Application of Intensified Current Search to Multiobjective PID Controller Optimization
Auttarat Nawikavatan, Satean Tunyasrirut, Deacha Puangdownreong · International Journal of Intelligent Systems and Applications · 2016
The intelligent control system design has been changed fro m 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 (M L) regarded as the explo ration strategy and the adaptive radius (AR) and adaptive neighborhood (AN) mechanis ms regarded as the exp loitation strategy.The ML is used to escape fro m 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 mu ltiobject ive PID controller design optimization for the three-phase induction motor (3-IM) speed control system is proposed.Algorithms of the ICS and its performance evaluation against multiobject ive functions are presented.As simulation results, the ICS can provide very satisfactory solutions for all test functions and the 3-IM control application.Moreover, the simu lation results of motor control application are confirmed by the experimental results based on dSPACE technology.