|本期目录/Table of Contents|

[1]李 璐,刘 远,周宇航.永磁同步电机鲁棒模型预测控制技术综述[J].工业仪表与自动化装置,2020,(05):11-15.[doi:1000-0682(2020)05-0000-00]
　LI Lu,LIU Yuan,ZHOU Yuhang.Review of robust model predictive control technology for permanent magnet synchronous motors[J].Industrial Instrumentation & Automation,2020,(05):11-15.[doi:1000-0682(2020)05-0000-00]
点击复制

永磁同步电机鲁棒模型预测控制技术综述

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2020年05期
页码:
11-15
栏目:
出版日期:
2020-10-15

文章信息/Info

Title:
Review of robust model predictive control technology for permanent magnet synchronous motors
作者:
李 璐 1; 刘 远 2; 周宇航 1
1. 西安工业大学 电子与信息工程学院， 西安 710021；
2. 西北工业大学 自动化学院，西安 710129
Author(s):
LI Lu1;  LIU Yuan2;  ZHOU Yuhang1
1. Xi’an Technological University, Xi’an 710021,China;?div>2.Northwest Polytechnic University,Xi’an 710021, China
关键词:
永磁电机; 模型预测控制; 鲁棒性
Keywords:
PMSM;  model predictive control;  robustness
分类号:
TM341 TM351
DOI:
1000-0682(2020)05-0000-00
文献标志码:
A
摘要:
相比传统控制技术，永磁同步电机模型预测控制可以得到更好的控制效果。但电机在实际应用过程中难免存在外部干扰、内部参数变化等问题，造成电机模型预测控制预测模型不精确，进而导致电机控制性能恶化。近年来，围绕电机模型预测控制鲁棒性的研究众多，但大都较为分散。该文先分析永磁同步电机的不确定性因素对模型预测控制的影响，然后从预测模型改进、干扰估计补偿、在线参数估计3个方面来分析与讨论鲁棒模型预测控制技术。
Abstract:
Compared with traditional control technology, PMSM model predictive control can get better control effect. However, in the actual working process of the motor, there are external interference, internal parameter changes and other problems, resulting in the motor model prediction control prediction model is not accurate, and then lead to the deterioration of the motor control performance. In recent years, there are many researches on the robustness of predictive control of motor models, but most of them are scattered. This paper firstly analyzes the influence of the uncertainty factors on the model predictive control of PMSM. Then the predictive control technology of robust model is analyzed and discussed from three aspects: prediction model improvement, disturbance estimation compensation and online parameter estimation.

参考文献/References:

[1] LINARES-FLORES J, GARCIA RODRIGUEZ C, SIRA- RAMIREZ H, et al. Robust backstepping tracking controller for low speed PMSM positioning system: Design, analysis and implementation[J].IEEE Transactions on Industrial Informatics ,2015,11(5): 1130-1141.

[2] 乔峰.永磁同步电机驱动系统几类自适应控制策略研究[D].济南:山东大学,2018.?/div>
[3] 王浩坤,徐祖华,赵均,等.无偏模型预测控制综述[J/OL].自动化学报,2020,46(05):858-877[2020-04-21].https://doi.org/10.16383/j.aas.c180415.
[4] 柳志飞,杜贵平,杜发达.有限集模型预测控制在电力电子系统中的研究现状和发展趋势[J].电工技术学报,2017,32(22):58-69.
[5] AHMED O S, PAOLO P, ALI A H A, et al. Parameter identification and self-commissioning in AC motor drives: a technology status review[J].IEEE Transactions on Power Electronics,2018,34(5): 3603-3614.
[6] 张宪民, 陈忠. 机械工程概论[M]. 武汉:华中科技大学出版社,2015.
[7] 李俊民,李靖,杜彩霞.线性控制系统理论与方法[M].西安: 西安电子科技大学出版社,2009.
[8] ZHANG X, LI Z. Sliding mode observer based mechanical parameter estimation for permanent magnet synchronous motor[J].IEEE Transactions on Power Electronics,2016, 31(8):5732-5745.?/div>
[9] LI S, GU H. Fuzzy adaptive internal model control schemes for PMSM speed regulation system[J].IEEE Transactions on Industrial Informatics, 2012,8(4):767-779.
[10] RASHED M, STRONACH A F. A stable back-EMF MRAS-based sensorless low speed induction motor drive insensitive to stator resistance variation[J].IEE Proceedings-Electric Power Applications,2004,151(6): 685-693.?div>[11] 沈建新,李鹏,郝鹤,等.高速永磁无刷电机电磁损耗的研究概况[J].中国电机工程学报,2013,33(03):62-74+14.?/div>
[12] YAMAZAKI K, KATO Y. Optimization of high-speed motors considering centrifugal force and core loss using com-bination of stress and electromagnetic field Analyses[J]. IEEE Transactions on Magnetics,2013,49(5):2181-2184.?div>[13] LEE K, LEE H, LEE J, et al. Analysis of motor performance according to the inductance design of IPMSM[J].IEEE Transactions on Magnetics,2015,51(3):1-4.
[14] XIA C L, XIAO Y W, CHEN W, et al. Torque ripple reduction in brushless DC drives based on reference current optimiza-tion using integral variable structure control[J].IEEE Transactions on Power Electronics,2014,61(2):738-752.?div>[15] LI H, LI X, ZHAO K, et al. Influence of magnetic structure on electromagnetic and dynamic properties for LPMBLDCM[J].IEEE Transactions on Plasma Science, 2015,43(5):1277-1282.?div>[16] 黄翯,徐凤星,谭剑中.SVPWM死区时间补偿在风机控制中应用[J].电力电子技术,2011,45(10):120-121+124.?/div>
[17] 蔡志端,王培良,荀倩,等.永磁同步电机相电流测量误差分析与补偿[J].电工技术学报,2016,31(23):22-30.
[18] YANG M, LANG X, LONG J, et al. Flux immunity robust Predictive current control with incremental model and extended state observer for PMSM drive[J].IEEE Transactions on Power Electronics,2017,32(12):9267-9279.
[19] ZHANG X, ZHANG L, ZHANG Y. Model predictive current control for PMSM drives with parameter robustness improvement[J]. IEEE Transactions on Power Electronics, 2018, 34(2):1645-1657.?div>[20] 陈虹. 模型预测控制[M].北京:科学出版社,2013.?/div>
[21] 陈卓易,邱建琪,金孟加.永磁同步电机有限集无参数模型预测控制[J].电机与控制学报,2019,23(01):19-26.?/div>
[22] ZHANG Y, JIN J,L Huang.model-free predictive current control of PMSM drives based on extended state observer using ultra-local model[J].IEEE Transactions on Industrial Electronics,2020,PP(99):1-1.
[23] ZHOU Y, LI H, LIU R, et al. Continuous voltage vector model-free predictive current control of surface mounted permanent magnet synchronous motor[J].IEEE Transactions on Energy Conversion,2019,34(2):899-908.?/div>
[24] YANG J, CHEN W H, LI S, et al. Disturbance/uncertainty estimation and attenuation techniques in PMSM drives–a survey[J].IEEE Transactions on Industrial Electronics, 2017,64(4): 3273-3285.
[25] YAN L, DOU M, HUA Z. Disturbance compensation based model predictive flux control of spmsm with optimal duty cycle[J].IEEE Journal of Emerging and Selected Topics in Power Electronics,2019,7(3):1872-1882.
[26] JIA C, WANG X, LIANG Y, et al. Robust current controller for IPMSM drives based on explicit model predictive control with online disturbance observer[J].IEEE Access,2019,19(7):45898-45910.?div>[27] SHAO M, DENG Y, LI H, et al. Robust speed control for permanent magnet synchronous motors using a generalized predictive controller with a high-order terminal sliding-mode observer[J].IEEE Access,2019,19(7): 121540-121551.
[28] WANG J, WANG F, WANG G, et al. Generalized proportional integral observer based robust finite control set predictive current control for induction motor systems with time-varying disturbances[J].IEEE Transactions on Industrial Informatics,2018,14(9):4159-4168.?/div>
[29] 滕青芳,崔宏伟,朱建国,等. 基于无电流传感器的永磁同步电机系统模型预测控制[J].电机与控制学报,2019, 23(05):119-128.?div>[30] YUAN X, ZHANG S, ZHANG C. Improved model predictive current control for SPMSM drives with parameter mismatch[J].IEEE Transactions on Industrial Electronics, 2020,67(2), 852-862.?
[31] CHENG L, TSAI M.Enhanced model predictive direct torque control applied to IPM motor with online parameter adaptation[J].IEEE Access,2020,20(8): 42185-42199.

相似文献/References:

[1]黄 飞.先进过程控制典型效益分析[J].工业仪表与自动化装置,2016,(02):123.
　HUANG Fei.Economic assessment of advanced process control system[J].Industrial Instrumentation & Automation,2016,(05):123.
[2]陈若珠,何 婷,常 勇.永磁同步电机模型预测控制的现状与发展[J].工业仪表与自动化装置,2017,(03):20.
　CHEN Ruozhu,HE Ting,CHANG Yong.Present situation and prospect of model predictive control application in permanent magnet synchronous motor[J].Industrial Instrumentation & Automation,2017,(05):20.
[3]王婷婷,张 巍,赵 雄,等.智能优化技术在空分装置上的应用[J].工业仪表与自动化装置,2020,(04):70.[doi:1000-0682(2020)04-0000-00]
　WANG Tingting,ZHANG Wei,ZHAO Xiong,et al.Application of intelligent optimization technology in the air separation unit[J].Industrial Instrumentation & Automation,2020,(05):70.[doi:1000-0682(2020)04-0000-00]
[4]臧春华,张帅杰,苏宝玉.模型预测控制约束自适应研究[J].工业仪表与自动化装置,2022,(05):116.[doi:10.19950/j.cnki.cn61-1121/th.2022.05.021]
　ZANG Chunhua,ZHANG Shuaijie,SU Baoyu.Research on constraint adaptation of model predictive control[J].Industrial Instrumentation & Automation,2022,(05):116.[doi:10.19950/j.cnki.cn61-1121/th.2022.05.021]

备注/Memo

备注/Memo:
收稿日期：2020-03-06
作者简介：李璐(1995)，女，陕西汉中人，硕士研究生，研究方向为永磁同步电机模型预测电流控制方面。
更新日期/Last Update: 1900-01-01