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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起动/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:本文提出了一种基于小波神经网络的新型开关磁阻发电机系统集成仿真模型。开关磁阻启动器/发电机系统由于其关键的非线性而难以获得良好的仿真模型。小波神经网络具有强大的学习,逼近和预测能力,因此可以建立相对准确的数学模型。通过小波神经网络实现了磁链,电流和转子位置的非线性映射关系,并建立了磁阻开关发电机系统的仿真模型。该仿真具有很高的运算速度,并且可以方便地进行修改。仿真和实验结果均证实了所提仿真模型的有效性。

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