基于单维离散滑模的模型参考自适应转速辨识方法

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Abstract The speed estimation in direct torque control for speed sensorless technology is studied profoundly in this paper. An improved algorithm named single-manifold discrete time sliding mode MRAS is proposed on the basis of model reference adaptive system. The new algorithm obtains the identification flux using the classic MRAS, and the PI adaptive law in MRAS is replaced with the sliding mode observer which is acquired by the error function according to the Popov theory. The chattering problem is decreased by using a discrete time sliding mode control strategy. Simulation and experimental results prove the effectiveness of the algorithm by comparing with classic MRAS method.

Key words： Speed estimation model reference adaptive system sliding mode control direct torque control

Received: 22 June 2011 Published: 20 March 2014

PACS:

TM346

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	Zhang Yongjun
	Sun Yinfei
	Wang Jing

Cite this article:

Zhang Yongjun,Sun Yinfei,Wang Jing. A Speed Estimation Algorithm Based on Single-Manifold Discrete Time Sliding Mode Model Reference Adaptive System[J]. Transactions of China Electrotechnical Society, 2012, 27(4): 54-58.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2012/V27/I4/54

[1] 李永东, 李明才. 感应电机高性能无速度传感器控制系统——回顾、现状与展望[J]. 电气传动, 2004(1): 4-10.
Li Yongdong, Li Mingcai. Speed sensorless control of induction motor with high performance[J]. Electric Drive, 2004(1): 4-10.
[2] Mohsen Elloumi, Lazhar Ben Brahim. Survey of speed sensorless controls for IM drives[C]. IEEE PESC’98 1998: 1018-1023.
[3] Schauder C. Adaptive speed identification for vector control of induction motors without rotational transducers[J]. IEEE Transactions on Industry Applications, 1992, 28(5): 1054-106.
[4] Tajima H, Hori Y. Speed sensorless field orientation control of induction machine[J]. IEEE Transactions on Industry Applications, 1993, 29(1): 175-180.
[5] Hisao Kubota, et al. Speed sensorless field-oriented control of induction motor with rotor resistance adaptation[J]. IEEE Transactions on Industry Applications, 1994, 3(5): 1219-1224.
[6] 陈硕, 辻峰男. 基于磁通观测器的感应电动机无速度传感器矢量控制系统的参数在线辨识[J]. 电工技术学报, 2003, 18(3): 10-13.
Chen Shuo, Shi Fengnan. Online parameter identification for vector control of induction machine based on flux obsever[J]. Transactions of China Electrotechnical Society, 2003, 18(3): 10-13.
[7] Yang Geng, Tung Hai Chin. Adaptive speed identification scheme for a inverter-induction motor drive[J]. IEEE Transactions on Industry Applications, 1993, 29(4): 820-825.
[8] Peng F Z, Fukao T. Robust speed identification for speed sensorless vector control of induction motors[J]. IEEE Transactions on Industry Applications, 1994, 30(5): 1234-1240.
[9] 李建军, 桂卫华. 感应电机鲁棒滑模速度控制器的设计[J]. 武汉理工大学学报, 2009, 31(9): 84-89.
Li Jianjun, Gui Weihua. Design of sliding model speed robust controller of induction motor[J]. Journal of Wuhan University of Technology, 2009, 31(9): 84-89.
[10] 吴平仿, 沈艳霞. 基于MRAS速度估计感应电机滑模控制[C]. 中国控制与决策学术年会论文集, 2007: 1051-1054.
[11] Kais Jamoussi, Mohamed Ouali. A sliding mode speed control of an induction motor[J]. American Journal of Applied Sciences, 2007, 4 (12): 987-994.
[12] 李华德, 白晶, 李志民, 等. 交流调速控制系统[M]. 北京：电子工业出版社, 2003.
[13] Wang L X. Stable adaptive fuzzy control of nonlinear systems[J]. IEEE Transactions on Fuzzy Systems, 1993, 1(2): 146-155.
[14] Landau Y D. Adaptive control: the model reference approach[M]. New York: Marcel Dekker Inc., 1979.
[15] Utkin V I, Guldner J G, Shi J. Sliding mode control in electromechanical systems[M]. London: Taylor and Francis, 1999.