An optimisation algorithm for designing fixed-structure controllers using the QFT method

We propose a simple optimisation algorithm for designing fixed-structure controllers for highly-uncertain plants. The method can be used to automate the loop-shaping step of the quantitative feedback theory (QFT) design procedure and guarantees robust stability and performance to the feedback loop f...

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Main Authors:	R. Nandakumar, G.D. Halikias, Argyrios C. Zolotas
Format:	Default Conference proceeding
Published:	2002
Subjects:	Mechanical engineering not elsewhere classified Robust control Quantitative feedback theory (QFT) Loop shaping Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/4308
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id	rr-article-9554018
record_format	Figshare
spelling	rr-article-95540182002-01-01T00:00:00Z An optimisation algorithm for designing fixed-structure controllers using the QFT method R. Nandakumar (7209152) G.D. Halikias (7207337) Argyrios C. Zolotas (7122554) Mechanical engineering not elsewhere classified Robust control Quantitative feedback theory (QFT) Loop shaping Mechanical Engineering not elsewhere classified We propose a simple optimisation algorithm for designing fixed-structure controllers for highly-uncertain plants. The method can be used to automate the loop-shaping step of the quantitative feedback theory (QFT) design procedure and guarantees robust stability and performance to the feedback loop for all parameters in the plant's uncertainty set. To avoid over-designing the system, the algorithm can be used to minimise either the asymptotic gain or the cross-over frequency of the open-loop system. Some preliminary results of this work have appeared in Zolotas et al. (1999). 2002-01-01T00:00:00Z Text Conference contribution 2134/4308 https://figshare.com/articles/conference_contribution/An_optimisation_algorithm_for_designing_fixed-structure_controllers_using_the_QFT_method/9554018 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified Robust control Quantitative feedback theory (QFT) Loop shaping Mechanical Engineering not elsewhere classified
spellingShingle	Mechanical engineering not elsewhere classified Robust control Quantitative feedback theory (QFT) Loop shaping Mechanical Engineering not elsewhere classified R. Nandakumar G.D. Halikias Argyrios C. Zolotas An optimisation algorithm for designing fixed-structure controllers using the QFT method
description	We propose a simple optimisation algorithm for designing fixed-structure controllers for highly-uncertain plants. The method can be used to automate the loop-shaping step of the quantitative feedback theory (QFT) design procedure and guarantees robust stability and performance to the feedback loop for all parameters in the plant's uncertainty set. To avoid over-designing the system, the algorithm can be used to minimise either the asymptotic gain or the cross-over frequency of the open-loop system. Some preliminary results of this work have appeared in Zolotas et al. (1999).
format	Default Conference proceeding
author	R. Nandakumar G.D. Halikias Argyrios C. Zolotas
author_facet	R. Nandakumar G.D. Halikias Argyrios C. Zolotas
author_sort	R. Nandakumar (7209152)
title	An optimisation algorithm for designing fixed-structure controllers using the QFT method
title_short	An optimisation algorithm for designing fixed-structure controllers using the QFT method
title_full	An optimisation algorithm for designing fixed-structure controllers using the QFT method
title_fullStr	An optimisation algorithm for designing fixed-structure controllers using the QFT method
title_full_unstemmed	An optimisation algorithm for designing fixed-structure controllers using the QFT method
title_sort	optimisation algorithm for designing fixed-structure controllers using the qft method
publishDate	2002
url	https://hdl.handle.net/2134/4308
_version_	1797378803199115264

An optimisation algorithm for designing fixed-structure controllers using the QFT method

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