CAutoCSD-evolutionary search and optimisation enabled computer automated control system design

Li, Y., Ang, K.H., Chong, G.C.Y., Feng, W., Tan, K.C. and Kashiwagi, H. (2004) CAutoCSD-evolutionary search and optimisation enabled computer automated control system design. International Journal of Automation and Computing, 1(1), pp. 76-88. (doi: 10.1007/s11633-004-0076-8)

Abstract

This paper attempts to set a unified scene for various linear time-invariant (LTI) control system design schemes, by transforming the existing concept of 'Computer-Aided Control System Design' (CACSD) to the novel 'Computer-Automated Control System Design' (CAutoCSD). The first step towards this goal is to accommodate, under practical constraints, various design objectives that are desirable in both time and frequency-domains. Such performance-prioritised unification is aimed to relieve practising engineers from having to select a particular control scheme and from sacrificing certain performance goals resulting from pre-committing to the adopted scheme. With the recent progress in evolutionary computing based extra-numeric, multi-criterion search and optimisation techniques, such unification of LTI control schemes becomes feasible, analytically and practically, and the resultant designs can be creative. The techniques developed are applied to, and illustrated by, three design problems. The unified approach automatically provides an integrator for zero-steady state error in velocity control of a DC motor, meets multiple objectives in designing an LTI controller for a non-minimum phase plant and offers a high-performing LTI controller network for a nonlinear chemical process.

• Item Type: Articles
• Keywords: LTI, PID, control system design, CACSD, performance index, genetic algorithms, evolutionary computation, process control, robust control.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Li, Professor Yun
• Authors: Li, Y., Ang, K.H., Chong, G.C.Y., Feng, W., Tan, K.C., and Kashiwagi, H.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science; T Technology > T Technology (General)
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Research Group: Centre for Systems and Control
• Journal Name: International Journal of Automation and Computing
• Publisher: Springer
• ISSN: 1751-8520
• Copyright Holders: Copyright © 2004 Springer
• First Published: First published in International Journal of Automation and Computing 1(1):76-88
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher.