Modelling and flatness-based motion planning for an interconnected flexible beam structure

Author(s):  
Andreas Kater ◽  
Thomas Meurer
2019 ◽  
Vol 13 (3) ◽  
pp. 148
Author(s):  
Rickey Pek Eek Ting ◽  
Intan Zaurah Mat Darus ◽  
Shafishuhaza Sahlan ◽  
Mat Hussin Ab Talib
Keyword(s):  

2004 ◽  
Vol 273 (1-2) ◽  
pp. 185-199 ◽  
Author(s):  
W.J. Jung ◽  
W.B. Jeong ◽  
S.R. Hong ◽  
S.-B. Choi

2016 ◽  
Vol 18 (8) ◽  
pp. 4914-4934 ◽  
Author(s):  
Intan Z. Mat Darus ◽  
Rickey Ting Pek Eek ◽  
Shafishuhaza Sahlan ◽  
Pakharuddin Mohd Samin ◽  
Nik M. R Shaharuddin

2018 ◽  
Vol 1075 ◽  
pp. 012029
Author(s):  
H E Oh ◽  
J M Ku ◽  
D H Lee ◽  
C S Hong ◽  
W B Jeong

Author(s):  
Dong-Xing Cao ◽  
Wei Zhang ◽  
Ming-Hui Yao

Flexible multi-beam structures are significant components of large space station, architecture engineering and other structural systems. The understanding of the dynamic characteristics of these structures is essential for their design and control of vibrations. In this paper, the planar nonlinear vibrations and chaotic dynamics of an L-shape flexible beam structure will be investigated using theoretical and experimental methods. The L-shape beam structure considered here is composed of two flexible beams with right-angle. The governing equations of motion for the L-shape beam structure are established firstly. Then, the method of multiple scales is utilized to obtain a four-dimensional averaged equation. Numerical method is used to analyze the nonlinear dynamic responses and chaotic motions. Finally, The experimental apparatus and schemes for measuring the amplitude of nonlinear vibrations for the L-shape beam structure are introduced briefly. Then, the detailed analysis for experimental data and signals which represent the nonlinear responses of the beam structure are given.


Author(s):  
M A Hossain ◽  
M O Tokhi

This paper presents an investigation into the development of an adaptive active control mechanism for vibration suppression using genetic algorithms (GAs). GAs are used to estimate the adaptive controller characteristics, where the controller is designed on the basis of optimal vibration suppression using the plant model. This is realized by minimizing the prediction error of the actual plant output and the model output. A MATLAB GA toolbox is used to identify the controller parameters. A comparative performance of the conventional recursive least-squares (RLS) scheme and the GA is presented. The active vibration control system is implemented with both the GA and the RLS schemes, and its performance assessed in the suppression of vibration along a flexible beam structure in each case.


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