Work place: Department of Electrical Engineering, Faculty of Engineering, Pathumwan Institute of Technology, Bangkok, 10330, Thailand
Research Interests: Computational Science and Engineering, Computational Engineering, Robotics, Engineering
Satean Tunyasrirut received his B.S.I.Ed. in electrical engineering and M.S. Tech.Ed. in electrical technology from King Mongkut’s Institute of Technology North Bangkok (KMITNB), Bangkok, Thailand in 1986 and 1994, respectively. He received the B.Eng in electrical engineering from Rajamangala University of Technology Thanyaburi (RMUTT), Thailand, in 2003 and D.Eng in electrical engineering from King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand, in 2007.
In 1995, he was awarded with the Japan International Cooperation Agency (JICA) scholarship for training the Industrial Robotics at Kumamoto National College of Technology, Japan. Since 2005, he has been an associated professor at Department of Instrumentation Engineering, Pathumwan Institute of Technology (PIT), Bangkok, Thailand. His research interests include modern control, intelligent control, power electronics, electrical machine and motor drives.
DOI: https://doi.org/10.5815/ijigsp.2018.01.01, Pub. Date: 8 Jan. 2018
The objective of this paper is to present the three phase induction motor drive using the cooperation of fuzzy logic controller and proportional plus integral (PI) controller as a hybrid run on field oriented control (FOC) for improving the performance of rotor speed. The system is fed to a three phase induction motor by voltage source inverter that is used space vector modulation (SVM) technique. This system is implemented with the control system on dSPACE programming which is supported by MATLAB/Simulink through a dSPACE -ds1140 interfacing module. In the implementation, the conventional PI controllers are replaced by hybrid fuzzy PI controllers of both an outer speed control loop and two inner currents control loops that are controlled stator flux and rotor torque of the induction motor. The experimental results are compared with conventional PI controllers. As a result, the performance of design model by hybrid fuzzy PI controller is better than the conventional PI controllers.[...] Read more.
DOI: https://doi.org/10.5815/ijisa.2016.11.06, 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.
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