永磁同步电机双环模型预测控制研究

微特电机 ›› 2022, Vol. 50 ›› Issue (10): 31-36.

永磁同步电机双环模型预测控制研究

胡文浩¹, 尹强¹, 孙乐², 刘国栋³

1.南京理工大学机械工程学院,南京 210094;
2.南京理工大学自动化学院,南京 210094;
3.北方自动控制技术研究所,太原 030006

收稿日期:2022-07-11 出版日期:2022-10-28 发布日期:2022-10-25
通讯作者: 尹强(1980—)通信作者,男,副教授,博士生导师,研究方向包括故障诊断、可靠性检测、电液系统和机械设计。
作者简介:胡文浩(1998—),男,硕士研究生,研究方向电机控制。孙乐(1987—),男,副教授,硕士生导师,研究方向包括伺服系统永磁电机的设计和控制、电动汽车。刘国栋(1984—),男,研究方向为通信工程。
基金资助:
国家自然科学基金项目(51907091);江苏省自然科学基金项目(BK20190467)

Research on Double Loop Model Predictive Control of PMSM

HU Wenhao¹, YIN Qiang¹, SUN Le², LIU Guodong³

1. School of Mechanical Engineeging,Nanjing University of Science & Technology, Nanjing 210094,China;
2. School of Automation, Nanjing University of Science & Technology, Nanjing 210094, China;
3. North Automatic Control Technology Research Institute, Taiyuan 030006,China

Received:2022-07-11 Online:2022-10-28 Published:2022-10-25

摘要/Abstract

摘要： 有限控制集模型预测电流控制(FCS-MPCC)算法对永磁同步电机(PMSM)的8个电压矢量进行预测计算,根据建立的成本函数选择出最优电压矢量并应用,计算量较大。针对该问题,提出一种基于先择扇区原则的改进型模型预测电流控制算法。该算法减少了计算的电压矢量数,缩减了计算时间,对微处理器的性能要求降低。将控制外环速度环的PI控制也改为模型预测控制设计了二阶扩展状态观测器,改善了速度控制的动态性能,电机的速度控制响应更快。以PMSM控制的摇臂装置为研究对象,建立仿真模型,并搭建相应的实验平台,仿真和实验验证了该算法的伺服动态响应性与稳定性。通过实验证明了双环MPC算法比双环PI算法对逆变器的损耗更小,温升更低。

关键词: 永磁同步电机, 有限控制集, 模型预测控制, 双环控制, 扩展状态观测器

Abstract: The finite control set model predictive current control (FCS-MPCC) predicts and calculates the eight voltage vectors of permanent magnet synchronous motor (PMSM). According to the established cost function, the optimal voltage vector is selected and applied, which leads to excessive calculation. To solve the problem, an improved model predictive current control (SS-MPCC, select sector MPCC)was proposed based on the principle of selecting sectors first. The algorithm decreased the number of voltage vectors to be calculated,shortened the calculation time, and reduced the performance requirements of microprocessors.The PI control that controls the outer speed loop was also changed to model predictive control(MPC).A second-order extended state observer was designed to improve the dynamic performance of speed control and make the speed control response faster. A simulation model was established by use of a rocker arm device controlled by PMSM,and the corresponding experimental verification platform was built to carry out the verification experiment. The servo dynamic response and stability of the MPC algorithm were verified by simulation and experiment.Experiments showed that the double loop MPC algorithm had lower loss and temperature rise of inverter than the double loop PI algorithm.

Key words: permanent magnet synchronous motor(PMSM), finite control set, model predictive control(MPC), double loop control, extended state observer(ESO)

中图分类号:

TM351

胡文浩, 尹强, 孙乐, 刘国栋. 永磁同步电机双环模型预测控制研究[J]. 微特电机, 2022, 50(10): 31-36.

HU Wenhao, YIN Qiang, SUN Le, LIU Guodong. Research on Double Loop Model Predictive Control of PMSM[J]. Small & Special Electrical Machines, 2022, 50(10): 31-36.

参考文献

[1] 崔弘,李艳东.永磁同步电机控制策略综述[J].防爆电机,2021,56(3):3-7.
[2] 韩振铎.永磁同步电机模型预测控制方法的研究[D].天津:河北工业大学,2017.
[3] NIU F,CHEN X,HUANG S,et al.Model predictive current control with adaptive-adjusting timescales for PMSMs[J].CES Transactions on Electrical Machines and Systems,2021,5(2):108-117.
[4] SAEED M S R,SONG W,YU B,et al.Low-complexity deadbeat model predictive current control for open-winding PMSM drive with zero-sequence current suppression[J].IEEE Transactions on Transportation Electrification,2021,7(4):2671-2682.
[5] ZHANG Y,HUANG L,XU D,et al.Performance evaluation of two-vector-based model predictive current control of PMSM drives[J].Chinese Journal of Electrical Engineering,2018,4(2):65-81.
[6] WANG Y B ,HU X D ,YI C ,et al.A MPC method based on the oval invariant set for PMSM speed control system[C]//2016 International Symposium on Computer,Consumer and Control (IS3C).IEEE,2016:575-578.
[7] HUANG X,PAN H,YUAN K.Speed and current control of PMSM based on double MPC[C]//7th International Forum on Electrical Engineering and Automation.IEEE,2020:300-304.
[8] YANG J,LÜ Q,LIU B,et al.ESO-based finite set model predictive current control PMSM delay compensation[C]//2020 Chinese Automation Congress (CAC).IEEE,2020:3826-3831.
[9] QU L,QIAO W,QU L.An extended state observer based sliding mode speed control for permanent magnet synchronous motors[J].IEEE Journal of Emerging and Selected Topics in Power Electronics,2020,9(2):1605-1613.
[10] TIAN C,YAN P.Sampled data adaptive ESO based composite control for nano-positioning systems[J].IEEE Access,2020(8):6358-6367.
[11] NICOLA M,NICOLA C I.Sensorless control of PMSM using backstepping control and ESO-type observer[C]//12th International Conference on Electronics,Computers and Artificial Intelligence.IEEE,2020:1-6.

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