IMPROVING THE PERFORMANCE OF PID CONTROLLERS BY USING EVOLUTIONARY ALGORITHM

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Published: 2015-10-02

Page: 82-91


ALIREZA REZAEE

Department of Systems and Mechatronics Engineering, Faculty of New Sciences and Technologies, University of Tehran, P.O.Box 14395-1561, Tehran, Iran

FARIBA JAHANDIDEH SHEKALGOURABI *

University of Tehran, Tehran, Iran

*Author to whom correspondence should be addressed.


Abstract

Genetic algorithm is a search method inspired by the biological evolution of a system based on selection theory of Darwin and Mendel's inheritance that has been developed for solving engineering problems. If you decide to control the normal block, a decision of the blocks maybe chosen to look at. In order to control the population optimally, Genetic Algorithm (GA) is applied to develop and control the process. If the controller is separable into two independent parts (such as controllers PID), it can be defined in two distinct populations and the evolutionary algorithms can be applied to them.

Keywords: Genetic algorithms, evolutionary, PID controllers


How to Cite

REZAEE, A., & SHEKALGOURABI, F. J. (2015). IMPROVING THE PERFORMANCE OF PID CONTROLLERS BY USING EVOLUTIONARY ALGORITHM. Asian Journal of Mathematics and Computer Research, 8(2), 82–91. Retrieved from https://ikprress.org/index.php/AJOMCOR/article/view/482

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