感应电机全阶观测器低速稳定运行的仿真

doi:10.11772/j.issn.1001-9081.2014.04.1213

计算机应用 ›› 2014, Vol. 34 ›› Issue (4): 1213-1216.DOI: 10.11772/j.issn.1001-9081.2014.04.1213

感应电机全阶观测器低速稳定运行的仿真

李洪波,蒋林,王海唐

西南石油大学电气信息学院,成都 610500

收稿日期:2013-09-22 修回日期:2013-11-16 出版日期:2014-04-01 发布日期:2014-04-29
通讯作者: 李洪波
作者简介:李洪波(1988-),男,四川南充人,硕士研究生,主要研究方向:电机与控制;
蒋林(1974-),男,四川达州人,副教授,主要研究方向:电力电子、电力传动、控制理论、新能源变换与控制;
王海唐(1989-),男,四川遂宁人,硕士研究生,主要研究方向:开关电源控制。
基金资助:
国家自然科学基金资助项目;四川省教育厅科技项目

Simulation on low speed stable operation of full-order observer for induction motor

LI Hongbo,JIANG Lin,WANG Haitang

School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu Sichuan 610500, China

Received:2013-09-22 Revised:2013-11-16 Online:2014-04-01 Published:2014-04-29
Contact: LI Hongbo

摘要/Abstract

摘要：

针对基于全阶磁链观测器的感应电机无速度传感器矢量控制系统低速不稳定问题，采用波波夫(Popov)超稳定性理论分析了观测器在低速发电区域不稳定原因，提出了一种保证观测器低速稳定运行的反馈增益设计准则。为了简化该系统稳定性分析过程，基于转子磁通定向，利用劳斯赫尔维茨(Routh-Hurwitz)判据将一个关于系统极点稳定的多维问题转化为系统零点稳定的一维问题进行处理，推导了转速估算系统稳定性条件，并给出了反馈增益设计方法。仿真结果表明，该系统在低速50r/min和极低速10r/min时均能稳定运行，相对于传统的基于极点配置方法，在低速发电区域的收敛性和稳定性更优，改善了无速度传感器矢量控制系统低速区域的动、静态性能。

Abstract:

For the low-speed instability problem of speed sensor-less vector control system of induction motor based on full-order flux observer, the unstable reason of observer at the low-speed generation region was analyzed by applying Popov's hyperstability theory, and a design criteria of feedback gain was proposed to stabilize the observer at low-speed mode. A stability analysis process was simplified based on rotor flux orientation and a multi-dimensional problem about the system poles stability was transformed into a one-dimensional problem about system zeros stability by using Routh-Hurwitz criterion. Furthermore, the stability condition of speed estimation system was derived and a design method of stability feedback gain was obtained. The simulation results show that the speed estimation system can work stably at a low speed of 50 revolutions per minute and a very low speed of 10 revolutions per minute. Compared with the traditional poles assignment approach, the system has better convergence and stability performance at low-speed generation region, and improves the dynamic and static performances of speed sensor-less vector control system at low-speed region.

中图分类号:

TP273

李洪波蒋林王海唐. 感应电机全阶观测器低速稳定运行的仿真[J]. 计算机应用, 2014, 34(4): 1213-1216.

LI Hongbo JIANG Lin WANG Haitang. Simulation on low speed stable operation of full-order observer for induction motor[J]. Journal of Computer Applications, 2014, 34(4): 1213-1216.

参考文献

［1］HOLTZ J. Sensorless control of induction machines — with or without signal injection? ［J］. IEEE Transactions on Industrial Electronics, 2006, 53(1): 7-30.
［2］YANG G, CHIN T H. Adaptive-speed identification scheme for a vector-controlled speed sensorless inverter-induction motor drive ［J］. IEEE Transactions on Industry Applications, 1993, 29(4): 820-825.
［3］KUBOTA H, MATSUSE K, NAKANO T. DSP-based speed adaptive flux observer of induction motor ［J］. IEEE Transactions on Industry Applications, 1993, 29(2): 344-348.
［4］KUBOTA H, SATO I, TAMURA Y, et al.Regenerating-mode low-speed operation of sensorless induction motor drive with adaptive observer ［J］. IEEE Transactions on Industry Applications, 2002, 38(4): 1081-1086.
［5］HINKKANEN M, LUOMI J. Stabilization of regenerating-mode operation in sensorless induction motor drives by full-order flux observer design ［J］. IEEE Transactions on Industrial Electronics, 2004, 51(6): 1318-1328.
［6］ETIEN E, CHAIGNE C, BENSIALI N. On the stability of full adaptive observer for induction motor in regenerating mode ［J］. IEEE Transactions on Industrial Electronics, 2010, 57(5): 1599-1608.
［7］CHEN W, YU Y, YANG R F, et al.Low speed stability research of adaptive full-order observer for induction motor ［J］. Proceedings of the CSEE, 2010，30(36)：33-40.(陈伟，于泳，杨荣峰,等.异步电机自适应全阶观测器算法低速稳定性研究［J］.中国电机工程学报，2010，30(36)：33-40.)
［8］SUWANKAWIN S, SANGWONGWANICH S. A speed-sensorless IM drive with decoupling control and stability analysis of speed estimation ［J］. IEEE Transactions on Industrial Electronics, 2002, 49(2): 444-455.
［9］SUWANKAWIN S, SANGWONGWANICH S. Design strategy of an adaptive full-order observer for speed-sensorless induction-motor drives-tracking performance and stabilization ［J］. IEEE Transactions on Industrial Electronics, 2006, 53(1): 96-119.
［10］ZAKY M S. Stability analysis of speed and stator resistance estimators for sensorless induction motor drives ［J］. IEEE Transactions on Industrial Electronics, 2012, 59(2): 858-870.
［11］LUO H. Research on the full-order flux observer and the speed estimation method of the induction motor ［D］. Wuhan: Huazhong University of Science and Technology, 2009: 63-76. (罗慧.感应电机全阶磁链观测器和转速估算方法研究［D］.武汉:华中科技大学,2009:63-76.)
［12］YING K, JIANG L, LI H, et al.Vector control fuzzy system based on rotor parameter identification for induction motor ［J］. Journal of Computer Applications, 2013, 33(S1): 303-306. (应凯,蒋林,李洪波,等.基于转子参数辨识的感应电机矢量控制模糊系统［J］.计算机应用,2013,33(S1):303-306.)
［13］HONG N. Matlab simulation of power electronics and electrical drive control system ［M］. Beijing: China Machine Press, 2006: 196-211.(洪乃刚.电力电子和电力拖动控制系统的Matlab仿真［M］.北京:机械工业出版社,2006:196-211.)

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感应电机全阶观测器低速稳定运行的仿真

Simulation on low speed stable operation of full-order observer for induction motor

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