Genetic algorithm enabled computer-automated design of QFT control systems

W. H. Chen; D. J. Ballance; W. Feng; Y. Li

doi:10.1109/CACSD.1999.808697

Genetic algorithm enabled computer-automated design of QFT control systems

W. H. Chen, D. J. Ballance, W. Feng, Y. Li

Faculty Of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

37 Citations (Scopus)

Abstract

This paper first reviews existing Quantitative Feedback Theory (QFT) based design techniques and difficulties that a designer encounters. Based on this analysis and taking into account practical constraints, an evolutionary computation enabled automatic design procedure is developed. It can be employed to provide an initial controller quickly on which to base manual loop-shaping and refinements, or be used to further tune existing controllers or start from scratch. A design example against a MATLAB QFT Toolbox benchmark problem shows that this methodology not only automates loop-shaping but also improves design quality and, most usefully, improves the quality with a reduced order controller. The entire design is targeted towards global optimisation, including the prefilter selection.

Original language	English
Title of host publication	Proceedings of the IEEE International Symposium on Computer-Aided Control System Design
Publisher	IEEE
Pages	492-497
Number of pages	6
DOIs	https://doi.org/10.1109/CACSD.1999.808697
Publication status	Published - 1 Dec 1999
Event	Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design - Kohala Coat-Island, HI, USA Duration: 22 Aug 1999 → 27 Aug 1999

Conference

Conference	Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design
City	Kohala Coat-Island, HI, USA
Period	22/08/99 → 27/08/99

Keywords

control system
CAD
feedback
genetic algorithms
reduced order systems

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10.1109/CACSD.1999.808697

Cite this

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title = "Genetic algorithm enabled computer-automated design of QFT control systems",

abstract = "This paper first reviews existing Quantitative Feedback Theory (QFT) based design techniques and difficulties that a designer encounters. Based on this analysis and taking into account practical constraints, an evolutionary computation enabled automatic design procedure is developed. It can be employed to provide an initial controller quickly on which to base manual loop-shaping and refinements, or be used to further tune existing controllers or start from scratch. A design example against a MATLAB QFT Toolbox benchmark problem shows that this methodology not only automates loop-shaping but also improves design quality and, most usefully, improves the quality with a reduced order controller. The entire design is targeted towards global optimisation, including the prefilter selection.",

keywords = "control system, CAD, feedback, genetic algorithms , reduced order systems",

author = "Chen, {W. H.} and Ballance, {D. J.} and W. Feng and Y. Li",

year = "1999",

month = dec,

day = "1",

doi = "10.1109/CACSD.1999.808697",

language = "English",

pages = "492--497",

booktitle = "Proceedings of the IEEE International Symposium on Computer-Aided Control System Design",

publisher = "IEEE",

note = "Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design ; Conference date: 22-08-1999 Through 27-08-1999",

}

Chen, WH, Ballance, DJ, Feng, W & Li, Y 1999, Genetic algorithm enabled computer-automated design of QFT control systems. in Proceedings of the IEEE International Symposium on Computer-Aided Control System Design. IEEE, pp. 492-497, Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design, Kohala Coat-Island, HI, USA, 22/08/99. https://doi.org/10.1109/CACSD.1999.808697

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N2 - This paper first reviews existing Quantitative Feedback Theory (QFT) based design techniques and difficulties that a designer encounters. Based on this analysis and taking into account practical constraints, an evolutionary computation enabled automatic design procedure is developed. It can be employed to provide an initial controller quickly on which to base manual loop-shaping and refinements, or be used to further tune existing controllers or start from scratch. A design example against a MATLAB QFT Toolbox benchmark problem shows that this methodology not only automates loop-shaping but also improves design quality and, most usefully, improves the quality with a reduced order controller. The entire design is targeted towards global optimisation, including the prefilter selection.

AB - This paper first reviews existing Quantitative Feedback Theory (QFT) based design techniques and difficulties that a designer encounters. Based on this analysis and taking into account practical constraints, an evolutionary computation enabled automatic design procedure is developed. It can be employed to provide an initial controller quickly on which to base manual loop-shaping and refinements, or be used to further tune existing controllers or start from scratch. A design example against a MATLAB QFT Toolbox benchmark problem shows that this methodology not only automates loop-shaping but also improves design quality and, most usefully, improves the quality with a reduced order controller. The entire design is targeted towards global optimisation, including the prefilter selection.

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KW - CAD

KW - feedback

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Genetic algorithm enabled computer-automated design of QFT control systems

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