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Study on simulation model of switched reluctance startor/generator system based on wavelet neural network

机译:基于小波神经网络的开关磁阻/发电机系统仿真模型研究

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This paper presents a novel integrated simulation model of switched reluctance startor/generator system based on wavelet neural network. The switched reluctance startor/generator system is hard to obtain good simulation model due to its critical nonlinearity. Relatively accurate mathematical model would be built by the wavelet neural network due to its powerful learning, approximation and prediction abilities. The nonlinear mapping relation of the flux-linkage, current and rotor position has been realized by the wavelet neural network and the simulation model of switched reluctance startor/generator system is established meanwhile. The simulation has high operation speed and can be modified conveniently. The effectiveness of the proposed simulation model has been confirmed both by simulation and experiment results.
机译:本文介绍了基于小波神经网络的开关磁阻启动/发电机系统的新颖仿真模型。由于其临界非线性,切换磁阻启动/发电机系统很难获得良好的仿真模型。由于其强大的学习,近似和预测能力,小波神经网络建立了相对准确的数学模型。通过小波神经网络实现了磁通连杆,电流和转子位置的非线性映射关系,与开关磁阻启动/发电机系统的仿真模型同时建立。仿真具有高运行速度,可方便地修改。通过模拟和实验结果证实了所提出的模拟模型的有效性。

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