Please use this identifier to cite or link to this item: https://doi.org/10.1243/0959651011541021
Title: Automatic design of multi-variable quantitative feedback theory control systems via evolutionary computation
Authors: Tan, K.C. 
Lee, T.H. 
Khor, E.F.
Keywords: Computer aided control system design
Evolutionary algorithm
Multi-objective
Optimization
Quantitative feedback theory (QFT)
Issue Date: 2001
Source: Tan, K.C., Lee, T.H., Khor, E.F. (2001). Automatic design of multi-variable quantitative feedback theory control systems via evolutionary computation. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering 215 (3) : 245-259. ScholarBank@NUS Repository. https://doi.org/10.1243/0959651011541021
Abstract: This paper proposes a multi-objective evolutionary automated design methodology for multi-variable quantitative feedback theory (QFT) control systems. Unlike existing analytical and convex optimization-based QFT design approaches, the evolutionary 'intelligent' technique is capable of automatically evolving both the nominal controller and the pre-filter simultaneously to meet the usually conflicting multiple performance requirements in QFT, without going through the sequential and conservative design stages for each of the multi-variable subsystems. In addition, it avoids the need of manual QFT bound computation and trial-and-error loop-shaping design procedures, which are particularly useful for multi-variable or unstable plants where stabilizing controllers may be difficult to synthesize. The effectiveness of the proposed QFT design methodology is validated upon a benchmark multi-variable system, which offers a set of low-order Pareto optimal controllers satisfying all closed-loop performances under practical constraints.
Source Title: Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/55168
ISSN: 09596518
DOI: 10.1243/0959651011541021
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

3
checked on Dec 5, 2017

WEB OF SCIENCETM
Citations

2
checked on Dec 5, 2017

Page view(s)

13
checked on Dec 11, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.