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Adaptive QFT control using hybrid global optimization and constraint propagation techniques

DSpace at IIT Bombay

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Title Adaptive QFT control using hybrid global optimization and constraint propagation techniques
 
Creator NATARAJ, PSV
KUBAL, NANDKISHOR
 
Subject adaptive control system
constrained optimization
global optimization
optimization
nonlinear control system
 
Description 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.
 
Publisher IEEE
 
Date 2009-06-16T11:19:24Z
2011-11-28T08:30:44Z
2011-12-15T09:57:39Z
2009-06-16T11:19:24Z
2011-11-28T08:30:44Z
2011-12-15T09:57:39Z
2008
 
Identifier Proceedings of the 47th IEEE Conference on Decision and Control, CDC, Cancun, Mexico, 9-11 Dec. 2008,
01912216
10.1109/CDC.2008.4738668
http://hdl.handle.net/10054/1498
http://dspace.library.iitb.ac.in/xmlui/handle/10054/1498
 
Language en