面向永磁同步电动机转动惯量辨识的积分变换朗道离散方法

Integral Transformation Landau Discretization Method for PMSM Moment of Inertia Identification

永磁同步电动机(PMSM)的转动惯量识别对于其高性能控制至关重要,传统的朗道离散时间法的转动惯量辨识方法可以实现对于转动惯量较高精度的识别,但是当采集到的数据有噪声存在时,其辨识精度会有明显的下降。文中提出一种基于积分变换对朗道离散时间法进行优化的方法,可以显著提高当数据存在噪声时辨识转动惯量的精度。

The inertia Identification of permanent magnet synchronous motor(PMSM)is very crucial to its high-performance control.Traditional Landau discrete-time method can identify the inertia with high accuracy,however,when there is noise in the collected data,the identification accuracy will be significantly reduced.This paper proposes an optimization method of Landau discrete time method based on integral transformation,which can significantly improve the accuracy of identifying moment of inertia when there is noise in the data.