复合模糊神经控制及其在水轮机调节系统中的应用

Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI:10.1109/ICMLC.2002.1174518

W. Cai, Hai-Feng Liu, Guang-Da Chen, Pin-Mei Yie, Yuyin Cao

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引用次数: 1

摘要

水轮机调节系统是一个非线性、非最小相位、时变系统。为了提高控制系统的性能，有必要找到一个好的算法。本文介绍了一种结合模糊控制和神经控制优点的复合模糊神经控制。仿真和分析表明，该方法比传统的PID控制系统更有效。

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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Compound fuzzy neural control with application to hydro-turbine governing system

The hydro-turbine governing system is a nonlinear, nonminimum phase, time-variant system. To improve the performance of the control system, it is necessary to find a good algorithm. In this paper, the compound fuzzy neural control, which combines the advantages of fuzzy control and neural control, is introduced. The simulation and analysis show that the proposed method is effective and better than the conventional PID control system.

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Proceedings. International Conference on Machine Learning and Cybernetics

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