Automatic tuning of model predictive control using particle swarm optimization

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

研究成果: Conference contribution

16 被引用数 (Scopus)

抄録

This paper presents an automatic tuning method of model predictive control (MPC) using particle swarm optimization (PSO). Although conventional PID is difficult to treat constraints and future plant dynamics, MPC can treat 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.

本文言語English
ホスト出版物のタイトルProceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007
ページ221-226
ページ数6
DOI
出版ステータスPublished - 2007 9 25
イベント2007 IEEE Swarm Intelligence Symposium, SIS 2007 - Honolulu, HI, United States
継続期間: 2007 4 12007 4 5

出版物シリーズ

名前Proceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007

Other

Other2007 IEEE Swarm Intelligence Symposium, SIS 2007
国/地域United States
CityHonolulu, HI
Period07/4/107/4/5

ASJC Scopus subject areas

  • 人工知能

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