Genetic algorithm enabled computer-automated design of QFT control systems

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

34 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 languageEnglish
Title of host publicationProceedings of the IEEE International Symposium on Computer-Aided Control System Design
PublisherIEEE
Pages492-497
Number of pages6
DOIs
Publication statusPublished - 1 Dec 1999
EventProceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design - Kohala Coat-Island, HI, USA
Duration: 22 Aug 199927 Aug 1999

Conference

ConferenceProceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design
CityKohala Coat-Island, HI, USA
Period22/08/9927/08/99

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Keywords

  • control system
  • CAD
  • feedback
  • genetic algorithms
  • reduced order systems

Cite this

Chen, W. H., Ballance, D. J., 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 (pp. 492-497). IEEE. https://doi.org/10.1109/CACSD.1999.808697