Journal of South China University of Technology (Natural Science Edition) ›› 2006, Vol. 34 ›› Issue (9): 1-7.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Intelligent Bang-Bang Predictive Control Algorithm Based on Bang-Bang Control

Cao Jian-zhong  Luo Fei  Xu Yu-ge  Huang Jin-qi   

  1. School of Automation Science and Engineering,South China Univ.of Feeh.,Guangzhou 510640,Guangdong.China
  • Received:2006-02-21 Online:2006-09-25 Published:2006-09-25
  • Contact: 曹建忠(1969-),男,在职博士生,惠州学院教师,主要从事信息处理及计算机控制方面的研究 E-mail:cjz@hzu.edu.cn
  • About author:曹建忠(1969-),男,在职博士生,惠州学院教师,主要从事信息处理及计算机控制方面的研究
  • Supported by:

    国家自然科学基金资助项目(69684001)

Abstract:

In order to solve the complex problems of adding the additional constraints of state variables,getting the Bang-Bang curve and determining the optimal path in the application of the Bang-Bang control theory,an intelligent Bang-Bang predictive control method is proposed.In this method,a new set of control signals is first presented ac-cording to the discrete convolution principle.Next,a new switching equation and a new deceleration law are con.structed.Then,the deadbeat addition control restricted by threshold signals is accomplished with the flame of Bang-Bang control.The proposed method improves the strategy and algorithm of the predictive control,guarantees the dynamic performance of the control system,makes the transition time reduce to a value less than that in ideal Bang-Bang control,and enables the predictive control system to attenuate monotonously without static errors.Moreover,it is of the advantageous of quick reaction,high precision,good robustness to the output turbulence and wide scope of application.Its effectiveness is finally verified by simulated results.

Key words: predictive control, deadbeat control, Bang-Bang control, intelligent Bang-Bang