Automatic loop-shaping in quantitative feedback theory using genetic algorithms

Chen, W. and Li, Y. (2004) Automatic loop-shaping in quantitative feedback theory using genetic algorithms. World Journal of Engineering, 1(2), pp. 8-17.

Abstract

Design automation in Quantitative Feedback Theory (QFT) is addressed in this paper. An automatic loop shaping procedure based on Genetic Algorithms (GAs) is developed, where a robust controller for uncertain plants can be designed automatically such that the cost of feedback is minimised and all robust stability and performance specifcations are satisfed. The developed approach can improve the current QFT design in at least two aspects. One is in the design of an initial controller for complicated plants, which might be difficult even to find a stabilising controller manually. The other is in improving the initial manual design by optimisation of the performance index under the prescribed requirements within the neighbourhood of the manual design. An illustrative example which compares manual loop shaping with automatic loop shaping is presented.

• Item Type: Articles
• Keywords: Quantitative feedback theory, design automation, Genetic Al- gorithms, stability.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Li, Professor Yun
• Authors: Chen, W., and Li, Y.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Research Group: Centre for Systems and Control
• Journal Name: World Journal of Engineering
• Publisher: Sun Light Publishing Canada
• ISSN: 1708-5284
• Copyright Holders: Copyright © 2004 Sun Light Publishing
• First Published: First published in World Journal of Engineering 1(2):8-17
• Publisher Policy: Reproduced with the permission of the editor