永磁同步电动机模型预测控制

Model Predictive Control for Permanent Magnet Synchronous Motor

提出永磁同步电动机(PMSM)调速系统模型预测控制(MPC)设计方法。针对PMSM调速系统的非线性特点,提出一种新的PMSM调速系统离散线性模型,便于对系统设计多变量控制器。利用新的PMSM调速系统离散线性模型,结合MPC具有的处理多变量系统和系统约束条件的优点,提出用一个MPC控制器代替传统矢量控制中速度和电流双闭环控制结构以及针对输入约束条件的抗饱和回路的设计思路。新设计方法极大地简化了系统结构,提高了系统的可控性。最后,通过仿真对采用传统抗饱和技术的矢量控制方法与MPC进行比较,MPC在多变量系统和多变量约束条件下,表现出明显的应用优势及潜力。仿真结果表明MPC控制PMSM调速系统结构简单,计算量小,静、动态性能优异。

A design method on permanent magnet synchronous motor （PMSM） speed control system controlled by model predictive control （MPC） is proposed.Based on the properties of nonlinear PMSM speed control system,the novel discrete linear model is presented and is favorable to design multivariable controller.Based on the advantages of efficiently dealing with the multivariable system and constraints of variables of MPC,the double closed-loop structure on speed and current with the space vector modulation （SVM） in PMSM speed control system is replaced by sole MPC with the novel discrete linear model.The structure of PMSM speed control system is simplified significantly and the reliability is improved.With contrast to SVM based on Anti-Windup method,The MPC has the application superiorities and potential for multi-variable system and constraints of variables included.The simulation results verify that the PMSM speed control system with MPC has simple structure,small calculation demand,excellent static and dynamic performance.