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Performance improvement based torque ripple minimization for direct torque control drive fed induction motor using fuzzy logic control

Elgbaily, Mohamed, Anayi, Fatih ORCID: and Packianather, Michael ORCID: 2022. Performance improvement based torque ripple minimization for direct torque control drive fed induction motor using fuzzy logic control. Presented at: 3rd International Conference on Control, Instrumentation and Mechatronics Engineering, CIM 2022, Online, 30-31 Mar 2022. Published in: Wahab, Norhaliza Abdul and Zaharuddin, Mohamed eds. Instrumentation and Mechatronics: Theory and Practice [Conference Proceedings]. Lecture Notes in Electrical Engineering. Lecture Notes in Electrical Engineering , vol.921 Springer Science Business Media, 416–428. 10.1007/978-981-19-3923-5_36

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This paper presents an investigation of the dynamic performance of Fuzzy Logic Control based on conventional Direct Torque Control (FLC-DTC) to mitigate torque ripples with a three phase Induction Motor (IM). This combination of FLC and DTC limits the level of torque ripple and improves the work performance of the IM. The IM is mainly used in industrial applications because of its advantages related to size limit and self-starting performance compared to other motors. The dynamic behaviour of IM is investigated in terms of parameters such as torque, speed, and flux. In the proposed work, a fuzzy logic control (FLC) with the trapezoidal and triangle membership functions (MFs) is used to produce an optimal control pulse signal, which controls the speed of the IM. Based on the parameters of MFs, the motor speed is dynamically controlled, and the quantity of torque ripples is minimized. Furthermore, FLC-DTC selects the appropriate inverter Voltage Vector (VV) by analysing three input variables: torque, flux, and flux angle to select the best VV using FLC rules. The implementation result indicates that the proposed control reduces the torque ripples twofold compared to the DTC. The proposed control method is implemented in MATLAB/Simulink platform, and the performance analysis highlights the efficiency of the suggested approach.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Engineering
Publisher: Springer Science Business Media
ISBN: 9789811939228
ISSN: 1876-1100
Date of Acceptance: 7 July 2022
Last Modified: 30 Nov 2022 08:34

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