三相异步电机电流多步预测控制方法

doi:10.19595/j.cnki.1000-6753.tces.170208

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摘要模型预测控制（MPC）具有概念简单、容易处理包含约束条件的多变量控制问题等优点,已成为电力传动领域研究的热点。针对三相异步电机磁场定向控制,研究了基于连续控制集模型预测控制的电流控制方法。首先,以同步坐标系（转子磁场定向）下电压方程为基础建立电机的增广模型,实现了电流无静差预测控制;其次,利用系统闭环极点研究了预测域长度和权重系数的确定方法,并分析了控制方法的参数鲁棒性。无静差是控制方法需要研究的基本问题,讨论了采用增广模型实现无静差预测控制的方法。确定预测域长度和权重系数是MPC设计的主要内容,重点分析了这些参数对系统闭环极点位置的影响,并讨论了这些参数的确定方法。实验结果表明,该方法能够完全替代PI调节器实现异步电机电流控制。

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	王治国
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关键词 ：模型预测控制, 三相异步电机, 电流控制, 无静差, 多步预测

Abstract：Model predictive control (MPC) has several important advantages such that concepts are very intuitive and the multivariable case with constraints can be easily considered. So, MPC has become a hot research topic in electric drives. A predictive current control method based on continuous control set MPC (CCS-MPC) is investigated in this paper for the vector control of three phase induction machine. Firstly, the augment model of three phase induction machine is established based on voltage equation in synchronous coordinate system with rotor flux orientation. After that, the offset-free predictive current control method is presented. Secondly, the determining method of horizon length and weighting factors is researched by using the closed-loop poles of the system. And then, parameter robustness of the predictive current control is discussed. This paper presents how to use the augment model to realize offset-free control which is the fundamental issue for the control method research. The paper focuses on the effect of horizon length and weighting factors on the closed-loop poles position and the determining method of these parameters. The experimental results show that the predictive current control method can completely replace PI regulator to realize asynchronous motor current control.

Key words： Model predictive control three phase induction machine current control offset free multi-steps prediction horizon

收稿日期: 2017-03-01 出版日期: 2018-05-08

PACS:	TM343
	TM921

通讯作者: 王治国男,1977年生,博士研究生,讲师,研究方向为电力电子与电气传动。E-mail：wzg13@mails.tsinghua.edu.cn

作者简介: 郑泽东男,1980年生,副教授,研究方向为高压大容量多电平变换器、高精度电机控制以及电网储能技术等。E-mail：zzd@mail.tsinghua.edu.cn

引用本文:

王治国, 郑泽东, 李永东, 李贵彬. 三相异步电机电流多步预测控制方法[J]. 电工技术学报, 2018, 33(9): 1975-1984. Wang Zhiguo, Zheng Zedong, Li Yongdong, Li Guibin. Predictive Current Control for Three Phase Induction Machine Using Multi-Steps Prediction Horizon. Transactions of China Electrotechnical Society, 2018, 33(9): 1975-1984.

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[1] Morel F, Lin-Shi Xuefang, Retif J M, et al.A comparative study of predictive current control schemes for a permanent-magnet synchronous machine drive[J]. IEEE Transactions on Industrial Electronics, 2009, 56(7): 2715-2728.
[2] Kazmierkowski M P, Malesani L.Current control techniques for three-phase voltage-source PWM converters: a survey[J]. IEEE Transactions on Industrial Electronics, 1998, 45(5): 691-703.
[3] Scoltock J, Geyer T, Madawala U K.A model predictive direct current control strategy with predictive references for MV grid-connected converters with LCL filters[J]. IEEE Transactions on Power Electronics, 2015, 30(10): 5926-5937.
[4] Rawlings J B, Mayne D Q.Model predictive control: theory and design[M]. Madison, Wisconsin: Nob Hill Publishing, LLC, 2009.
[5] 郑泽东, 王奎, 李永东, 等. 采用模型预测控制的交流电机电流控制器[J]. 电工技术学报, 2013, 28(11): 118-123.
Zheng Zedong, Wang Kui, Li Yongdong.Current controller for AC motors using model predictive control[J]. Transactions of China Electrotechnical Society, 2013, 28(11): 118-123.
[6] Gan Lu, Wang Liuping.A multi-model approach to predictive control of induction motor[C]//IECON 2011-37th Annual Conference on IEEE Industrial Electronics Society, Melbourne, VIC, 2011: 1704-1709.
[7] 张永昌, 杨海涛, 魏香龙. 基于快速矢量选择的永磁同步电机模型预测控制[J]. 电工技术学报, 2016, 31(6): 66-73.
Zhang Yongchang, Yang Haitao, Wei Xianglong.Model predictive control of permanent magnet synchronous motors based on fast vector selection[J]. Transactions of China Electrotechnical Society, 2016, 31(6): 66-73.
[8] 张永昌, 杨海涛. 异步电机无速度传感器模型预测控制[J]. 中国电机工程学报, 2014, 34(15): 2422-2429.
Zhang Yongchang, Yang Haitao.Model predictive control for speed sensorless induction motor drive[J]. Proceedings of the CSEE, 2014, 34(15): 2422-2429.
[9] Mariethoz S, Domahidi A, Morari M.High-bandwidth explicit model predictive control of electrical drives[J]. IEEE Transactions on Industry Applications, 2012, 48(6): 1980-1992.
[10] Kutasi N, Kelemen A, Imecs M.Vector control of induction motor drives with model based predictive current controller[C]//IEEE International Conference on Computational Cybernetics, Stara Lesna, 2008: 21-26.
[11] Lim C S, Levi E, Jones M, et al.FCS-MPC-based current control of a five-phase induction motor and its comparison with PI-PWM control[J]. IEEE Transactions on Industrial Electronics, 2014, 61(1): 149-163.
[12] Rodriguez J, Kazmierkowski M P, Espinoza J R, et al.State of the art of finite control set model predictive control in power electronics[J]. IEEE Transactions on Industrial Informatics, 2013, 9(2): 1003-1016.
[13] Cortés P, Kouro S, La Rocca B, et al.Guidelines for weighting factors design in Model Predictive Control of power converters and drives[C]//IEEE International Conference on Industrial Technology, Gippsland, VIC, 2009: 1-7.
[14] Davari S A, Khaburi D A, Kennel R.An improved FCS-MPC algorithm for an induction motor with an imposed optimized weighting factor[J]. IEEE Transactions on Power Electronics, 2012, 27(3): 1540-1551.
[15] Shadmand M B, Balog R S, Rub H A.Auto-tuning the cost function weight factors in a model predictive controller for a matrix converter VAR compensator[C]//IEEE Energy Conversion Congress and Exposition, Montreal, QC, 2015: 3807-3814.
[16] Mahmoudi H, Aleenejad M, Moamaei P, et al.Fuzzy adjustment of weighting factor in model predictive control of permanent magnet synchronous machines using current membership functions[C]//IEEE Power and Energy Conference at Illinois, Urbana, IL, 2016: 1-5.
[17] Geyer T, Karamanakos P, Kennel R.On the benefit of long-horizon direct model predictive control for drives with LC filters[C]//IEEE International Symposium on IEEE Energy Conversion Congress and Exposition, Pittsburgh, PA, 2014: 3520-3527.
[18] Vazquez S, Montero C, Bordons C, et al.Model predictive control of a VSI with long prediction horizon[C]//IEEE International Symposium on Industrial Electronics, Gdansk, Poland, 2011: 1805-1810.
[19] Wang Liuping, Chai Shan, Yoo D, et al.PID and predictive control of electrical drives and power converters using matlab Simulink[M]. New York, United States: John Wiley & Sons Inc, 2015.
[20] Bolognani S, Bolognani S, Peretti L, et al.Design and implementation of model predictive control for electrical motor drives[J]. IEEE Transactions on Industrial Electronics, 2009, 56(6): 1925-1936.
[21] 郑泽东, 陈宁宁, 李永东. 基于模型预测控制的异步电机弱磁控制新方法[J]. 电工技术学报, 2014, 29(3): 33-40.
Zheng Zedong, Chen Ningning, Li Yongdong.A novel flux weakening method for induction motors based on model predictive control[J]. Transactions of China Electrotechnical Society, 2014, 29(3): 33-40.
[22] Pannocchia G.Robust model predictive control with guaranteed setpoint tracking[J]. Journal of Process Control, 2004, 14(8): 927-937.