Performance Evaluation of Pole Arc Modified SRM and Optimization of Energy Loss Using Fuzzy Logic

Author(s): M. Ravindaran, T. Mariprasath*, V. Kirubakaran, M.A. Perumal

Journal Name: Current Signal Transduction Therapy

Volume 13 , Issue 1 , 2018

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Abstract:

Background: Globally, an energy efficient electric drive is a vital role in the industrial application. Since, an industry has a number of electrical motors which are consuming significant energy. Hence, several researchers are motivated to search for energy efficient electrical motor. The Switched Reluctance Motor (SRM) is the energy efficient motor that of other. Meanwhile, SRM has rugged structure, inherent fault tolerance characteristics and cost-effective that of synchronous and induction machines. However, the usage of such a motor is limited due to torque ripples, friction and windage losses, acoustic noise and power losses due to control circuit.

Methods: This research work, proposed a novel designed SRM which is achieved by optimizing stator and rotor pole arc. The stator pole arc is modified from 32° to 36° and the 30° to 28° for rotor pole arc, respectively. Furthermore, stator coil excitation is depending on the control circuit, it have switches. This switch is causes significant power loss and so power quality issues are ascended. Henceforth, the paper proposed a new novel control circuit made by single transistor. After that, SRM’s, non- linear modelling was executed using a fuzzy logic technique. After that, SRM’s, non- linear modelling was executed using a fuzzy logic technique.

Results: From the experimental validation found that, pole arc modification significantly increased efficiency of SRM as well as reduced the torque ripples. Likewise, Fuzzy approach enhances the experimental study.

Conclusions: Based on the experiment analysis, the efficiency of pole arc modified switched reluctance motor is significantly increased that of others. Moreover, the fuzzy logic approach is reduced energy losses thus is has good correlation with experimental analysis. This work can be easily applied to SRMs for reducing the power consumption and hence achieving high efficiency.

Keywords: Switched reluctance motor, torque ripples, fuzzy logic, power loss, trasistor switch, pole arc.

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Article Details

VOLUME: 13
ISSUE: 1
Year: 2018
Published on: 15 August, 2018
Page: [68 - 75]
Pages: 8
DOI: 10.2174/1574362413666180222113858
Price: $65

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