DocumentCode :
354182
Title :
The Smith neural networks pre-estimated control for a kind of system with large time-delay
Author :
Rui-Lin, Bai ; Jun, Li ; Yao-Meng, Liu
Author_Institution :
Dept. of Autom. Eng., Tianjin Inst. of Light Ind., China
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
895
Abstract :
This paper presents an improved Smith-NN pre-estimated control method which is designed to overcome the effect caused by controlled object´s time-varying, nonlinear and uncertainties when large time-delay is compensated. The studying of the closed loop neural controller and the Smith pre-estimated controller designing and testing prove the method is feasible. From control system simulation, especially experiments on the pH process and dynamic ration weighing process, confirm the effectiveness of the method to overcome large time-delay. This method can easily be realized by intelligent tools based on the assembly language
Keywords :
closed loop systems; delay systems; neurocontrollers; nonlinear systems; pH control; predictive control; process control; Smith neural networks; closed loop systems; dynamic ration weighing process; neurocontrol; nonlinear systems; pH process; preestimated control; time-delay systems; Automatic control; Automation; Control systems; Delay; Industrial control; Intelligent control; Lighting control; Neural networks; Nonlinear control systems; Process control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.863361
Filename :
863361
Link To Document :
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