Deadbeat Predictive Current Control with Disturbance Observer for Permanent Magnet Synchronous Motor

Zhang Chuntao, Dang Ruina, Wang Yang, Zhang Chengning, Zhang Shuo

Research output: Contribution to journalConference articlepeer-review

Abstract

Deadbeat predictive current control (DPCC) is a kind of motor control method with excellent dynamic response performance. To increase the parameter robustness of DPCC, a disturbance observer (DO) is designed based on the extended Kalman filter (EKF). Firstly, this paper derives the DPCC method based on the mathematical model of permanent magnet synchronous motor (PMSM). Then, the DO is designed based on the EKF. The voltage disturbances caused by parameters mismatch are selected as the state vector, and the voltage disturbances at each time are calculated by the EKF iteratively. Thus, a novel control algorithm combining DPCC with DO is proposed. The simulation results of DPCC method are compared with the results of DPCC+DO method to verify the effectiveness of the proposed method.

Original languageEnglish
Article number012015
JournalIOP Conference Series: Materials Science and Engineering
Volume853
Issue number1
DOIs
Publication statusPublished - 11 Jun 2020
Event6th International Conference on Electrical Engineering, Control and Robotics, EECR 2020 - Xiamen, China
Duration: 10 Jan 202012 Jan 2020

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