采用智能隶属函数的在线自整定模糊控制器

SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers Pub Date : 1995-07-26 DOI:10.1109/SICE.1995.526702

Seok-Yong Oh, Dong-Jo Park

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引用次数: 7

摘要

提出了一种新的模糊控制器(FLC)设计方法。通过对相平面特性的分析，可以建立和优化FLC的规则库。变异语域可以实现粗、精两种控制效果。利用可变UOD，采用自适应增益调谐方法提高了暂态和稳态性能。为了证明FLC的改进性能和这些方法的有效性，将其应用于具有滞回和死区等强非线性特性的柔性航天器姿态控制系统的设计。

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On-line self tuning fuzzy controller using intelligent membership function

A new design method is proposed for a fuzzy logic controller (FLC). By analyzing phase plane characteristics we can build and optimize the rule base of FLC. Variation of universe of discourse (UOD) can give coarse or fine control effects. With this variable UOD an adaptive gain tuning method is used to improve performance in transient and steady state. To show the improved performance of FLC and effectiveness of these methodologies, it is applied to design of attitude control system for a flexible spacecraft which has inherently a strong nonlinearities such as a hysteresis and a dead band.

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

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