Research Article | OPEN ACCESS
Improving the Efficiency and Power Factor of Induction Motor using Enhanced ABC with Aid of GA
1N. Anbalagan and 2S. Chenthur Pandian
1TANGEDCO, Erode, India
2Mahalingam College of Engineering and Technology, Coimbatore, Tamil Nadu, India
Research Journal of Applied Sciences, Engineering and Technology 2014 24:5119-5128
Received: January 13, 2014 | Accepted: February 15, 2014 | Published: June 25, 2014
Abstract
This study presents a technique for improving the efficiency and power factor of induction motor. In the proposed method, enhanced Artificial Bee Colony (ABC) with the aid of Genetic Algorithm (GA) algorithm is used to optimize the induction motor’s parameters at various loading points. In the proposed algorithm, employed bees are generated the new solution for the input parameters by using GA. In the proposed method, GA is used for controlling the frequency of perturbation and improving the searching performance of ABC. The proposed method is used to provide the exact parameters from the optimized parameter values for all type of loading conditions. The parameters of induction motors are determined from the current, voltage, power loss, stray load losses and etc. The proposed technique is implemented in MATLAB platform and performance is evaluated. The performance of the proposed method is compared with ABC, FLC and integrated technique.
Keywords:
Efficiency, enhanced ABC, frequency of perturbation, GA, power factor,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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