基于多采样率永磁同步电机模型预测控制  

Multi-sampling Frequency Model Predictive Control for PMSM

作　　者：赵丹[1] 徐鹏[2] 

机构地区：[1]西南交通大学,电气学院,四川成都610031 [2]重庆理工大学,电子信息与自动化学院,重庆400054

出　　处：《电力电子技术》2016年第6期61-63,67,共4页Power Electronics

基　　金：国家自然科学基金(61134001)~~

摘　　要：近年来,模型预测控制广泛应用于永磁同步电机(PMSM)控制,针对传统PMSM模型预测控制多是将模型预测控制单独改善速度环或电流环,结构复杂且电机整体改善效果受到制约的问题,设计了一种PMSM单环模型预测控制方法;针对单环模型预测控制在单采样率模式下,速度环与电流环采样频率、控制量更新频率采用相同适合速度环低采样频率,造成速度、电流、输出转矩波动的问题,结合多采样率理论进行改善。通过实验验证,设计多采样率的单环PMSM模型预测控制能够有效改善速度动态响应效果,同时抑制电流、速度、输出转矩波动。In recent years, model predictive control is widely used in permanent magnet synchronous motor（PMSM） control,due to his short response tirne,a small overshoot characteristics,The traditional model predictive control for PMSM to achieve effective control by improving the speed loop or current loop separately, its structure is complex and overall improvement in PMSM contollis restricted.This paper presents a single-loop model predictive control for the PMSM control.ln single-sampling rate mode,the sampling frequency of current and the update frequency of con- trol amount use the same low sampling frequency of speed which cause fluctuations of speed, current and output torque of the PMSM.The paper improves the fluctuations by using the multi-sampling rate theory, multirate single loop model predictive control for PMSM suppress the current,speed,the output torque ripple while improving the speed dy- namic response effectively.

关 键 词：永磁同步电机 多采样率 模型预测控制 

分 类 号：TM312[电气工程—电机]