针对永磁同步电机的解耦预测转矩控制策略研究及其无位置传感器对比分析

doi:10.19595/j.cnki.1000-6753.tces.L80694

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摘要首先,针对传统预测转矩控制磁链和转矩脉动较大、开关频率不固定等问题,将一种占空比调制方法应用于传统预测转矩控制中以改善其控制性能。其次,针对传统预测转矩控制加入占空比调制后算法仍较复杂的问题,基于定子磁链坐标系对磁链和转矩实现完全解耦,并将转矩误差转换为电压矢量作用时间,消除了权重系数,加入占空比调制实现了一种更为简单的预测转矩控制。此外,针对模型参考自适应观测器参数鲁棒性差、滑模观测器开关抖振大等问题设计了自适应滑模观测器,将其应用于优化后的预测转矩控制中,比较了滑模观测器和自适应滑模观测器的稳定性和参数鲁棒性。最后,通过仿真分析证明所提算法以及自适应滑模观测器的优越性。

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关键词 ：预测转矩控制, 磁链和转矩脉动, 占空比调制, 滑模观测器, 自适应滑模观测器

Abstract：Firstly, in order to solve the problems of traditional predict torque control with large flux and torque ripples, unfixed switching frequency, etc., a duty cycle modulation method based on the traditional predict torque control is proposed to improve the control performance. Secondly, in view of the complexity of the traditional predictive torque control with duty cycle modulation, the flux and torque are completely decoupled based on the stator flux coordinate system. Then, a simpler predictive torque control strategy with duty cycle modulation is proposed, which eliminates weight coefficient and converts torque error into the action time of voltage vector. Thirdly, an adaptive sliding mode observer is designed for solving the problems of poor robustness of model reference adaptive system and large-scale switch chattering of the sliding mode observer. The sliding mode observer and adaptive sliding mode observer are applied to the optimized predict torque control and the stability and parameter robustness of two observers are compared. Finally, the superiority of the proposed strategy and adaptive sliding mode observer are verified by simulation studies.

Key words： Predict torque control flux and torque ripples duty cycle modulation sliding mode observer adaptive sliding mode observer

收稿日期: 2018-07-09 出版日期: 2019-02-15

PACS:

TM351

通讯作者: 连广坤男,1988年生,博士,助理研究员,研究方向为电机设计及电机控制技术。E-mail: lianguangkun@mail.iee.ac.cn

作者简介: 班斐男,1994年生,博士研究生,研究方向为永磁同步电机直接转矩控制技术。E-mail: banfei@mail.iee.ac.cn

引用本文:

班斐, 连广坤, 陈彪, 顾国彪. 针对永磁同步电机的解耦预测转矩控制策略研究及其无位置传感器对比分析[J]. 电工技术学报, 2018, 33(zk2): 401-410. Ban Fei, Lian Guangkun, Chen Biao, Gu Guobiao. Comparative Analysis of Sensorless Control Methods Based on the Decoupling Predictive Torque Control Strategy for Permanent Magnet Synchronous Motor. Transactions of China Electrotechnical Society, 2018, 33(zk2): 401-410.

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[1] Ma Jihua, Zhao Jin, Sun Jiajiang, et al.A novel PMSM speed control scheme based on sliding-mode and fuzzy disturbance observer[C]//Conference of the IEEE Industrial Electronics Society, Beijing, China, 2017: 1704-1710.
[2] Feng G, Lai C, Kar N.A closed-loop fuzzy logic based current controller for PMSM torque ripple minimization using the magnitude of speed harmonic as the feedback control signal[J]. IEEE Transactions on Industrial Electronics, 2017, 64(4): 2642-2653.
[3] 尹忠刚, 张迪, 蔡剑, 等. 基于三自由度内模控制的永磁同步电机矢量控制方法[J]. 电工技术学报, 2017, 32(21): 55-64.
Yin Zhonggang, Zhang Di, Cai Jian, et al.A vector control method based on three-degree-of-freedom internal model control for permanent magnet synchronous motor[J]. Transactions of China Electrotechnical Society, 2017, 32(21): 55-64.
[4] Sun Sizhou, Guo Xingzhong, Lu Huacai, et al.Direct torque control for permanent magnet synchronous motors based on novel control strategy[C]//Final Program and Book of Abstracts of the 2010 International Conference on Life System Modeling and Simulation & 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment, Wuxi, China, 2010: 433-441.
[5] Isao Takahashi, Toshihiko Noguchi.A new quick response and high efficiency control strategy of an induction motor[J]. IEEE Transactions on Industrial Applications, 1986, 22(5): 820-825.
[6] 陈炜, 艾士超, 谷鑫. 基于最小电压矢量偏差的永磁同步电机直接转矩控制[J]. 电工技术学报, 2015, 30(14): 116-121.
Chen Wei, Ai Shichao, Gu Xin.Direct torque control for permanent magnet synchronous motor based on minimum vector deviation[J]. Transactions of China Electrotechnical Society, 2015, 30(14): 116-121.
[7] Bolognani S, Calligaro S, Petrella R, et al.Sensorless control of IPM motors in the low-speed range and at standstill by HF injection and DFT processing[J]. IEEE Transactions on Industry Applications, 2011, 47(1): 96-104.
[8] Su Chenyun, Yang Xiangyu.Torque ripple reduction and generation of permanent magnet synchronous based on direct torque control[J]. Micromotors, 2010, 43(3): 81-84.
[9] 徐艳平, 李园园, 张保程, 等. 一种消除权重系数三矢量模型预测转矩控制[J]. 电工技术学报, 2018, 33(16): 3925-3934.
Xu Yanping, Li Yuanyuan, Zhang Baocheng, et al.Three-vector based model predictive torque control of eliminating weighting factor[J]. Transactions of China Electrotechnical Society, 2018, 33(16): 3925-3934.
[10] 夏长亮, 张天一, 周湛清, 等. 结合开关表的三电平逆变器永磁同步电机模型预测转矩控制[J]. 电工技术学报, 2016, 31(20): 83-92, 110.
Xia Changliang, Zhang Tianyi, Zhou Zhanqing, et al.Model Predictive torque control with switching table for neutral point clamped three-level inverter-fed permanent magnet synchronous motor[J]. Transa- ctions of China Electrotechnical Society, 2016, 31(20): 83-92, 110.
[11] 张海洋, 许海平, 方程, 等. 基于比例积分-准谐振控制器的直驱式永磁同步电机转矩脉动抑制方法[J]. 电工技术学报, 2017, 32(19): 41-51.
Zhang Haiyang, Xu Haiping, Fang Cheng, et al.Torque ripple suppression method of direct-drive permanent magnet synchronous motor based on proportional-integral and quasi reasonant controller[J]. Transactions of China Electrotechnical Society, 2017, 32(19): 41-51.
[12] 周湛清, 夏长亮, 陈炜, 等. 具有参数鲁棒性的永磁同步电机改进型预测转矩控制[J]. 电工技术学报, 2018, 33(5): 965-972.
Zhou Zhanqing, Xia Changliang, Chen Wei, et al.Modified predictive torque control for PMSM drives with parameter robustness[J]. Transactions of China Electrotechnical Society, 2018, 33(5): 965-972.
[13] Lee B K, Blaabjerg F.An improved DTC-SVM method for sensorless matrix converter drives using an overmodulation strategy and a simple nonlinearity compensation[J]. IEEE Transactions on Industrial Electronics, 2007, 54(6): 3155-3166.
[14] Inoue Y, Morimoto S, Sanada M.Examination and linearization of torque control system for direct torque controlled IPMSM[J]. IEEE Transactions on Industry Applications, 2010,46(1): 159-166.
[15] Foo G, Rahman M F.Sensorless direct torque and flux-controlled IPM synchronous motor drive at very low speed without signal injection[J]. IEEE Transa- ctions on Industrial Electronics, 2010, 57(1): 395-403.
[16] Kouro S, Cortes P, Vargas R, et al.Model predictive control—a simple and powerful method to control power converters[J]. IEEE Transactions on Industrial Electronics, 2009, 56(6): 1826-1838.
[17] Zhu H, Xiao Xi, Li Yongdong.Torque ripple reduction of the torque predictive control scheme for permanent-magnet synchronous motors[J]. IEEE Transactions on Industrial Electronics, 2012, 59(2): 871-877.
[18] Xia Changliang, Qiu Xudong, Shi Tingna.Predictive Torque control based on optimal operating time of vector[J]. Proceedings of the CSEE, 2016, 36(11): 3045-3053.
[19] Rojas C, Rodriguez J, Villarroel F.Predictive torque and flux control without weighting factors[J]. IEEE Transaction on Industrial Electronics, 2013, 60(2): 681-690.
[20] Holtz J.Sensorless control of induction machines: with or without signal injection[J]. IEEE Transa- ction on Industrial Electronics, 2005, 53(1): 7-30.
[21] Lascu C, Andreescu G D.Sliding-mode observer and improved integrator with DC-offset compensation for flux estimation in sensorless controlled induction motors[J]. IEEE Transaction on Industrial Electronics 2006, 53(3): 785-794.
[22] 陈炜, 张志伟. 基于自适应滑模观测器的永磁同步电机无位置传感器控制[J]. 电工电能新技术, 2016, 35(8): 8-14.
Chen Wei, Zhang Zhiwei.A position sensorless control strategy for PMSM based on adaptive sliding mode observer[J]. Advanced Technology of Elec- trical Engineering and Energy, 2016, 35(8): 8-14.
[23] Zaky M S, Metwally M K, Azazi H.A new adaptive smo for speed estimation of sensorless induction motor drives at zero and very low frequencies[J]. IEEE Transaction on Industrial Electronics, 2018, 65(9): 6901-6911.