PMSM无位置传感器控制中数字滑模观测器抖振现象分析与抑制

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (537 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Spectrum analysis of PMSM back EMF sliding mode observer(SMO) based on windows FFT shows spectrum range of chattering signal is large and the amplitude is high. The result can't be used directly and must be filtered. But the signal changes after passing the low band filter and the compensation is difficult. This paper presents an extended SMO, of which the state variables are current and flux. The observed flux is composed of the real flux and the filtered chattering signal. The spectrum analysis shows the influence of chattering signal can be ignored, and the motor angle can be calculated from the observed flux. The low band filter is omitted, and the phase delay is avoided. The influence of speed estimation error to flux observation is analyzed, and feedback matrix is calculated based on the analysis. Simulation and experimental results show that the proposed method can precisely estimate the position and speed of the rotor, and the system has good dynamic and static performances.

Key words： Permanent magnet synchronous motor sliding mode observer chattering phenomena position sensorless

Received: 03 January 2008 Published: 17 February 2014

PACS:

TM301

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Su Jianyong
	Li Tiecai
	Yang Guijie

Cite this article:

Su Jianyong,Li Tiecai,Yang Guijie. Chattering Phenomenon Analysis and Suppression of Sliding Mode Observer in PMSM Sensorless Control[J]. Transactions of China Electrotechnical Society, 2009, 24(8): 58-64.

URL:

http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2009/V24/I8/58

[1] Yousfi D, Azisi M, Saad A. Sensorless Position and speed detection for permanent magnet synchronous motor[C]. Power Electronics and Motion Control Conference, IPEMC, 2000, 3: 1224-1229.
[2] Chris Frcnch, Paul Acarnley. Control of permanent magnet motor drives using a new position estimation technique[J]. IEEE Trans. on Industry Application, 1996, 32(5): 1089-1097.
[3] Ertugrul N, Acarnley P P. Indirect rotor postion sensing in real-time for brushless permanent magnet motor drives[C]. IEEE Applied Power Electronics Conference and Exposition APEC, 1997, 2: 736-742.
[4] Mobarakeh B N, et al. Mechanical sensorless control of PMSM with online estimation of stator resistance[J]. IEEE Trans. on Industry Applications, 2004, 40(2): 457-471.
[5] Shigeo Morimoto, et al. Mechanical sensorless drives of IPMSM with online parameter identification[C]. IEEE Industry Application Conference IAS, 2005, 1: 297-303.
[6] Todd D Batzel, Kwang Y Lee. Electric propulsion with sensorless permanent magnet synchronous motor: implementation and performance[J]. IEEE Trans. on Energy Conversion, 2005, 20(3): 575-583.
[7] Chen Zhiqian, et al. An extended electromotive force model for sensorless control of interior permanent- magnet synchronous motors[J]. IEEE Trans. on Industrial Electronics, 2003, 50(2): 288-295.
[8] 齐放, 邓智泉, 等. 基于MRAS的永磁同步电机无速度传感器[J]. 电工技术学报, 2004, 22(4): 53-58.
[9] 齐放, 邓智泉, 等. 一种永磁同步电机无速度传感器的矢量控制[J]. 电工技术学报, 2004, 22(10): 30-41.
[10] Qiu Albert, Wu Bin. Sensorless control of permanent magnet synchronous motor using extended Kalman filter[C]. Canadian Conference on Electrical and Computer, 2004, 3: 1557-1562.
[11] Bozo Terzic, Martin Jadric. Design and implementation of the extended kalman filter for the speed and rotor position estimation of brushless DC motor[J]. IEEE Trans. on Industrial Electronics, 2001, 48(6): 1065-1073.
[12] Mobarakeh B N, et al. Mechanical sensorless control of PMSM with online estimation of stator resistance[J]. IEEE Transactions on Industry Applications, 2004, 40(2): 457-471.
[13] Takeshi Furuhashi, et al. A position-and-velocity sensorless control for brushless DC motors using an adaptive sliding mode observer[J]. IEEE Trans. on Industrial Electronics, 1992, 39(2): 89-95.
[14] Francesco, et al. Sensorless speed control of a PM synchronous motor based on sliding mode observer and extended kalman filter[C]. IEEE Industry Application Conference IAS. 2001, 1: 533-540.
[15] Kye Lyong Kang, et al. Sensorless control of PMSM in high speed range with iterative sliding mode observer[C] IEEE Applied Power Electronics Confer- ence and Exposition APEC, 2004, 2: 1111-1116.
[16] Cascella G L, Salvatore N, Salvatore L. Adaptive sliding-mode observer for field oriented sensorless control of SPMSM, on industry[C]. IEEE Inter- national Symposium on Industrial Electronics ISIE, 2003, 2: 1137-1143.