Neural network control of a chopper-fed DC motor

J. Bates, M. Elbuluk, D. Zinger
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引用次数: 10

Abstract

Neural networks are finding their way into control of power electronics and electric machines. Neural network controllers (NCs) possess generalization and learning capabilities that makes them suitable for control of nonlinear, time-variant plants. Neural network control of a chopper-fed DC motor is studied. A dynamic NC is used in a direct adaptive control configuration. After proper training, the dynamic NC emulates the inverse plant dynamic mapping. Training requirements of a NC are investigated. Simulation results showing system performance are presented. Hardware implementation of the NC is discussed.<>
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切刀式直流电机的神经网络控制
神经网络正在寻找控制电力电子和电机的方法。神经网络控制器(nc)具有泛化和学习能力,使其适用于非线性时变对象的控制。研究了一种直插式直流电机的神经网络控制。动态NC用于直接自适应控制配置。经过适当的训练,动态数控仿真了逆植物动态映射。研究了数控机床的培训要求。仿真结果显示了系统的性能。讨论了数控系统的硬件实现
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