Affiliations: [a] State Key Laboratory of Mechanics and Control of
Mechanical Structures, Nanjing University of Aeronautics and Astronautic,
Nanjing, Jiangsu, China | [b] School of Electrical Information, Anhui University of
Technology, Maanshan, Anhui, China
Correspondence:
[*]
Corresponding author: Shijie Zheng, State Key Laboratory of
Mechanics and Control of Mechanical Structures, Nanjing University of
Aeronautics and Astronautic, Nanjing 210016, Jiangsu, China. E-mail: [email protected]
Abstract: In this paper, the multi-modal vibration control of a simply
supported thin cylindrical shell laminated with photostrictive 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 actuators, 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 characteristic 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.
