Fuzzy neural network multi-modal vibration control of thin cylindrical shells laminated with photostrictive actuators
Fuzzy neural network multi-modal vibration control of thin cylindrical shells laminated with photostrictive actuators
复制标题
光致致动器叠层薄圆柱壳的模糊神经网络多模态振动控制
DOI：
10.3233/jae-140102
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发表时间：
2014
影响因子：
0.6
通讯作者：
Zheng S.
中科院分区：
文献类型：
--
作者：
He R.;Zheng S.
本文研究了光致伸缩作动器对简支层合薄圆柱壳的多模态振动控制。首先，给出了多层激励结构的层合圆柱壳的光电/壳耦合方程。此外，针对光致伸缩驱动器的非线性和时变特性，设计了一种自适应学习率的模糊神经网络（FNN）控制器，用于抑制光电层合薄圆柱壳的多模态振动。该方法具有自学习能力，能有效地响应由扰动引起的多模态振动的时变特性。其控制规则库可以通过在线学习不断建立和修改。最后，数值仿真结果表明，所提出的智能控制器可以有效地抑制多模态振动的光电层合薄圆柱壳。
In this paper, the multi-modal vibration control of a simply supported thin cylindrical shell laminated with photostric- tive actuators is studied. First, the photo-electric/shell coupling equations of a cylindrical shell laminated with the multi-layer actuator configuration are presented. Moreover, in view of the nonlinear and time-variant characteristics of photostrictive actu- ators, a fuzzy neural network (FNN) controller with adaptive learning rates is developed to attenuate multi-mode vibration of photo-electric laminated thin cylindrical shells. This approach has learning ability for responding to the time-varying charac- teristic of the multi-mode vibration induced by disturbance. Its control rule bank can be established and modified continuously by on-line learning. Finally, numerical simulation results are provided to show that the proposed intelligent controller could effectively suppress multi-mode vibration of photo-electric laminated thin cylindrical shells.
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DOI：
10.1115/1.2893923
发表时间：
1998-10
期刊：
Journal of Vibration and Acoustics
影响因子：
--
作者：
B. Liu;H. Tzou
通讯作者：
B. Liu;H. Tzou
影响因子：
4.1
作者：
Takeshi Takawa;T. Fukuda;K. Nakashima
通讯作者：
Takeshi Takawa;T. Fukuda;K. Nakashima
基于遗传算法的光致伸缩致动器多模态梁无线振动控制
影响因子：
5
作者：
郑世杰;Lian Jingjing;Wang Hongtao
通讯作者：
Wang Hongtao
影响因子：
4.1
作者：
H. Shih;H. Tzou;Wilbur Walters
通讯作者：
H. Shih;H. Tzou;Wilbur Walters
DOI：
10.1109/iecon.1997.668524
发表时间：
1997-11
期刊：
Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066)
影响因子：
--
作者：
Y. Morikawa;T. Nakada
通讯作者：
Y. Morikawa;T. Nakada