Application of Intensified Current Search to Multiobjective PID Controller Optimization

Application of Intensified Current Search to Multiobjective PID Controller Optimization

Автор: Auttarat Nawikavatan, Satean Tunyasrirut, Deacha Puangdownreong

Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa

Статья в выпуске: 11 vol.8, 2016 года.

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The intelligent control system design has been changed from the conventional approach to the optimization framework solved by efficient metaheuristics. The intensified current search (ICS) has been recently proposed as one of the most powerful metaheuristics for solving optimization problems. The ICS, the latest modified version of the conventional current search (CS), possesses the memory list (ML) regarded as the exploration strategy and the adaptive radius (AR) and adaptive neighborhood (AN) mechanisms regarded as the exploitation strategy. The ML is used to escape from local entrapment caused by any local solution, while both AR and AN mechanisms are conducted to speed up the search process. In this paper, the application of the ICS to multiobjective PID controller design optimization for the three-phase induction motor (3Φ-IM) speed control system is proposed. Algorithms of the ICS and its performance evaluation against multiobjective functions are presented. As simulation results, the ICS can provide very satisfactory solutions for all test functions and the 3Φ;-IM control application. Moreover, the simulation results of motor control application are confirmed by the experimental results based on dSPACE technology.

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Intensified Current Search, Multiobjective PID Controller, Metaheuristics, Control System Optimization

Короткий адрес: https://sciup.org/15010875

IDR: 15010875

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