A hybrid algorithm based on fish swarm and simulated annealing for parameters identification of modified J-A model

In order to carry out the simulation research of the electromagnetic current transformer, it is necessary to establish an accurate hysteresis model for the current transformer. Jiles-Atherton (J-A) model is widely used in Hysteresis Modeling and simulation experiments of ferromagnetic materials. However, before using the J-A model, five parameters of the J-A model need to be identified. In this paper, the traditional J-A model is modified to eliminate the unphysical solution. In addition, a hybrid algorithm combining artificial fish swarm algorithm with simulated annealing algorithm is proposed for J-A parameters identification. Simulation and experiment prove that the proposed hybrid algorithm can increase the efficiency of fish swarm optimization in later stage and overcome the difficulty of large-scale search by annealing algorithm. The proposed algorithm can effectively improve the speed and accuracy of J-A model parameters identification.