Tuning Fuzzy Membership Functions To Improve Performance Of Vector Control Induction Motor Drives

Zulhisyam, Salleh and Marizan, Sulaiman and Rosli, Omar (2016) Tuning Fuzzy Membership Functions To Improve Performance Of Vector Control Induction Motor Drives. Journal of Telecommunication, Electronic and Computer Engineering (JTEC) , 8 (2). pp. 1-4. ISSN 2180-1843

Text marizan_41.pdf - Published Version Download (748kB)

Abstract

This paper presents an effective strategy for tuning of fuzzy membership functions based on fuzzy logic controller approach for a vector controlled induction motor drives for high performance applications. Initially, the input scaling factors are calculated based on known motor data and symmetrical triangular membership functions have been used for standard design. Then, asymmetrical convergent peak value positions of these membership functions have been considered to improve the control performance. The simulation test is done for low, half and full rated speed response and load disturbance for full rated speed. By tuned membership functions, the results demonstrate that the robustness and the effectiveness of fuzzy logic controller for high performance of induction motor drives system is achieved.

Item Type:	Article
Uncontrolled Keywords:	Fuzzy logic controller; Induction motor; Membership functions.
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Electrical Engineering
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	22 Aug 2016 08:53
Last Modified:	07 Sep 2021 23:23
URI:	http://eprints.utem.edu.my/id/eprint/17038
Statistic Details:	View Download Statistic

Actions (login required)

View Item