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Advanced Intelligence Tuning Using Hybrid of Clonal Selection and Genetic Algorithm, GM and PM

Dong Hwa Kim

Department of Electronic & Control, Hanbat National University, 16-Duckmyong, Daejeon 305-719, South Korea

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and

Jae Hoon Cho

Research Center, Anseong Keyong gi, Keyong gi, South Korea

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https://doi.org/10.1142/S1469026815500042Cited by:1 (Source: Crossref)

Abstract

This paper deals with intelligent tuning by hybrid system composed of genetic algorithm and clonal selection (CS). This paper uses gain margin (GM) and phase margin (PM) to define the tuning margin of control system for optimal tuning. Up to this time, many intelligent algorithms have been tried in order to improve the intelligent controller performance for industrial areas such as power plant, motor control, chemical control, and so on. However, in the actual plant, they are many limitations in tuning approaching because of computing speed. Therefore, it is difficult to apply for getting optimum value in tuning. In this paper, novel computing scheme has been done by hybrid CS algorithm and genetic algorithm, GM, and PM to obtain an advanced value and effective approach for optimal parameters.

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