Sliding-Mode-Based Deadbeat Predictive Current Control for PMSM Drives
Xiaoguang Zhang, Ziwei Wang, Hailong Bai
Abstract
Deadbeat predictive current control (DPCC) has become a research hotspot for permanent magnet synchronous motor (PMSM) drive systems due to its advantages of short dynamic response time and superior current tracking performance. However, the speed controller in traditional deadbeat current control usually consists of a linear proportional-integral (PI) controller, which cannot quickly limit uncertain disturbances from internal or external sources. Moreover, DPCC is more sensitive to model parameters. In order to reduce the parameter sensitivity of the DPCC method and improve the fast-limiting disturbance capability of the speed controller, a sliding-mode-based deadbeat predictive control method is presented in this article. First, the traditional DPCC is introduced; then, a variable-speed sliding-mode reaching law is designed, and a sliding-mode speed controller is developed using this law to improve the antidisturbance capability of the speed controller. Moreover, in order to suppress the negative impact of the parameter mismatches on the control performance, the parameter mismatches are considered when building the system model, and a sliding-mode-based deadbeat current controller based on the same sliding-mode reaching law as the speed controller is presented. Finally, the experimental results show that the proposed method has a better control performance.