一种异步电动机静止状态下参数辨识的改进方法

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (1869 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract In order to obtain the accurate induction motor (IM) parameters in the standstill state,an improved algorithm for parameter identification based on the asymmetric T type circuit is proposed.It is proved that only the active component of the output voltage is affected by the inverter dead time.Based on it,the accuracy of IM parameters estimation is improved through the adaptive compensation for the inverter dead time.The rotor resistor is identified through injecting two single phase alternating currents with identical slip frequency,and different amplitudes,proposing the adaptive algorithm of cancellation error voltage,and considering the skin effect.Based on the approach of equivalent motor idling,mutual inductance is identified more accurately through injecting the very low frequency single phase alternating current and eliminating the influence of the rotor resistance.All the IM parameters estimated in the standstill state is compared with the IM parameters measured by the traditional method and used in the sensor-less vector control system.The experimental results show that the proposed parameter identification algorithm has high accuracy,practicality,and robustness.

Key words： Induction motor parameter identification impact of dead time adaptive algorithm the equivalent idling method

Received: 06 November 2014 Published: 13 April 2015

PACS:

TM315

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Liu Peng
	Wu Wenjin
	Su Jianhui

Cite this article:

Liu Peng,Wu Wenjin,Su Jianhui. An Improved Parameters Estimation Algorithm for Induction Motor in the Standstill State[J]. Transactions of China Electrotechnical Society, 2015, 30(5): 42-48.

URL:

http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2015/V30/I5/42

[1] Holtz J.Sensorless position control of induction motors an emerging technology[J].IEEE Transactions on Industrial Electronics,1998,45(3):840-852.
[2] Toliyat H A,Levi E,Raina M.A review of RFO induction motor parameter estimation techniques[J].IEEE Transaction on Energy Conversion,2003,18(2):271-283.
[3] 贺艳晖,王跃,王兆安.异步电机参数离线辨识改进算法[J].电工技术学报,2011,26(6):73-80.
He Yanhui,Wang Yue,Wang Zhao’an.An improved off-line parameter identification algorithm for induction motors[J].Transactions of China Electrotechnical Society,2011,26(6):73-80.
[4] Jul K S,Seung I M,Seung K S.Induction machine parameter identification using PWM Inverter at Standstill[J].IEEE Transactions on Energy Conversion,1997,12(2):127-132.
[5] Ganji A,Guillaume P,Pintelon R,et al.Induction motor dynamic and static inductance identification using a broadband excitation technique[J].IEEE Transactions on Energy Conversion,1998,13(1):15-20.
[6] Klaes N R.Parameters identification of an induction machine with regard to dependencies on saturation[J].IEEE Transactions on Industry Applications,1993,29(6):1135-1140.
[7] Young S K,Jeong H L,Sang H M,et al.Standstill parameter identification of vector-controlled induction motors using the frequency characteristics of rotor bars[J].IEEE Transactions on Industry Applications,2009,45(5):1610-1618.
[8] 陈伟,于泳,徐殿国,等.基于自适应补偿的异步电机静止参数辨识方法[J].中国电机工程学报,2012,32(6):156-162.
Chen Wei,Yu Yong,Xu Dianguo,et al.Parameters estimation of induction motors at standstill with adaptive non-linearity compensation[J].Proceedings of the CSEE,2012,32(6):156-162.
[9] 盛爽,陆海峰,程小猛,等.静止状态异步电机转子时间常数辨识[J].清华大学学报(自然科学版),2012,52(12):1771-1776.
Sheng Shuang,Lu Haifeng,Cheng Xiaomeng,et al.Rotor time constant identification for a stationary induction motor[J].Journal of Tsinghua University(Sci & Tech),2012,52(12):1771-1776.
[10]Peresada S,kovbasa S,Prystupa D.Adaptive observers for self commissioning of induction motor drives:Theory and experiment[C].IEEE International Conference on Intelligent Energy and Power Systems,2014,240-245.
[11]张虎,李正熙,童朝南.基于递推最小二乘算法的感应电动机参数离线辨识[J].中国电机工程学报,2011,31(18):79-86.
Zhang Hu,Li Zhengxi,Tong Chaonan.Off-line parameter identification of induction motor based on recursive least squares algorithm[J].Proceedings of the CSEE,2011,31(18):79-86.
[12]Bachir A,Azeddine B,Nasreddine N S,Application of genetic algorithm with a novel adaptive scheme for the identification of induction machine parameters[J].IEEE Transactions on Energy Conversion,2005,20(2):284-291.
[13]Bechouche A,Sediki H,Abdeslam D O,et al.A novel method for identifying parameters of induction motors at standstill using adaline[J].IEEE Transactions on Energy Conversion,2012,27(1):105-115.
[14]Zai L,De C L,Lipo T A.An extended Kalman filter approach to rotor time constant measurement in PWM induction motor drives[J].IEEE Transactions on Industrial Electronics,1992,28(1):96-104.
[15]何正义,季学武,瞿文龙.一种新颖的基于死区时间在线调整的SVPWM补偿算法[J].电工技术学报,2009,24(6):42-47.
He Zhengyi,Ji Xuewu,Qu Wenlong.A novel SVPWM compensation strategy based on regulating dead time on line[J].Transactions of China Electrotechnical Society,2009,24(6):42-47.
[16]Zhao H,Jonathan Q M,Kawamura A.An accurate approach of nonlinearity compensation for VSI inverter output voltage[J].IEEE Transactions on Power electronics,2004,19(4):1029-1035.
[17]Consoli A,Fortuna L,Gallo A.Induction motor identification by a microcomputer based structure[J].IEEE Transactions on Industrial Electronics,1987,34(4):422-428.
[18]李东钰(译),杨耕(校).感应电机离线参数辨识方法[J].电力电子,2009,7(3):9-16.
Li Dongyu,Yang Geng.Motor constants measurement for induction motors without rotating[J].Power Electronic,2009,7(3):9-16.