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Self-tuning proportional, integral and derivative controller based on genetic algorithm least squares

Warwick, K. and Kang, Y.-H. (1998) Self-tuning proportional, integral and derivative controller based on genetic algorithm least squares. Proceedings of the Institution of Mechanical Engineers- Part I: Journal of Systems and Control Engineering, 212 (6). pp. 437-448. ISSN 0959-6518

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To link to this article DOI: 10.1243/0959651981539596

Abstract/Summary

A self-tuning proportional, integral and derivative control scheme based on genetic algorithms (GAs) is proposed and applied to the control of a real industrial plant. This paper explores the improvement in the parameter estimator, which is an essential part of an adaptive controller, through the hybridization of recursive least-squares algorithms by making use of GAs and the possibility of the application of GAs to the control of industrial processes. Both the simulation results and the experiments on a real plant show that the proposed scheme can be applied effectively.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:17831
Publisher:Sage Publications

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