TY - JOUR N2 - The artificial bee colony (ABC) intelligence algorithm is widely applied to solve multi-variable function optimization problems. In order to accurately identify the parameters of the surface-mounted permanent magnet synchronous motor (SPMSM), this paper proposes an improved ABC optimization method based on vector control to solve the multi-parameter identification problem of the PMSM. Because of the shortcomings of the existing parameter identification algorithms, such as high computational complexity and data saturation, the ABC algorithm is applied for the multi-parameter identification of the PMSM for the first time. In order to further improve the search speed of the ABC algorithm and avoid falling into the local optimum, Euclidean distance is introduced into the ABC algorithm to search more efficiently in the feasible region. Applying the improved algorithm to multi-parameter identification of the PMSM, this method only needs to sample the stator current and voltage signals of the motor. Combined with the fitness function, the online identification of the PMSM can be achieved. The simulation and experimental results show that the ABC algorithm can quickly identify the motor stator resistance, inductance and flux linkage. In addition, the ABC algorithm improved by Euclidean distance has faster convergence speed and smaller steady-state error for the identification results of stator resistance, inductance and flux linkage. L1 - http://www.czasopisma.pan.pl/Content/121559/PDF/art03.pdf L2 - http://www.czasopisma.pan.pl/Content/121559 PY - 2021 IS - No 4 EP - 790 DO - 10.24425/aee.2021.138260 KW - artificial bee colony algorithm KW - Euclidean distance KW - online identification KW - parameter identification KW - surface-mounted permanent magnet synchronous motor A1 - Wu, Chunli A1 - Jiang, Shuai A1 - Bian, Chunyuan PB - Polish Academy of Sciences VL - vol. 70 DA - 2021.11.30 T1 - Online parameter identification of SPMSM based on improved artificial bee colony algorithm SP - 777 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/121559 T2 - Archives of Electrical Engineering ER -