BP network modified by particle swarm optimization and its application to online-tuning PID parameters in idle-speed engine control system

Jian Lei Cao*, Jia Meng Yin, Ji Sun Shin, Hee Hyol Lee

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

PID control systems are widely used in many fields, and many methods to tune parameters of PID controller are known. When the characteristics of the object are changed, the traditional PID control should be adjusted by empirical knowledge. It may bring a worse performance to the system. In this paper, a new method to tune PID parameters called as the modified back propagate network by particle swarm optimization is proposed. This algorithm combines the conventional PID control with the back propagate neural network (BPNN) and the particle swarm optimization (PSO). This method is demonstrated in the engine idle-speed control problem, and the proposed method provides prominent performance benefits over the traditional controller in this simulation.

本文言語English
ホスト出版物のタイトルICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
ページ3663-3666
ページ数4
出版ステータスPublished - 2009 12 1
イベントICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009 - Fukuoka, Japan
継続期間: 2009 8 182009 8 21

出版物シリーズ

名前ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings

Other

OtherICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009
国/地域Japan
CityFukuoka
Period09/8/1809/8/21

ASJC Scopus subject areas

  • 情報システム
  • 制御およびシステム工学
  • 産業および生産工学

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