A Fuzzy Logic Controller Based SRM With Torque Ripple Suppression For EV Applications

Document Type : Primary Research paper

Authors

1 Asst. Prof, Dept. of Electrical and Electronics Engg, AMET Deemed to be University, Chennai, Tamilnadu, India

2 Assistant Professor in Dept. of Aeronautical Engg, Vel Tech Dr. Rangarajan Dr. Sagunthala R&D Institute of Science & Technology, Chennai, India..

3 UG Student, Dept. of Electrical and Electronics Engg, AMET Deemed to be University, Chennai, Tamilnadu, India

Abstract

Switched motor reticence (SRM, for its inexpensive cost, its simple form, its
defect tolerance and its great controllability) is widely used as a variable speed drive for
industrial applications. The greatest issues with high torque rips are the switching
reluctance motor as a consequence of a doubly salient design that causes vibration and
rumble. The torque ripple can be minimised, either by geometric engine designs or by
other control approaches. This study suggests the use of an intelligent control, such as a
Fuzzy Logic Control, to reduce torque rib suppression, and to build an AC power supply
boost converter driven by SRM motors. Increased speed control and improved efficiency
were obtained. The proposed system is simulated with MATLAB/Simulink with SRM fixed
parameters.

Keywords

Int. J. of Aquatic Science
Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 358-369

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