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