基于带差分扰动的改进PSO的PMSM参数辨识

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引用格式：，.基于带差分扰动的改进PSO的PMSM参数辨识[J].现代电子技术，2025，48（10）：25-30.

Abstract：Inordertoaddresstheissuesof slowspeedandlowaccuracyintheparameteridentificationof permanent magnetsynchronousmotors （PMSM），amethodofparticleswarmparameteridenticationbasedonthecombinationofrandom samplemeanlearngstrategyofdaptieinertialweightanddiferentialperturbationisproposed.Inisalgorithm，allparticles inascendingorderaresortedbasedontheirfitness，andtheparticleswithfitnessrankingbeforethecurrntparticle forma sample pool. The average behavior of k particles in the current particle sample pool can be randomly selected for learning，and anadaptiveinertiaweightbasedonlogisticfunctionisusedtoimprovetheconvergenceperformaneofthealgorithm.A diferentialperturbationmethodisadoptedandembeddedintoteimprovedalgorithmtoenhancetheglobalsearchabilityof the algorithmin theearlysearch stage.Thesimulationresultsshow thattheparameteridentificationcurvecanconvergewhen the number of iterations is around 5O，and the identification eror of four parameters including stator resistance Rs， inductance Lq and （20 Ld， and permanent magnet flux linkage ψf is only 1.58% at the highest and O.005 2% at the lowest.The proposed strategy can accurately identify motor parametersand has the characteristics of fast convergence speed and high accuracy.

Keywords：permanent magnetsynchronousmotor;parameter identification；diferential perturbation;adaptiveinertia weight; improved PSO; sample mean learning strategy; hybrid strategy

0 引言

永磁同步电机（PMSM）因具有结构简单和高功率密度的优势[-3]，被广泛应用于工业伺服系统和工业自动化等领域。（剩余6384字）