Adaptive QFT control using hybrid global optimization and constraint propagation techniques
DSpace at IIT Bombay
View Archive InfoField | Value | |
Title |
Adaptive QFT control using hybrid global optimization and constraint propagation techniques
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Creator |
NATARAJ, PSV
KUBAL, NANDKISHOR |
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Subject |
adaptive control system
constrained optimization global optimization optimization nonlinear control system |
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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.
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Publisher |
IEEE
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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 |
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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 |
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Language |
en
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