PSO-Based Self-Tuning Control for Time-Varying Delay and Variable Structure System
LIN Wei-Xing1,2, OU Chao1 , LIU Peter X.2, LI Wen-Lei1,2
1.Faculty of Information Science and Engineering, Ningbo University, Ningbo 3152112. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada K1S 5B6
Abstract A design method is presented for the self-tuning control algorithm in a time-varying delay and variable structure system. A self-tuning regulator is optimized by the particle swarm optimization (PSO) algorithm, combined with generalized minimum variance. Using an implicit identification, the method can track the errors of the system to increase the precision and decrease the computational burden. It is adaptable for the typical industrial process control, especially for time-varying and large time-delay models. Results of simulation and comparison show its advantages in robust and tracing precision.
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2008, Vol. 21 
