Enhanced Deadbeat Predictive Current Control for PMSM Drives Using Iterative Sliding Mode Observer
Jiaxin Lei, Shuhua Fang, Demin Huang, Yicheng Wang
Abstract
The article proposes an enhanced deadbeat predictive current control for the permanent-magnet synchronous motor using an iterative sliding mode observer to improve the current control accuracy. The inevitable deadtime and distortion of flux linkage will lead to large periodic current ripples related to the speed, which may degrade the performance of the motor control. To overcome these problems and improve the robustness of the controller, the iterative learning control (ILC) and sliding mode observer are combined, and feedforward to the deadbeat controller for prediction accuracy improvement. Moreover, in order to satisfy the requirements of the variable speed operation of the motor, the ILC is enhanced to achieve spatial learning ability. Experimental results are finally implemented on STM32-based platform to validate the effectiveness of the proposed method for current ripples suppression and adaptability to variable speed.