Auttarat Nawikavatan

Work place: Department of Electrical Engineering, Faculty of Engineering, Pathumwan Institute of Technology, Bangkok, 10330, Thailand



Research Interests: Engineering


Auttarat Nawikavatan received his B.Eng. degree in electrical engineering from South-East Asia University (SAU), Bangkok, Thailand, in 2001, B.A. degree in political science from Ramkhamhaeng University, Bangkok, Thailand, in 2002 and M.Eng. degree in electrical engineering from King Mongkut's Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand, in 2005, respectively. Now, he is a Ph.D. candidate in electrical engineering, faculty of engineering, Pathumwan Institute of Technology (PIT), Bangkok, Thailand. 

Since 2006, he has been an the lecturer at Department of Electrical Engineering, Faculty of Engineering, South-East Asia University, Bangkok, Thailand. His research interests include system identification, intelligent control, power electronics and motor drives.

Author Articles
Application of Intensified Current Search to Multiobjective PID Controller Optimization

By Auttarat Nawikavatan Satean Tunyasrirut Deacha Puangdownreong

DOI:, Pub. Date: 8 Nov. 2016

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 (3-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 3-IM control application. Moreover, the simulation results of motor control application are confirmed by the experimental results based on dSPACE technology.

[...] Read more.
Other Articles