Efficiency Optimization of Induction Motor Based on Levy Flight Particle Swarm Optimization
Asynchronous motor is widely used in various industries,usually asynchronous motor only works in the case of close to the rated load and will run at maximum efficiency.However,most asynchronous motors operate at 50％ to 100％ of their rated load,resulting in serious energy waste.The use of the golden section method for induction motor efficiency optimization is a more common method,but its existence of slow response speed and other shortcom-ings,in order to make up for the shortcomings of the golden section method,the paper proposes a particle swarm opti-mization algorithm and a Levi flight particle swarm optimization algorithm to improve the response speed of the motor model.The optimization algorithm solves the problems of low optimization accuracy and long convergence time in a-synchronous motor efficiency optimization.Finally,the feasibility of the scheme is demonstrated by building a MAT-LAB/Simulink simulation model.It shows that the optimization algorithm is an effective optimization control strategy.
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