Speed controller of switched reluctance motor

19Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

Fuzzy logic control has become an important methodology in control engineering. The paper proposes a Fuzzy Logic Controller (FLC) for controlling a speed of SRM drive. The objective of this work is to compare the operation of P & PI based conventional controller and Artificial Intelligence (AI) based fuzzy logic controller to highlight the performances of the effective controller. The present work concentrates on the design of a fuzzy logic controller for SRM speed control. The result of applying fuzzy logic controller to a SRM drive gives the best performance and high robustness than a conventional P & PI controller. Simulation is carried out using matlab simulink.

References Powered by Scopus

Non-linear flux linkage modeling of switched reluctance machine using MVNLR and ANFIS

10Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Speed control with torque ripple reduction of switched reluctance motor by Hybrid Many Optimizing Liaison Gravitational Search technique

35Citations
N/AReaders
Get full text

Closed-loop speed control of switched reluctance motor drive fed from novel converter with reduced number of switches

10Citations
N/AReaders
Get full text

Torque ripple minimization in switched reluctance motor using ANFIS controller

5Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Kiruthika, D., & Susitra, D. (2014). Speed controller of switched reluctance motor. Indian Journal of Science and Technology, 7(8), 1043–1048. https://doi.org/10.17485/ijst/2014/v7i8.4

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 5

71%

Lecturer / Post doc 2

29%

Readers' Discipline

Tooltip

Engineering 7

100%

Save time finding and organizing research with Mendeley

Sign up for free