基于改进飞蛾火焰算法的单相逆变器参数辨识

doi:10.3969/j.issn.1000-1158.2020.11.17

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Abstract Based on the improved moth flame optimization algorithm, a parameter identification method of inverter circuit is proposed. Aiming at the shortcomings of the moth flame algorithm,at the early stage, the improved algorithm makes the moth move to the optimal position in a straight line and speeds up the convergence speed of the algorithm. At the later stage, the Levy flight is used to enhance the diversity of the population and improve the global search ability of the algorithm. The results of parameter identification show that the parameters identified by the improved algorithm are very close to the actual values, and the error is very small. The improved moth flame algorithm can effectively realize the accurate identification of inverter circuit parameters, and can be used in parameter fault diagnosis, operation status monitoring and predictive maintenance.

Key words： metrology single-phase inverter parameter identification moth flame optimization fast Fourier transform levy flight

Received: 13 February 2019 Published: 02 November 2020

PACS:

TB971

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	Articles by authors
	WU Zhong-qiang
	SHEN Dan-dan
	SHANG Meng-yao
	QI Song-qi

Cite this article:

WU Zhong-qiang,SHEN Dan-dan,SHANG Meng-yao, et al. Parameter Identification of Single-Phase Inverter Based on Improved Moth Flame Optimization[J]. Acta Metrologica Sinica, 2020, 41(11): 1416-1424.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2020.11.17 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2020/V41/I11/1416

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