Boonruang Wangsilabatra

Work place: Faculty of Engineering, Pathumwan Institue of Technology, Bangkok, 10330, Thailand



Research Interests: Engineering, Computational Engineering, Computational Science and Engineering


Boonruang Wangsilabatra received his B.S.I.Ed. degree in electrical engineering and M.Eng. from King Mongkut’s Institute of Technology North Bangkok (KMITNB), Bangkok, Thailand in 1987 and 2001. In 1994, he was awarded with the Japan International Cooperation Agency (JICA) scholarship for training in the Industrial Robotics at Kisarazu National College of Technology, Japan. In 1997, he was awarded with the Japan International Cooperation Agency (JICA) scholarship for training in the Oil Hydraulics and Mechatronics course at Kyushu International Training Center, Japan. Now, he has been an the lecturer at Department of Instrumentation and Control Engineering, Faculty of Engineering, Pathumwan Institute of Technology (PIT), Bangkok, Thailand. His research interests include electronics circuits design, intelligent control, power electronics and motor drives

Author Articles
Three Phase Induction Motor Drive Using Hybrid Fuzzy PI Controller based on Field Oriented Control

By Boonruang Wangsilabatra Satean Tunyasrirut Wachirapond Permpoonsinsup

DOI:, 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. 

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