感应电机高阶终端滑模磁链观测器的研究

史宏宇; 冯勇

doi:10.3724/SP.J.1004.2012.00288

感应电机高阶终端滑模磁链观测器的研究

doi: 10.3724/SP.J.1004.2012.00288

史宏宇^,,
冯勇

1.
哈尔滨工业大学电气工程系哈尔滨 150001

详细信息

通讯作者:
史宏宇, 哈尔滨工业大学电气学院博士研究生. 主要研究方向为电机控制, 非线性控制. E-mail: shihysl@126.com

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出版历程
- 收稿日期: 2011-03-15
- 修回日期: 2011-10-24
- 刊出日期: 2012-02-20

High-order Terminal Sliding Mode Flux Observer for Induction Motors

SHI Hong-Yu^,,
FENG Yong

1.
Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001

摘要

摘要: 提出了基于高阶非奇异终端滑模的感应电机转子磁链观测方法,用于实现感应电机的按转子磁链定向控制. 设计了非奇异终端滑模面及观测器的控制策略,利用所设计的控制策略推导出电机转子磁链信息. 为了抑制常规滑模存在的抖振现象,设计了定子电流观测器的高阶滑模控制律,可将控制信号直接用于电机转子磁链的估计. 较常规滑模观测器,所提方法具有较高的观测精度,并对电机参数变化具有良好的鲁棒性.仿真结果验证了方法的有效性.
- 磁链观测器 /
- 非奇异终端滑模 /
- 高阶滑模 /
- 感应电机
Abstract: This paper proposes a rotor flux estimation method based on high-order sliding mode and non-singular terminal sliding mode for implementing the field orientation control of induction motors. A nonsingular terminal sliding mode and the control law of the observer are designed. The rotor flux of the motor is deduced using the designed control law. Meanwhile, the high-order sliding mode technique is adopted to eliminate the chattering phenomenon of the conventional sliding mode so that the control signal of the observer can be used directly for rotor flux estimation. Compared to conventional sliding mode observers, the proposed observer can estimate the system state with a higher precision. Further, it is insensitive to parameter variations. Simulation results validate the proposed method.
- Flux observer /
- non-singular terminal sliding mode /
- high-order sliding mode /
- induction motor

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参考文献(1)

[1]

Pellegrino G, Guglielmi P, Armando E, Bojoi R I. Self-commissioning algorithm for inverter nonlinearity compensation in sensorless induction motor drives. IEEE Transactions on Industry Applications, 2010, 46(4): 1416-1424[2] Rodic M, Jezernik K. Speed-sensorless sliding-mode torque control of an induction motor. IEEE Transactions on Industrial Electronics, 2002, 49(1): 87-95[3] Wai R J, Lin K M. Robust decoupled control of direct field-oriented induction motor drive. IEEE Transactions on Industrial Electronics, 2005, 52(3): 837-854[4] Reginatto R, Bazanella A S. Robustness of global asymptotic stability in indirect field-oriented control of induction motors. IEEE Transactions on Automatic Control, 2003, 48(7): 1218-1222[5] Proca A B, Keyhani A. Sliding-mode flux observer with online rotor parameter estimation for induction motors. IEEE Transactions on Industrial Electronics, 2007, 54(2): 716-723[6] Kwon S, Shin M H, Hyun D S. Speed sensorless stator flux-oriented control of induction motor in the field-weakening region using Luenberger observer. IEEE Transactions on Power Electronics, 2005, 20(4): 864-869[7] Zhang Y C, Zhao Z M. Speed sensorless control for three-level inverter-fed induction motors using an extended Luenberger observer. In: Proceedings of the IEEE Vehicle Power and Propulsion Conference. Harbin, China: IEEE, 2008. 1-5[8] Wu Qing-Hui, Shao Cheng. A phase-locked-loop-based model reference adaptive system for speed estimation of sensorless induction motor. Acta Automatica Sinica, 2006, 32(5): 713-721(巫庆辉, 邵诚. 一种基于锁相环原理的参考模型自适应感应电机转速估计方法. 自动化学报, 2006, 32(5): 713-721)[9] Wang Qing-Long, Zhang Chong-Wei, Zhang Xing. Variable-structure MRAS speed identification for speed sensorless vector control of induction motor. Proceedings of the Chinese Society for Electrical Engineering, 2007, 27(15): 70-74(王庆龙, 张崇巍, 张兴. 交流电机无速度传感器矢量控制系统变结构模型参考自适应转速辨识. 中国电机工程学报, 2007, 27(15): 70-74)[10] Chen F, Dunnigan M W. Comparative study of a sliding-mode observer and Kalman filters for full state estimation in an induction machine. IEE Proceedings--Electric Power Applications, 2002, 149(1): 53-64[11] Qi J L, Tian Y T, Gong Y M, Zhu C. A sensorless initial rotor position estimation scheme and an extended Kalman filter observer for the direct torque controlled permanent magnet synchronous motor drive. In: Proceedings of the International Conference on Electrical Machines and Systems. Wuhan, China: IEEE, 2008. 3945-3950[12] Kim S H, Park T S, Yoo J Y, Park G T. Speed-sensorless vector control of an induction motor using neural network estimation. IEEE Transactions on Industrial Electronics, 2001, 48(3): 609-614[13] Zhu Qi-Dan, Wang Tong. An improved design scheme of variable structure control for discrete-time systems. Acta Automatica Sinica, 2010, 36(6): 885-889(朱齐丹, 汪瞳. 一种改进的离散时间系统变结构控制设计方法. 自动化学报, 2010, 36(6): 885-889)[14] Chen Jie, Li Zhi-Ping, Zhang Guo-Zhu. Variable structure neural network adaptive robust control. Acta Automatica Sinica, 2010, 36(1): 174-178(陈杰, 李志平, 张国柱. 变结构神经网络自适应鲁棒控制. 自动化学报, 2010, 36(1): 174-178)[15] Yang Ling-Ling, Zhang Yun, Chen Zhen-Feng. Bilinear control based on model bias separation for uncertain nonlinear systems. Acta Automatica Sinica, 2010, 36(10): 1432-1442(杨玲玲, 章云, 陈贞丰. 不确定非线性系统基于偏差分离的双线性控制. 自动化学报, 2010, 36(10): 1432-1442)[16] Rehman H. Elimination of the stator resistance sensitivity and voltage sensor requirement problems for DFO control of an induction machine. IEEE Transactions on Industrial Electronics, 2005, 52(1): 263-269[17] Mitronikas E D, Safacas A N. An improved sensorless vector-control method for an induction motor drive. IEEE Transactions on Industrial Electronics, 2005, 52(6): 1660-1668[18] Levant A. Quasi-continuous high-order sliding-mode controllers. IEEE Transactions on Automatic Control, 2005, 50(11): 1812-1816[19] Feng Y, Yu X Y, Man Z H. Non-singular adaptive terminal sliding mode control of rigid manipulators. Automatica, 2002, 38(12): 2159-2167[20] Shin H B. New antiwindup PI controller for variable-speed motor drives. IEEE Transactions on Industrial Electronics, 1998, 45(3): 445-450

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