DocumentCode
2838758
Title
Some issues with the intelligent control of industrial processes
Author
Palaniswami, M. ; Pang, V. ; Feng, G.
Author_Institution
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
fYear
1989
fDate
22-24 Nov 1989
Firstpage
1021
Lastpage
1024
Abstract
An intelligent controller was developed with neural networks for the control of a multicapacity liquid level system. The neural controller was trained off-line with data acquired from the knowledge of the water tank system dynamics. The performance of the controller was examined in relation to some of the robustness issues in the control of real-life plants. A comparison was made using a recently developed robust adaptive pole-assignment algorithm for the control of the same unknown plant
Keywords
artificial intelligence; controllers; level control; neural nets; process computer control; artificial intelligence; intelligent controller; level control; multicapacity liquid level system; neural networks; process computer control; robustness; water tank system; Control systems; Electrical equipment industry; Industrial control; Industrial relations; Intelligent control; Intelligent networks; Neural networks; Process control; Programmable control; Robust control;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '89. Fourth IEEE Region 10 International Conference
Conference_Location
Bombay
Type
conf
DOI
10.1109/TENCON.1989.177104
Filename
177104
Link To Document