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.Keywords: Linear Induction motor, dynamical model, Taguchi Algorithm, FEM analysis.
IntroductionLinear Induction motor is a special conventional rotary motor that is in use to achieve rectilinear motion rather than rotational motion. Linear Induction Motors are usually preferred for achieving linear propulsion in variety of applications due to easy maintenance, high acceleration or deceleration and produce a direct thrust without any conversion of energy. This increases efficiency, the useful life of the system and reduces maintenance costs [1]. Dr. Luciano Martins Neto [2] developed a linear induction motor phase parameter through the process of obtaining voltage and currents at the machine terminals experimentally using determination method. K. Davey [3] proposed Pulsed linear induction motors in Maglev applications to eliminate low power factor, power transfer, smaller end winding overhang, and simpler electronics.Hofmann [4] investigated applications of a linear induction machine in railways with different coil and slot geometries. Due to noncontact operation and quick response a LIM employed experimentally in steel making plant, electromagnetic force applications to obtain high quality and high productivity in Fujisaki [5]. J.R. Wells [6] presented a linear induction motor design and mount system that are suitable for integration into an educational laboratory. Junha Kim [7] developed constrained optimization technique to reduce the attractive force and power loss strategy in a LIM for personal rapid transit (PRT) systems. H. Amirkhani [8] proposed PC based thrust estimating algorithm for LIM to control thrust, flux and also to eliminate the system from the speed measuring equipment. Haruo Noma [9] designed a digital Proactive desk with Haptic feedback to improve performance of single sided LIM and also to generate a force of more than 10 N in any direction. T.C.O. Connell [10] re-explores first-principles LIM design by implementing continuum electromechanical models.Jianqiang Liu [11] developed loss minimize control algorithm to reduce the total copper and iron losses in variable speed and/or thrust force LIM drive by considering ...