基于预测误差补偿的PMSM预测电流控制
Predictive Current Control of PMSM Based on Predictive Error Compensation
罗波 1周羽 1李明贤 2杨小宝 1曾成碧1
作者信息
- 1. 四川大学电气工程学院,成都 610065
- 2. 淄博京科电气有限公司,淄博 255086
- 折叠
摘要
为解决永磁同步电机(permanent magnet synchronous motor,PMSM)模型预测电流控制(model predictive control,MPC)参数鲁棒性差的问题,提出一种电流预测误差的补偿策略.首先,引入PMSM局部模型,并采用滑模观测器得到局部模型变量;其次,利用局部模型在一个控制周期内计算出所有电压矢量对应的电流预测误差;最后,采用估计的电流预测误差在线修正预测模型,保证在参数扰动时的预测电流精度.仿真结果证明,相比于传统的MPC,所提出的方法几乎不再受模型参数的影响,在确保控制性能的前提下有效地提高参数鲁棒性.
Abstract
To address the problem of poor parameter robustness in mode predictive current control of per-manent magnet synchronous motor,this paper proposes a compensation strategy for current prediction er-rors.Firstly,the PMSM local model is introduced and the local model variables are obtained using a sliding mode observer.Secondly,the local model is used to calculate the current prediction error corresponding to all voltage vectors within a control cycle.Then,the estimated current prediction error is used to online cor-rect the prediction model,ensuring the accuracy of the predicted current in case of parameter disturbances.Finally,the simulation results demonstrate that compared to traditional MPC,the proposed method is almost no longer affected by model parameters and effectively improves parameter robustness while ensuring con-trol performance.
关键词
永磁同步电机/模型预测控制/电流预测误差/滑模观测器/参数鲁棒性Key words
model predictive control/permanent magnet synchronous motors/predicted current errors/slid-ing mode observer/parameter robustness引用本文复制引用
基金项目
国家自然科学基金(52107054)
山东省自然科学基金(ZR2022QE279)
电磁能技术全国重点实验室资助课题(6142217210202)
出版年
2024
NETL
NSTL
维普
万方数据