考虑饱和及耦合特性的同步磁阻电机零低速运行位置观测方法

doi:10.19595/j.cnki.1000-6753.tces.241720

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (5836 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract The synchronous reluctance motor (SynRM) exhibits significant saturation and coupling phenomena, leading to noticeable position observation errors in sensorless control. To achieve high-precision sensorless control of SynRM at zero and low speeds, it is crucial to fully consider the motor's saturation and coupling characteristics, which are primarily reflected in nonlinear inductance changes and the coupling terms in the inductance matrix. Online inductance identification can acquire the motor's saturation and coupling characteristics, which are essential for optimizing sensorless control. This paper proposes a position observation method for synchronous reluctance motor at zero and low speeds, considering saturation and coupling characteristics. First, the influence of motor saturation and coupling characteristics on the high-frequency effective flux linkage observer in zero and low-speed sensorless control is analyzed. Then, a virtual axis equivalent impedance model is constructed to simplify the SynRM model by decoupling the axes. An online identification method for the decoupled axis model parameters is proposed to describe the saturation and coupling characteristics of the SynRM, thereby eliminating position observation errors. Finally, combined with the results of online identification, motor saturation and coupling error compensation are implemented in the sensorless control of the SynRM at zero and low speeds.
A 3 kW SynRM test platform was set up. The experimental results demonstrate that the proposed method enables high-precision sensorless control of SynRM at zero and low speeds. Full-load acceleration tests were conducted to verify the effectiveness of the high-frequency effective flux observer in the SynRM, where the speed variation remained stable and the steady-state error was close to zero. Additionally, zero and low speeds at 150 r/min were selected. Under constant speed conditions, load step change tests were conducted to verify the accuracy of the high-frequency effective flux observer. Experimental results show that correcting and compensating the high-frequency effective flux observer with the identified motor saturation and coupling characteristics can significantly improve the sensorless observation accuracy of the SynRM at zero and low speeds. The steady-state position observation error at zero speed was reduced by 85.7%, 76.7%, and 80.8% under no-load, half-load, and full-load conditions. At low speeds, the steady-state position observation error was reduced by 98.2%, 73.4%, and 80.4% under no-load, half-load, and full-load conditions.
The conclusions can be drawn. (1) SynRMs exhibit significant variations in saturation and coupling characteristics, which cannot be ignored in the design of sensorless control at zero and low speeds. (2) The proposed method simplifies the high-frequency effective flux observer, ensuring stable speed and position output without using a low-pass filter. (3) The proposed method reduces the steady-state error of the observed angle and improves the observation accuracy for sensorless control of the SynRM at zero and low speeds.

Key words： Synchronous reluctance motor saturation and coupling effects zero/low-speed sensorless control online parameter identification

Received: 07 October 2024

PACS:

TM351

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Wang Qiwei
	Lai Zhixuan
	Li Binxing
	Wang Gaolin
	Xu Dianguo

Cite this article:

Wang Qiwei,Lai Zhixuan,Li Binxing等. Position Observation Method for Synchronous Reluctance Motor at Zero and Low Speeds Considering Saturation and Coupling Characteristics[J]. Transactions of China Electrotechnical Society, 2025, 40(24): 7958-7968.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.241720 OR https://dgjsxb.ces-transaction.com/EN/Y2025/V40/I24/7958

[1] 王建渊, 王海啸, 尹忠刚, 等. 基于一阶线性自抗扰控制器的同步磁阻电机无速度传感器控制[J]. 电工技术学报, 2024, 39(14): 4405-4421.
Wang Jianyuan, Wang Haixiao, Yin Zhonggang, et al.Sensorless control of synchronous reluctance motor based on first order linear active disturbance rejection controller[J]. Transactions of China Electrotechnical Society, 2024, 39(14): 4405-4421.
[2] Murataliyev M, Degano M, Di Nardo M, et al.Synchronous reluctance machines: a comprehensive review and technology comparison[J]. Proceedings of the IEEE, 2022, 110(3): 382-399.
[3] 张国强, 杜锦华. 永磁同步电机无位置传感器控制技术综述[J]. 电机与控制应用, 2024, 51(1): 1-13.
Zhang Guoqiang, Du Jinhua.Review of position sensorless control technology for permanent magnet synchronous motors[J]. Electric Machines & Control Application, 2024, 51(1): 1-13.
[4] Xu Yulei, Yao Ming, Sun Xiaodong.Overview of position-sensorless technology for permanent magnet synchronous motor systems[J]. World Electric Vehicle Journal, 2023, 14(8): 212.
[5] 王奇维, 李斌兴, 潘冠丞, 等. 基于转子位置误差解耦阻抗建模的永磁同步电机电感在线辨识方法[J]. 电工技术学报, 2025, 40(2): 439-451.
Wang Qiwei, Li Binxing, Pan Guancheng, et al.Impedance model based online inductance identi- fication method of permanent magnet synchronous motor decoupled from rotor position error[J]. Transa- ctions of China Electrotechnical Society, 2025, 40(2): 439-451.
[6] Accetta A, Cirrincione M, Pucci M, et al.Space- vector state dynamic model of the SynRM considering self, cross-saturation and iron losses and related identification technique[J]. IEEE Transactions on Industry Applications, 2023, 59(3): 3320-3331.
[7] Li Chengrui, Wang Gaolin, Zhang Guoqiang, et al.Review of parameter identification and sensorless control methods for synchronous reluctance machines[J]. Chinese Journal of Electrical Engineering, 2020, 6(2): 7-18.
[8] Hatanaka T, Kato S, Tomita M, et al.Position sensorless control of synchronous reluctance motors at low-speeds[C]//2019 IEEE 4th International Future Energy Electronics Conference (IFEEC), Singapore, 2019: 1-6.
[9] Tsujii Y, Morimoto S, Inoue Y, et al.Effect of inductance model on sensorless control performance of SynRM with magnetic saturation[C]//2022 Inter- national Power Electronics Conference (IPEC-Himeji 2022-ECCE Asia), Himeji, Japan, 2022: 2687-2693.
[10] Foti S, De Caro S, Scimone T, et al.Rotor position error compensation in sensorless synchronous relu- ctance motor drives[J]. IEEE Transactions on Power Electronics, 2022, 37(4): 4442-4452.
[11] 王建渊, 李英杰, 景航辉, 等. 基于静止轴系改进高频方波注入同步磁阻电机无传感器控制[J]. 电工技术学报, 2024, 39(12): 3658-3669.
Wang Jianyuan, Li Yingjie, Jing Hanghui, et al.Sensorless control of high frequency square wave injection synchronous reluctance motor based on static axis system improvement[J]. Transactions of China Electrotechnical Society, 2024, 39(12): 3658-3669.
[12] 曹恒佩, 艾萌萌, 王延波. 永磁辅助同步磁阻电机研究现状及发展趋势[J]. 电工技术学报, 2022, 37(18): 4575-4592.
Cao Hengpei, Ai Mengmeng, Wang Yanbo.Research status and development trend of permanent magnet assisted synchronous reluctance motor[J]. Transa- ctions of China Electrotechnical Society, 2022, 37(18): 4575-4592.
[13] Mercorelli P.Identification of parameters and states in PMSMs[J]. Electronics, 2023, 12(12): 2625.
[14] 许爱德, 刘鑫, 李新宇, 等. 基于参数辨识的永磁辅助同步磁阻电机电流无差拍控制[J]. 电工技术学报, 2024, 39(18): 5626-5638.
Xu Aide, Liu Xin, Li Xinyu, et al.Current deadbeat control of permanent magnet-assisted synchronous reluctance motor based on parameter identification[J]. Transactions of China Electrotechnical Society, 2024, 39(18): 5626-5638.
[15] Jin Tong, Sun Wei, Wang Haowen, et al.Saturated dq-axis inductance offline identification method for SynRM based on a novel active flux observer orientation[J]. IEEE Transactions on Power Elec- tronics, 2024, 39(9): 10670-10674.
[16] Zhang Jindong, Peng Fei, Huang Yunkai, et al.Online inductance identification using PWM current ripple for position sensorless drive of high-speed surface- mounted permanent magnet synchronous machines[J]. IEEE Transactions on Industrial Electronics, 2022, 69(12): 12426-12436.
[17] Berto M, Alberti L, Martin F, et al.Online incre- mental inductance identification for reluctance syn- chronous motors[C]//IECON 2021-47th Annual Con- ference of the IEEE Industrial Electronics Society, Toronto, ON, Canada, 2021: 1-6.
[18] Wang Qiwei, Wang Gaolin, Zhao Nannan, et al.An impedance model-based multiparameter identification method of PMSM for both offline and online con- ditions[J]. IEEE Transactions on Power Electronics, 2021, 36(1): 727-738.
[19] 鲍晓华, 刘婕, 关博凯, 等. 考虑磁饱和的潜水感应电机励磁电感的解析计算[J]. 电工技术学报, 2025, 40(8): 2405-2417.
Bao Xiaohua, Liu Jie, Guan Bokai, et al.Analytical calculation of the magnetizing inductance of the submersible induction machine considering the mag- netic saturation[J]. Transactions of China Electro- technical Society, 2025, 40(8): 2405-2417.
[20] 刘小青, 王晋, 刘开元, 等. 基于高频注入法的同步磁阻电机无位置传感器控制[J]. 微电机, 2024, 57(5): 28-32.
Liu Xiaoqing, Wang Jin, Liu Kaiyuan, et al.Research on sensorless control of synchronous reluctance motor based on high frequency signal injection[J]. Micro- motors, 2024, 57(5): 28-32.
[21] 项润华. 基于有效磁链观测的同步磁阻电机无传感器控制策略[D]. 哈尔滨: 哈尔滨工业大学, 2022.
Xiang Runhua.Active flux observer based sensorless synrm drives srategy[D]. Harbin: Harbin Institute of Technology, 2022.
[22] Chen Guanren, Chen J Y, Yang S C.Implementation issues of flux linkage estimation on permanent magnet machine position sensorless drive at low speed[J]. IEEE Access, 2019, 7: 164641-164649.