Adaptive Field-Oriented Control of Permanent Magnet Synchronous Motor Using Feedfoward Actions

Abstract

This paper proposes a method for estimating the mechanical parameters of a Permanent Magnet Synchronous Motor (PMSM) using the Forgetting Factor Recursive Least Squares (RLS) algorithm. The estimated parameters are used to perform adaptive feedforward control actions, as the mechanical parameters of a PMSM tend to change with varying loads and speed. The simulation of the proposed technique is carried out using MATLAB/Simulink® under different conditions. The results demonstrate the accuracy of the technique in estimating the mechanical parameters and enhancing the performance of the drive. The proposed technique offers a promising solution to control PMSMs under dynamic conditions and can be useful in various industrial applications. The methodology, simulation setup, and results are presented in this paper.