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
Cao Jian-zhong Luo Fei Xu Yu-ge Huang Jin-qi
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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
Cao Jian-zhong Luo Fei Xu Yu-ge Huang Jin-qi. Intelligent Bang-Bang Predictive Control Algorithm Based on Bang-Bang Control[J]. Journal of South China University of Technology (Natural Science Edition), 2006, 34(9): 1-7.
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