On-line tuning PID parameters in idle-speed engine based on modified BP neural network by particle swarm optimization

Jia Meng Yin, Ji Sun Shin, HeeHyol Lee

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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; the proposed method provides prominent performance benefits over the traditional controller in this simulation.

元の言語English
ホスト出版物のタイトルProceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09
ページ50-54
ページ数5
出版物ステータスPublished - 2009
イベント14th International Symposium on Artificial Life and Robotics, AROB 14th'09 - Oita
継続期間: 2008 2 52009 2 7

Other

Other14th International Symposium on Artificial Life and Robotics, AROB 14th'09
Oita
期間08/2/509/2/7

    フィンガープリント

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

これを引用

Yin, J. M., Shin, J. S., & Lee, H. (2009). On-line tuning PID parameters in idle-speed engine based on modified BP neural network by particle swarm optimization. : Proceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09 (pp. 50-54)