一种基于遗传算法的异步电机参数辨识方法

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Abstract To aim at the defects in the traditional parameter identification method based on genetic algorithms of induction motor, an improved method is proposed. By detecting motor stator voltage, current and rotor speed signals, a motor model without flux component is obtained in this method combining with the mathematical model of the induction motor. And a different fitness function is employed from which in traditional genetic algorithm, thus, the complicated procedures of flux observation is avoided, while the disturbance for flux observer need motor parameters is reduced and the accuracy of parameter identification is improved. The simulation and experimental results show that four main parameters of the induction motor can be identified simultaneously in this method, moreover, the four identified parameters can converge to the true value in short time under different operating conditions, and high identification accuracy is also guaranteed. The effectiveness of the method is demonstrated.

Key words： keywords：Induction motor genetic algorithm parameter identification

Received: 10 September 2012 Published: 12 December 2013

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TM343

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	Articles by authors
	Xiao Xi
	Wang Yating
	Xu Qingsong
	Shi Yuchao

Cite this article:

Xiao Xi,Wang Yating,Xu Qingsong等. An Improved Method of Induction Motor Parameter Identification Based on Genetic Algorithm[J]. Transactions of China Electrotechnical Society, 2013, 28(1增): 331-335.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2013/V28/I1增/331

[1] 邓青宇, 廖晓钟, 冬雷, 等. 一种基于定子磁场定向矢量控制的异步电机磁链观测模型[J]. 电工技术学报, 2007, 22(6): 30-34.
Deng Qingyu, Liao Xiaozhong, Dong Lei, et al. A flux observation model of induction motor based on stator flux oriented vector control[J]. Transactions of China Electrotechnical Society, 2007, 22(6): 30-34.
[2] 牛文杰. 异步电机参数辨识方法的研究[D]. 天津: 天津大学, 2008.
[3] Cirrincione M, Pucci M. Identification of an induction motor with the least-squares method[J]. Elect. Eng. Res. Rep, 2000, 3(10): 22-30.
[4] Dell’Aquila, Cupertino F, et al. Kalman filter estimators applied to robust control of induction motor drives[C]. Proc. IECON, 1998, 2(16): 2257-2262.
[5] Jaramillo R. Identification of induction motor parameter using an extended Kalman filter[C]. 1st International Conference on Electrical and Electronics Engineering, 2004, 4(11): 584-588.
[6] Ohnishi K, Ueda Y, Miyachi K. Model reference adaptive system against rotor resistance variation in induction motor drive[J]. IEEE Transactions on Industrial Electronics, 1986, 33(3): 217-223.
[7] Attaianese C, Damiano A, et al. Induction motor drive parameters identification[J]. IEEE Transactions on Power Electronics, 1998, 13(6): 1112-1122.
[8] 金海, 杜鹏英, 麻寿光. 基于遗传算法的异步电动机参数辨识[J]. 仪器仪表学报, 2008, 29(4): 549-552.
Jin Hai, Du Pengying, Ma Shouguang. Parameters identification of asynchronous motor based on genetic algorithm[J]. Chinese Journal of Scientific Instrument, 2008, 29(4): 549-552.
[9] Liu Changliang, Yu Xining, Yao Wanye, et al. Midel identification of power thermal process based on genetic algorithm[J]. Proceedings of the CSEE, 2003, 23(3): 170-174.
[10] Luo Penghui, Liu Mengting. Research on parameter identification system of motor static model based on genetic algorithm[J]. Small & Special Electrical Machines, 2010(1): 51-53.
[11] 张勇军, 王京, 李华德. 基于遗传算法优化的定子磁链扩展卡尔曼估计方法[J]. 电工技术学报, 2009, 24(9): 64-69.
Zhang Yongjun, Wang Jing, Li Huade. A method of the stator flux EKF estimation for induction motors based on genetic algorithm optimizing [J]. Transactions of China Electrotechnical Society, 2009, 24(9): 64-69.