Improving the Efficiency and Power Factor of Induction Motor using Enhanced ABC with Aid of GA

N. Anbalagan ； S. Chenthur Pandian

《Research Journal of Applied Sciences, Engineering and Technology》 7卷24期 (2014/06) Pp. 5119-5128

並列摘要

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.

並列關鍵字

Efficiency ； enhanced ABC ； frequency of perturbation ； GA ； power factor