ito, Chikashi Nakazawa, Tetsuro Matsui, Yoshikazu Fukuyama, Ryohei Suzuki, Eitaro Aiyoshi

Department of Applied Physics and Physico-Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

This paper presents an automatic tuning method of model predictive control (MPC) using particle swarm optimization (PSO). Although it is difficult for unskilled control designers to tune MPC weight parameters, PSO can solve this issues and practical control can be realized in various industrial problems. One of the challenges in MPC is how control parameters can be tuned for various target plants and usage of PSO for automatic tuning is one of the solutions. The numerical results show the effectiveness of the proposed PSO-based automatic tuning method.

Original language	English
Title of host publication	22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control
Publisher	IEEE Computer Society
Pages	646-651
Number of pages	6
ISBN (Print)	142440441X, 9781424404414
DOIs	https://doi.org/10.1109/ISIC.2007.4450961
Publication status	Published - 2007
Event	2007 IEEE 22nd International Symposium on Intelligent Control, ISIC 2007 - Singapore, Singapore Duration: 2007 Oct 1 → 2007 Oct 3

Publication series

Name	22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control

Other

Other	2007 IEEE 22nd International Symposium on Intelligent Control, ISIC 2007
Country/Territory	Singapore
City	Singapore
Period	07/10/1 → 07/10/3

ASJC Scopus subject areas

Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering
Modelling and Simulation

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10.1109/ISIC.2007.4450961

Cite this

Kawai, F., Ito, H., Nakazawa, C., Matsui, T., Fukuyama, Y., Suzuki, R., & Aiyoshi, E. (2007). Automatic tuning for model predictive control: Can particle swarm optimization find a better parameter? In 22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control (pp. 646-651). Article 4450961 (22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control). IEEE Computer Society. https://doi.org/10.1109/ISIC.2007.4450961

Automatic tuning for model predictive control: Can particle swarm optimization find a better parameter? / Kawai, Fukiko; Ito, Hideyuki; Nakazawa, Chikashi et al.
22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control. IEEE Computer Society, 2007. p. 646-651 4450961 (22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kawai, F, Ito, H, Nakazawa, C, Matsui, T, Fukuyama, Y, Suzuki, R & Aiyoshi, E 2007, Automatic tuning for model predictive control: Can particle swarm optimization find a better parameter? in 22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control., 4450961, 22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control, IEEE Computer Society, pp. 646-651, 2007 IEEE 22nd International Symposium on Intelligent Control, ISIC 2007, Singapore, Singapore, 07/10/1. https://doi.org/10.1109/ISIC.2007.4450961

Kawai F, Ito H, Nakazawa C, Matsui T, Fukuyama Y, Suzuki R et al. Automatic tuning for model predictive control: Can particle swarm optimization find a better parameter? In 22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control. IEEE Computer Society. 2007. p. 646-651. 4450961. (22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control). doi: 10.1109/ISIC.2007.4450961

Kawai, Fukiko ; Ito, Hideyuki ; Nakazawa, Chikashi et al. / Automatic tuning for model predictive control : Can particle swarm optimization find a better parameter?. 22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control. IEEE Computer Society, 2007. pp. 646-651 (22nd IEEE International Symposium on Intelligent Control, ISIC 2007. Part of IEEE Multi-conference on Systems and Control).

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AB - This paper presents an automatic tuning method of model predictive control (MPC) using particle swarm optimization (PSO). Although it is difficult for unskilled control designers to tune MPC weight parameters, PSO can solve this issues and practical control can be realized in various industrial problems. One of the challenges in MPC is how control parameters can be tuned for various target plants and usage of PSO for automatic tuning is one of the solutions. The numerical results show the effectiveness of the proposed PSO-based automatic tuning method.

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Automatic tuning for model predictive control: Can particle swarm optimization find a better parameter?

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