Neural network based brushless DC motor servo system

Wang Limei, Wang Yan, Guo Qingding, Luo Ruifu
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引用次数: 4

Abstract

This paper describes a DSP-based neural network controller of a high-performance brushless DC servomotor system. It has a multi-layer feedforward structure and adopts a DSP (TMS320C30) as its operation element. Its learning scheme and design method are discussed. Simulation and experiment results are presented and the performance of such neural network controllers is studied.
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基于神经网络的无刷直流电机伺服系统
介绍了一种基于dsp的高性能无刷直流伺服电机的神经网络控制器。它具有多层前馈结构,采用DSP (TMS320C30)作为运行元件。讨论了其学习方案和设计方法。给出了仿真和实验结果,并对该神经网络控制器的性能进行了研究。
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