- Tytuł:
- 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 - Powiązania:
- https://bibliotekanauki.pl/articles/27309956.pdf
- Data publikacji:
- 2023
- Wydawca:
- Polska Akademia Nauk. Czasopisma i Monografie PAN
- Tematy:
-
chaotic mapping
dung beetle algorithm
Levy flights
parameter identification
permanent magnet synchronous motor
spiral strategy - Opis:
- 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.
- Źródło:
-
Archives of Electrical Engineering; 2023, 72, 4; 1055--1072
1427-4221
2300-2506 - Pojawia się w:
- Archives of Electrical Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł