Title :
An optimal self-tuning PID controller considering parameter estimation uncertainty
Author :
Tian, Baoxia ; Su, Hongye ; Chu, Jim
Author_Institution :
Inst. of Adv. Process Control, Zhejiang Univ., Hangzhou, China
Abstract :
For the tuning of PID controller parameters, two methods are presented in this paper to overcome the uncertainty of the parameter estimation, which are time-varying forgetting factor and model verification using correlation function. Then an optimization criterion is used for the self-tuning of the PID controller parameters. The simulation results show the effectiveness of the presented method
Keywords :
adaptive control; control system synthesis; correlation methods; optimal control; parameter estimation; self-adjusting systems; three-term control; time-varying systems; uncertain systems; correlation function; model verification; optimal self-tuning PID controller; optimization criterion; parameter estimation uncertainty; time-varying forgetting factor; Adaptive control; Industrial control; Laboratories; Optimal control; Parameter estimation; Process control; Programmable control; Three-term control; Tuning; Uncertainty;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863037
