Model Predictive Control of Permanent-Magnet Synchronous Motor with Disturbance Observer

被引：2
|
作者：
Zou, Mengxue [1 ]
Wang, Shuang [1 ]
Liu, Mengqi [1 ]
Chen, Kang [1 ]
机构：
[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China
来源：
2019 IEEE INTERNATIONAL SYMPOSIUM ON PREDICTIVE CONTROL OF ELECTRICAL DRIVES AND POWER ELECTRONICS (PRECEDE 2019) | 2019年
关键词：
permanent magnet synchronous motor (PMSM); Continuous control set model predictive control (CCS-MPC); parameter mismatch;
D O I：
10.1109/precede.2019.8753245
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Model predictive control (MPC) is a high-performance permanent magnet synchronous motor (PMSM) control system capable of handling constrained multi-objective optimization, while providing excllent dynamic response capability. However, the traditional MPC scheme is sensitive to the system model. Thus the Luenberger state observer is designed to survey the stator current and disturbance based on continuous control set MPC, and is applied to compensate and improve the current controller. This method verifies its validity and correctness by MATLAB simulation.
引用
收藏
页码：148 / 153
页数：6
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