摘要
针对传统磁轴承模型预测控制系统中电感参数失配对电流预测精度的影响,本文以永磁偏置磁轴承为研究对象,提出了一种考虑参数失配的磁轴承模型预测控制策略。首先分析了磁轴承驱动电路三电平调制原理;然后基于混合逻辑动态模型设计了磁轴承模型预测控制器,并引入滑模观测器计算出一个控制周期内所有开关状态对应的电流预测误差;最终得到的预测电流误差进一步校正预测模型,实现在参数失配时对预测模型的修正,保证参数失配时电流预测精度,进而提升控制系统性能。仿真与实验结果表明,相较于传统模型预测控制策略,采用本文策略的控制系统在发生电感参数失配时,稳态电流纹波降低,负载变化工况下的控制系统动态性能也更优。
Aiming at the influence of inductor parameter mismatch on current prediction accuracy in the traditional model prediction control system for magnetic bearings,this study proposes a model prediction control strategy for magnetic bearings that considers a parameter mismatch with magnetic bearings with permanent magnet bias as the research object.First,the three-level modulation principle of the drive circuit for magnetic bearings is analyzed.Then,the model predictive controller for magnetic bearings is designed based on the mixed logic dynamic model,and a sliding mode observer is introduced to calculate the current prediction errors corresponding to all switching states in one control cycle.Finally,the prediction current errors are further calibrated to correct the prediction model in the event of parameter mismatch.Then,the current prediction accuracy is guaranteed in the event of parameter mismatch.The simulation and experimental results show that the current prediction error of the current mismatch state corresponds to the current prediction error.The simulation and experimental results show that compared with the traditional model prediction control strategy,this study presents a lower current ripple and a higher current prediction accuracy.
作者
袁野
郭仲男
杨帆
朱俊俊
YUAN Ye;GUO Zhongnan;YANG Fan;ZHU Junjun(School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China)
出处
《电工电能新技术》
北大核心
2025年第8期52-60,共9页
Advanced Technology of Electrical Engineering and Energy
基金
国家自然科学基金项目(52377053)
江苏省重点研发计划项目(BE2021094)
江苏省优势学科建设工程(PAPD-2018-87)。
关键词
磁轴承
模型预测控制
参数失配
滑模观测器
magnetic bearing
model predictive control
parameter mismatch
sliding mode observer
