DocumentCode :
2237377
Title :
Adaptive QFT control using hybrid global optimization and constraint propagation techniques
Author :
Nataraj, P.S.V. ; Kubal, Nandkishor
Author_Institution :
Fac. of Syst. & Control Engg, IIT Bombay, Mumbai, India
fYear :
2008
fDate :
9-11 Dec. 2008
Firstpage :
1001
Lastpage :
1005
Abstract :
We propose a procedure for the online design of adaptive quantitative feedback theory (QFT) control system. The proposed procedure uses hybrid global optimization and interval constraint propagation techniques to automatically design online an adaptive QFT controller and prefilter as and when required. While the hybrid global optimization combines interval global optimization and nonlinear local optimization methods, the interval constraint propagation techniques accelerate the optimization search by very effectively discarding infeasible controller parameter regions. The proposed adaptive QFT control is experimentally demonstrated on a coupled tanks system in the laboratory. Experimental results show the superiority of the proposed adaptive QFT control over standard QFT control, in terms of both reduced error and reduced control effort.
Keywords :
adaptive control; constraint handling; feedback; nonlinear control systems; adaptive QFT control; coupled tanks system; hybrid global optimization; interval constraint propagation techniques; nonlinear local optimization; prefilter; quantitative feedback theory; Acceleration; Adaptive control; Automatic control; Constraint optimization; Control systems; Design optimization; Feedback; Laboratories; Optimization methods; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location :
Cancun
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3123-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2008.4738668
Filename :
4738668
Link To Document :
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