基于参数优化VMD和多尺度模糊熵的星-三角接法FS-PMM匝间短路故障诊断方法OACSTPCD

The fractional slot permanent magnet motor winding adopts a star-delta(Y-Δ)connection multi-layer winding structure,which can restrain the low order harmonic of armature magnetic field and improve the operation efficiency.However,this structure is more complex than the conventional Y connection double-layer winding structure,and the risk of inter-turn short circuit is higher.Firstly,a circuit model of inter-turn short circuit in Y-Δ connection fractional-slot permanent magnet motor(FS-PMM)is established.The fault three-phase current is derived,and fault current will be affected by the position of the inter-turn short circuit.Secondly,the whale optimization algorithm is improved by adaptive weights and Cauchy Gaussian mutation strategy.The improved whale optimization algorithm is adopted for optimizing the parameters of variational mode decomposition,and a parameter optimized variational mode decomposition algorithm for processing current signal is proposed.Finally,by calculating the multi-scale fuzzy entropy of current and torque,a fault diagnosis method for Y-Δ connection FS-PMM inter-turn short circuit is proposed.The accuracy of this fault diagnosis method can reach over 95％,and it can effectively distinguish the inter-turn short circuit fault between the Y connection part and the Δconnection part.