Research On Torque Ripple Suppression Of Built-in V-type Permanent Magnet Synchronous Motor Based On Improved TO Algorithm

With the development of permanent magnet material and relevant motor control technology,the permanent magnet synchronous motor has been widely used in industrial control field and electric vehicles due to its numerous advantages of simple structure,easy maintenance and high energy density.Because the permanent magnet synchronous motor adopts the permanent magnet excitation and the power motivation has nonlinearity,the harmonic wave of the exciting current and air gap flux density will cause the motor to generate a large number of harmonic torques,at the same time,when there is no current excitation,there is the interaction between the permanent magnet and the stator teeth,it also produces cogging torque,the cogging torque and harmonic torque can make the output torque of the motor generate the ripple,for the permanent magnet synchronous motor requiring high precision control and long working hours,the weakening of the torque ripple has become a problem that must be considered.In order to weaken the torque ripple of the permanent magnet synchronous motor,it is a simple and effective method in accordance with the mechanical structure parameters of the motor.The influence of each structural parameter on the motor performance index has the characteristics of strong coupling and nonlinearity,therefore,it is very difficult to get the accurate mathematical relationship between the performance index and the structure parameters,in order to speed up the design process of the motor,it is a meaningful job to choose the proper interpolation mode and intelligent optimization algorithm are to optimize the performance of the motor.This paper adopts the finite element analytical method of the electromagnetic field to establish the simulation model analysis for a built-in V-type permanent magnet synchronous motor,the structural parameters which have great influence on the motor cogging torque and electromagnetic torque ripple are obtained,and it focuses on several parameters influencing on the cogging torque,the electromagnetic torque ripple,the air gap flux density distribution and the average output torque.Then the paper introduces the Twitter Optimization algorithm(TO)and analyzes the realization theory of this algorithm,compares and analyzes the influence of different parameters in the algorithm on its convergence performance as well.For TO algorithm with the problem of too long platform period in the process of convergence,the ‘imitation’ link is added on the basis of the original TO algorithm,the new updating method of solution vector is given,and the improved TO algorithm with faster convergence speed is proposed.Finally,the orthogonal test and the method of support vector regression(SVR)have been used to complete the fitting of the objective function,the objective function has been brought into the improved TO algorithm for optimization and compared with the torque performance before optimization,the improved parameter combination can weaken the cogging torque to a certain extent,reduce the degree of output torque ripple,and improve the torque performance of the motor.