Approximate Modeling of Gear Torque of Permanent Magnet Synchronous Motor Based on Improved Latin Hypercube Sampling

Abstract

Aim at there are lot of influence factors of the cogging torque of permanent magnet synchronous motor, the orders of magnitude are difference, the approximation modeling error is large, this paper put forward a kind of strong applicability approximate modeling method, can be used for all kinds of motor, namely the isometric cross complementary sampling method, improve the Latin hypercube sampling, improves the approximate model of permanent magnet synchronous motor cogging torque accuracy. In this paper, main influencing factors of cogging torque are determined. Firstly, the initial approximation model was established by the traditional Latin hypercube sampling and Kriging method, and the value range of the input parameters of the sample points whose approximate calculation error exceeded a certain threshold in the sensitivity analysis sample points was obtained. The training set was expanded based on the isometric cross-sampling method, and the calculation accuracy of the approximate modeling was improved. Taking the permanent magnet synchronous motor (PMSM) cogging torque as an example, the method presented in this paper is used for approximate modeling to achieve better calculation accuracy and verify the effectiveness of the method, which lays a foundation for the consistency optimization of PMSM cogging torque.