基于神经网络的无刷直流电机伺服系统

IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200) Pub Date : 1998-08-31 DOI:10.1109/IECON.1998.723946

Wang Limei, Wang Yan, Guo Qingding, Luo Ruifu

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引用次数: 4

摘要

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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Neural network based brushless DC motor servo system

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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来源期刊

IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200)

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