A Novel Method for Output Characteristics Calculation of Electromagnetic Devices using Multi-kernel RBF Neural Network

Abstract

The action performance and reliability of electromagnetic devices is critical to the entire working system. In this paper, a new method for calculating the output characteristics of electromagnetic devices is proposed. This method uses the multi-kernel radial basis function neural network (MK-RBFNN) approximation modeling by the finite element calculation results at the key nodes. It obtains the output response of the electromagnetic device under different coil voltages and air gaps. The key of establishing a MK-RBFNN is to obtain the weight coefficients of each single-kernel radial basis function (RBF) model by using a heuristic weighting strategy. When the electromagnetic output characteristics is calculated in the optimization design of the electromagnetic device, this method solves the problem that the traditional method is difficult to balance the calculation accuracy and speed. The effectiveness of the method is verified by the calculation results of the electromagnetic torque of a typical electromagnetic relay.