基于神经网络的气缸自适应I-PD控制器

SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers Pub Date : 1995-07-26 DOI:10.1109/SICE.1995.526695

A. Fujiwara, K. Katsumata, Y. Ishida

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引用次数: 9

摘要

本文介绍了一种利用神经网络对气缸I-PD控制器进行自整定的方法。众所周知，I-PD控制器因其良好的性能被广泛应用于过程控制中。然而，当被控对象存在死区时，I-PD增益很难确定。在此，我们提出了一种自整定的I-PD控制器，并给出了仿真和实验结果来证明我们方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Neural network based adaptive I-PD controller for pneumatic cylinder

This paper describes a method of self-tuning the I-PD controller for pneumatic cylinder using neural networks. As it is well known I-PD controllers are widely used for process control, because they have good performance. However, it is very difficult to determine I-PD gains in case of controlled object with deadtime. Here, we propose a self-tuning I-PD controller and show the simulation and experimental results to demonstrate the effectiveness of our method.

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SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers

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