Electromagnetic Optimization of Single-Sided Linear Induction Motors Based on the Genetic Algorithm

Abstract

The single-sided linear induction motor have been used in urban rail transit. As the core of thrust in medium-low-speed maglev train systems, its performance directly affects the traction characteristics of the train. The discontinuous structure of a single-sided linear induction motor leads to the unique phenomena with end effects. It causes eddy current effects to generate braking force, weakens the thrust of the motor, meanwhile reduces motor efficiency and power factor. As the speed increases, these phenomena will become more and more serious. In this paper, an equivalent circuit model is carried out to study the influence of different design parameters on the performance of the single-sided linear induction motor. Then, establish an appropriate multi-objective function to optimize the design parameters of the motor by using genetic algorithm. which aims to reduce the weight of motor while maximizing thrust, power factor, and efficiency. Finally, the simulation model is established by using finite element software to verify the correctness of the optimization results.