Optimal fuzzy PID control based on genetic algorithm

Published 2 January 2003

P. Wang, D.P. Kwok

DOI10.1109/iecon.1992.254451

Citations28

TL;DR

An optimization scheme for fuzzy PID controllers is presented using a simple GA which can automatically optimize the whole base or a sufficient set of fuzzy PID control rules under various performance indices including knowledge-based indices.

Abstract

Genetic algorithms (GAs) are utilized to build an optimization mechanism to refine the rule base of fuzzy proportional-integral-derivative (PID) controllers. The essential control law of fuzzy PID controllers is formulated by means of fuzzy set theory and the classical PID principle. An optimization scheme for fuzzy PID controllers is presented using a simple GA which can automatically optimize the whole base or a sufficient set of fuzzy PID control rules under various performance indices including knowledge-based indices. The realization of this optimal fuzzy PID control system is discussed in terms of numerical algorithms. The proposed approach was applied to an experimental heating process and the simulation results are presented.>

Keywords

Computer ScienceEngineering

Information and ControlFuzzy sets

66,132 Citations1965L. A. Zadeh

Choice Reviews OnlineGenetic algorithms in search, optimization, and machine learning

49,278 Citations1989

This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.

International Journal of Human-Computer StudiesAn Experiment in Linguistic Synthesis with a Fuzzy Logic Controller

5,636 Citations1999E.H. Mamdani, S. ASSILIAN

IEEE Transactions on Systems Man and CyberneticsFuzzy logic in control systems: fuzzy logic controller. I

5,581 Citations1990C.C. Lee

This paper presents a survey of the FLC; describes a general methodology for constructing an FLC and assessing its per formance; and points to problems which need further research.

Proceedings of the Institution of Electrical EngineersApplication of fuzzy algorithms for control of simple dynamic plant

3,989 Citations1974E.H. Mamdani

A scheme in which a fuzzy algorithm is used to control plant, in this case, a laboratory-built steam engine, implemented as an interpreter of a set of rules expressed as fuzzy conditional statements.

IEEE Transactions on Systems Man and CyberneticsFuzzy logic in control systems : fuzzy logic controller. Part II

2,227 Citations1990Chuen Chien Lee

The fuzzy logic controller (FLC) based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy.

AutomaticaA linguistic self-organizing process controller

1,078 Citations1979T.J. Procyk, E.H. Mamdani

A heuristic controller for dynamic processes is presented in this paper whose control policy is able to develop and improve automatically and find an application in those complex systems which have been too difficult to control or which in the past have had to rely on the experience of a human operator.

IEEE Transactions on Fuzzy SystemsFuzzy control of pH using genetic algorithms

700 Citations1993Charles L. Karr, E. J. Gentry

Researchers at the U.S. Bureau of Mines have developed a technique for producing adaptive fuzzy logic controllers (FLC’s) that are capable of effectively managing nonlinear, rapidly changing pH systems commonly found in industry.

AutomaticaApplication of a fuzzy controller in a warm water plant

302 Citations1976Walter Kickert, H.R. van Nauta Lemke

Fuzzy algorithms based on linguistic rules describing the operator's control strategy are applied toControl of a warm water plant using fuzzy set theory.

Deep Blue (University of Michigan)Artificial Genetic Adaptation In Computer Control Systems.

74 Citations1971R.B. Hollstien

View PDF