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2026-07-07
An Improved Black-Winged Kite Algorithm with Harmonic Compensation for PMSM Parameter Identification
By
Progress In Electromagnetics Research C, Vol. 171, 433-446, 2026
Abstract
To improve the accuracy and stability of parameter identification for permanent magnet synchronous motor (PMSM) drives, which are affected by the dead-time nonlinearity of the voltage source inverter (VSI), this study presents an enhanced Blackwinged Kite Algorithm (BKA) integrated with 5th- and 7th-order harmonic voltage compensation. Initially, harmonic compensation targeting the 5th and 7th voltage components is introduced to suppress the detrimental influence of the VSI dead time on both identification precision and operational stability. Subsequently, a Good Point Set-based initialization approach is adopted to distribute the initial population more evenly across the search domain, which contributes to improved population diversity and algorithmic consistency. In addition, the Thinking Innovation Strategy (TIS) is embedded into the exploration stage of the black-winged kite algorithm to strengthen its global optimization capability. Experimental investigations across different operating scenarios demonstrated that the proposed method achieved superior effectiveness and improved performance.
Citation
Yang Zhang, Shaoziyi Wu, Gao Tang, Jiahao Zhang, Wancheng Xie, and Qianghui Xiao, "An Improved Black-Winged Kite Algorithm with Harmonic Compensation for PMSM Parameter Identification," Progress In Electromagnetics Research C, Vol. 171, 433-446, 2026.
doi:10.2528/PIERC26052601
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