In order to meet the measurement requirements of water-lubricated bearings and to find out the optimal coil structure parameters of eddy current sensors,an optimization search method based on particle swarm optimization(PSO)and back propagation(BP)neural network is proposed.Through the finite element simulation and analysis of ANSYS,the coil material is first determined,and then the optimal number of layers of the eddy current sensor coil is determined,and according to the five parameters of the eddy current coil turns,inner diameter,line width,line height and spacing,which affect the sensor measurement,the simulation obtains the 243 data sets of inductance,resistance,and magnetic induction intensity,and through the simulation of the PSO-BP algorithm,the optimal eddy current sensor structure is found.The eddy current sensor fabricated according to the optimal structure parameters can achieve linear measurement in the range of 2 mm～15 mm through the actual measurement calibration.The research results provide a new idea for the design of eddy current sensor coil structure.
eddy current sensorfinite element analysisparticle swarm optimization-back propagation(PSO-BP)algorithm
万方数据
维普
