利用神经网络进行电机调速

[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society Pub Date : 1990-11-27 DOI:10.1109/IECON.1990.149310

H. Tai, J. Wang, K. Ashenayi

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引用次数: 5

摘要

研究了反向传播神经网络在工业伺服系统运动控制和速度调节中的应用。目标是建立一个智能控制器或调节器，其通用性相当于人类操作员所拥有的。神经网络的优势在于它在学习和集体处理能力方面是灵活的。仿真结果验证了该方案的可行性和有效性。网络性能作为隐藏单元数量和训练样本数量的函数得到了解决。

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Motor speed regulation using neural networks

An investigation is conducted of the use of the back-propagation neural network for motion control and speed regulation in industrial servo systems. The goal is to build an intelligent controller or regulator which has a versatility equivalent to that possessed by a human operator. The advantages of neural nets lie in that they are flexible in terms of learning and collective processing capabilities. Simulation was performed to demonstrate the feasibility and effectiveness of the proposed scheme. Network performance as a function of the number of hidden units and the number of training samples is addressed.<>

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来源期刊

[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society

CiteScore

1.40

自引率

0.00%

发文量