Improved Method for Distributed Parameter Model of Solenoid Valve Based on Kriging Basis Function Predictive Identification Program

In this paper, a method for the improvement of calculation accuracy distributed parameter model (DPM) electromagnetic devices is proposed based on kriging basis function predictive identification program (PIP). Kriging mainly an optimal interpolation which uses spatial self-covariance, and takes polynomial as function. The kriging-based surrogate can be improved by adjusting related functions hyperparameters. Based DPM solenoid valve, there exist certain errors in estimation. They summarized follows: Firstly, estimation error magnetic flux leakage (MFL) permeance caused directly deviation tube due to segmented field line. Secondly, soft resistance because nonlinearity permeability material leads change alongside flux. correction applied modify leak calculation. adjusted adapt data curve MFL data. calculated are compared with variation select appropriate To improve computational efficiency, PIP modified substituted into improving efficiency valve.