Parameter identification of PMSM based on dung beetle optimization algorithm

• Autorzy: Yang Xiaollang , Cui Yuyue , Jia Lianhua , Sun Zhihong , Zhang Peng , Zhao Jiane , Wang Rui

Identyfikatory

DOI

10.24425/aee.2023.147426

• Języki publikacji: EN

Abstrakty

EN

In this paper, a creative dung beetle optimization (CDBO) algorithm is proposed and applied to the offline parameter identification of permanent magnet synchronous motors. First, in order to uniformly initialize the population state and increase the population diversity, a strategy to improve the initialization of the dung beetle population using Singer chaotic mapping is proposed to improve the global search performance; second, in order to improve the local search performance and enhance the convergence accuracy of the algorithm, a new dung beetle position update strategy is designed to increase the spatial search range of the algorithm. Simulation results show that the proposed optimization algorithm can quickly and accurately identify parameters such as resistance, inductance, and magnetic chain of the PMSM, with significant improvements in convergence algebra, identification accuracy and stability.

Słowa kluczowe

EN

chaotic mapping; dung beetle algorithm; Levy flights; parameter identification; permanent magnet synchronous motor; spiral strategy

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2023
• Tom: Vol. 72, nr 4
• Strony: 1055--1072
• Opis fizyczny: Bibliogr. 20 poz., fig., tab.

Twórcy

autor

Yang Xiaollang

• School of Electrical and Information Engineer, Zhengzhou University of Light Industry Zhengzhou, China
• Henan Key Lab of Information based Electrical Appliances Zhengzhou, China

• https://orcid.org/0000-0003-4579-322X

autor

Cui Yuyue

• School of Electrical and Information Engineer, Zhengzhou University of Light Industry Zhengzhou, China
• Henan Key Lab of Information based Electrical Appliances Zhengzhou, China

autor

Jia Lianhua

• China Railway Engineering Equipment Group Co. Ltd Zhengzhou, China

autor

Sun Zhihong

• China Railway Engineering Equipment Group Co. Ltd Zhengzhou, China

autor

Zhang Peng

• China Railway Engineering Equipment Group Co. Ltd Zhengzhou, China

autor

Zhao Jiane

• School of Electrical and Electronic Engineering, Zhengzhou University of Science and Technology Zhengzhou, China

autor

Wang Rui

• School of Electrical and Information Engineer, Zhengzhou University of Light Industry Zhengzhou, China
• Henan Key Lab of Information based Electrical Appliances Zhengzhou, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).