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dc.contributor.authorMuthulakshmi, S-
dc.contributor.authorDhanasekaran, R-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.description.abstractThis paper presents a new converter for switched reluctance motor for controlling the speed using soft computing technique like Fuzzy Logic Controller (FLC). The operating modes of proposed converter circuit are discussed. The proposed converter is capable of minimizing the torque ripple because of its faster excitation and demagnetization nature and also improving the average torque when compared to the conventional converter circuit. Fuzzy Logic Controller has becoming an important methodology in control engineering. The FLC has fast response, easily modified, cheaper to implement and does not require any mathematical modeling, perfect speed tracking with no peak overshoot compared to the conventional controller. The objective of this paper is to achieve a desired speed response with effective controller. The effectiveness of the proposed system is verified by using simulation. The simulation results are carried out by using MATLAB/SIMULINK and the corresponding results are presented.en_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceJSIR Vol.75(05) [May 2016]en_US
dc.subjectSpeed controlen_US
dc.subjectTorque rippleen_US
dc.subjectFuzzy Logic Controller (FLC)en_US
dc.subjectAverage torqueen_US
dc.titleSpeed Control of Switched Reluctance Motor Using Soft Computing Technique for Industrial Applicationsen_US
Appears in Collections:JSIR Vol.75(05) [May 2016]

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