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

33 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.

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

Fingerprint

Control theory
Genetic algorithms
Feedback
Controllers
Global optimization
Evolutionary algorithms
MATLAB

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
Chen, W. H. ; Ballance, D. J. ; Feng, W. ; Li, Y. / Genetic algorithm enabled computer-automated design of QFT control systems. Proceedings of the IEEE International Symposium on Computer-Aided Control System Design. IEEE, 1999. pp. 492-497
@inproceedings{0db1c422243e44b793d8503eae671efc,
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 = "12",
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",

}

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

Genetic algorithm enabled computer-automated design of QFT control systems. / Chen, W. H.; Ballance, D. J.; Feng, W.; Li, Y.

Proceedings of the IEEE International Symposium on Computer-Aided Control System Design. IEEE, 1999. p. 492-497.

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

TY - GEN

T1 - Genetic algorithm enabled computer-automated design of QFT control systems

AU - Chen, W. H.

AU - Ballance, D. J.

AU - Feng, W.

AU - Li, Y.

PY - 1999/12/1

Y1 - 1999/12/1

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.

KW - control system

KW - CAD

KW - feedback

KW - genetic algorithms

KW - reduced order systems

UR - http://www.scopus.com/inward/record.url?scp=0033324242&partnerID=8YFLogxK

U2 - 10.1109/CACSD.1999.808697

DO - 10.1109/CACSD.1999.808697

M3 - Conference contribution book

SP - 492

EP - 497

BT - Proceedings of the IEEE International Symposium on Computer-Aided Control System Design

PB - IEEE

ER -

Chen WH, Ballance DJ, Feng W, Li Y. Genetic algorithm enabled computer-automated design of QFT control systems. In Proceedings of the IEEE International Symposium on Computer-Aided Control System Design. IEEE. 1999. p. 492-497 https://doi.org/10.1109/CACSD.1999.808697