Optimal design of equivalent linear induction motor based on Taguchi algorithm and analysis using finite element method

Abstract

Linear Induction motors (LIM) are widely used in industrial applications, especially in linear motion locomotive systems. These applications require high efficiency with good power factor. Mostly LIM suffer from low power factor and less efficiency. Due to this energy consumption is high and also it draws more input current. In this paper, a novel multi objective Taguchi algorithm (TA) is proposed to meet required efficiency and power factor in the design of a Linear Induction Motor. Hence, LIM dimensions can then be optimized by using a TA in an appropriate objective functions. 2- D Finite Element Method is adopted to analyze the flux density in LIM with the parameters obtained using TA. From the results it is observed that the proposed algorithm outperforms the Genetic algorithm (GA) and Particle swarm optimization (PSO) with respect to the power factor and efficiency.