关键词: 混沌, 粒子群优化, 神经网络, 群智能, 开关磁阻发电机

Abstract: A new algorithm，which is named as chaotic hybrid particle swarm optimization BP neural network（CPSO-BPNN），is proposed.CPSO integrates chaotic mechanism for its ergodicity，stochastic property，and regularity，which enhance the global exploitation of PSO.BP neural network has strong nonlinear approximation ability，but its nature of gradient descent algorithm determines that it’s easy to fall into local optimum and sensitive to the initial values.The CPSO-BPNN algorithm is in order to take the advantages of the two algorithms.It is applied to the non-linear modeling of Switched Reluctance Generator（SRG）.The efforts suggest that the IPSO-BPNN model has strong generalization ability，it can expression the flux and torque characteristics of SRG perfectly.

Key words: chaotic, Particle Swarm Optimization（PSO）, Neural Network（NN）, swarm intelligence, Switched Reluctance Generator（SRG）