@ARTICLE{Yang_Xiaoliang_Parameter_2023,
 author={Yang, Xiaoliang and Cui, Yuyue and Jia, Lianhua and Sun, Zhihong and Zhang, Peng and Zhao, Jiane and Wang, Rui},
 volume={vol. 72},
 number={No 4},
 journal={Archives of Electrical Engineering},
 pages={1055-1072},
 howpublished={online},
 year={2023},
 publisher={Polish Academy of Sciences},
 abstract={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.},
 type={Article},
 title={Parameter identification of PMSM based on dung beetle optimization algorithm},
 URL={http://www.czasopisma.pan.pl/Content/129540/PDF-MASTER/art12_int.pdf},
 doi={10.24425/aee.2023.147426},
 keywords={chaotic mapping, dung beetle algorithm, Levy flight, parameter identification, permanent magnet synchronous motor, spiral strategy},
}