Optimization Of Fuzzy Logic Based For Vector Control Induction Motor Drives

Salleh, Zulhisyam and Sulaiman , Marizan and Omar, Rosli and Patakor, Fizatul Aini (2017) Optimization Of Fuzzy Logic Based For Vector Control Induction Motor Drives. Ieee Xplore. pp. 1-6. ISSN -

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Recently, fuzzy logic controllers have been recognized in induction motor drives systems for their robust performance. Therefore, this paper presents a fuzzy logic (FL) control system based on FL approach for a vector controlled induction motor drives for high performance application. The analysis, design and simulation of the FL controller for vector control induction motor are carried out based on scaling factor and membership functions theory. First, the drives system was simulated with Standard Constant Parameter FL, Design Case Constant Parameter Fuzzy Logic and PI controller. Then the best performances of these controllers were compared to proposed optimized fuzzy logic controller (OFL). The OFL is done by tuning of scaling factor for the change in speed error, Gce to produce a better transient behaviour, and altering the width and moving the peak value positions of membership functions to improve control performance. The results show that the proposed OFL gives better performances in tracking performances and also load disturbances. The test is done in different operating conditions for half rated speed and full rated speed, half and full load condition. The results demonstrates the robustness and the effectiveness of OFL controller for high performance of induction motor drive system.

Item Type: Article
Uncontrolled Keywords: controller; fuzzy logic control; induction motor; scaling factors; vector control
Subjects: T Technology > T Technology (General)
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Electrical Engineering
Depositing User: Nor Aini Md. Jali
Date Deposited: 13 Jul 2017 07:44
Last Modified: 21 Jul 2021 23:42
URI: http://eprints.utem.edu.my/id/eprint/18658
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