Sensorless Control of Switched Reluctance Motor Based on Intersection Angle Compensation of Phase Inductance

被引：0
|
作者：
Kuang S. [1 ]
Zhang X. [1 ]
Zhang Z. [2 ]
Jiang H. [1 ]
机构：
[1] National-Local Joint Engineering Laboratory of Marine Mineral Resources Exploration Equipment and Safety Technology, Hunan University of Science and Technology, Xiangtan
[2] College of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2019年 / 34卷 / 23期
关键词：
Angle compensation for phase inductance intersections; Magnetic saturation; Sensorless control; Switched reluctance motor;
D O I：
10.19595/j.cnki.1000-6753.tces.181491
中图分类号：
学科分类号：
摘要：
Based on intersection angle compensation of conducting phase and non-conducting phase inductance, a sensorless control method for switched reluctance motor (SRM) is proposed to solve the problem of inaccurate estimation of rotor position due to the magnetic saturation. Firstly, the functional relationship is constructed between the on-phase saturated current and the angle offset of inductance intersection points and their reference positions. The corresponding phase-inductance intersection points are then corrected according to the functional relationship and the on-phase saturated current measured in real time, thus the accurate position angle of phase-inductance intersection points are obtained; secondly, The speed of SRM can be calculated by the corrected intersection angle, and the rotor position of SRM is obtained. The proposed method can effectively improve the estimation accuracy of the rotor position due to the real-time correction of the intersection position of phase inductance. Finally, the feasibility of the proposed method is verified by simulations and experiments. © 2019, Electrical Technology Press Co. Ltd. All right reserved.
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页码：4909 / 4917
页数：8
相关论文
共 18 条
  • [1] Gan C., Wu J., Hu Y., Et al., Online sensorless position estimation for switched reluctance motors using one current sensor, IEEE Transactions on Power Electronics, 31, 10, pp. 7248-7263, (2016)
  • [2] Ofori E., Husain T., Sozer Y., Et al., Pulse-injection based sensorless position estimation method for a switched reluctance machine over a wide speed range, IEEE Transactions on Industry Applications, 51, 5, pp. 3867-3876, (2015)
  • [3] Ehsani M., Fahimi B., Elimination of position sensors in switched reluctance motor drives: state of the art and future trend, IEEE Transactions on Industrial Electronics, 49, 1, pp. 40-47, (2002)
  • [4] Henriques-De-Araujo-Porto L.O., Barbosa-Rolim L.G., Suemitsu W.-I., Et al., Development and experimental tests of a simple neurofuzzy learning sensorless approach for switched reluctance motors, IEEE Transactions on Power Electronics, 26, 11, pp. 3330-3344, (2011)
  • [5] Desai P.C., Krishnamurthy M., Schofield N., Et al., Novel switched reluctance machine configuration with higher number of rotor poles than stator poles: concept to implementation, IEEE Transactions on Industrial Electronics, 57, 2, pp. 649-659, (2010)
  • [6] Xia C., Xie X., Position sensorless control of switched reluctance motor using wavelet neural networks, Transactions of China Electrotechnical Society, 23, 7, pp. 33-38, (2008)
  • [7] Kuai S., Zhang X., Wang Q., Et al., Position sensorless control of SRM using neural network, Electric Machines And Control, 15, 8, pp. 18-22, (2011)
  • [8] Cai J., Deng Z., Sensorless control of switched reluctance motors based on phase inductance model in model in linear regions, Proceedings of the CSEE, 32, 15, pp. 114-123, (2012)
  • [9] Kuai S., Wang P., Cheng J., Et al., Four quadrant position sensorless technology of switched reluctance motors based on variable coefficients inductance model, Transactions of China Electrotechnical Society, 29, 7, pp. 114-124, (2014)
  • [10] Chen K., Sun Y., Wu J., Et al., Inductance model based sensorless control of the switched reluctance motors, Transactions of China Electrotechnical Society, 21, 11, pp. 71-75, (2006)
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