Active Vibration Control of a Double-Curved Shell Structure Using the Example of Stuttgart Smartshell

Author(s):  
Martin Weickgenannt ◽  
Oliver Sawodny ◽  
Stefan Neuhaeuser ◽  
Werner Sobek

The present contribution deals with concepts for active vibration control of a thin double-curved shell structure. The structure, Stuttgart SmartShell, is located at the University of Stuttgart. It is made of softwood and is equipped with strain gages to determine the state of static and dynamic loading. Furthermore a force input is provided at the supports of the structure using hydraulic cylinders. Here a model-based two-degree-of-freedom control concept for vibration damping is presented which is based on a dynamical model derived from Finite Element simulations. The control strategy uses modal decoupling of the system states to enable the manipulation and damping of single eigenmodes. An optimal control strategy is chosen to dampen oscillations as quickly as possible while considering limitations on the force input and peak stresses. The proposed control algorithms are applied to the shell structure under consideration and their applicability is demonstrated by simulation and experimental results.

2013 ◽  
Vol 744 ◽  
pp. 528-531
Author(s):  
Feng Xing ◽  
Jian Guo Cao ◽  
Jing Wang ◽  
Chang Yong Deng

This paper analyses the active vibration control technology on the piezoelectric ceramics car-body pieces in fuzzy control Strategy. Adaptive controllers, based on fuzzy logics, are synthesized for the control of vibration of body structure. Piezoelectric element, control system and body structure have been combined to be a intelligent response system to external drive and it’s own vibration. This system can effect reducing body structure’s reaction from environmental load with external energy. The availability of the control strategy has been confirmed by experiments.


2013 ◽  
Vol 562-565 ◽  
pp. 1527-1530
Author(s):  
Feng Xing ◽  
Jian Guo Cao ◽  
Jing Wang ◽  
Chang Yong Deng

This paper analyses the active vibration control technology on the piezoelectric ceramics car-body pieces in fuzzy control Strategy. Adaptive controllers, based on fuzzy logics, are synthesized for the control of vibration of body structure. Piezoelectric element, control system and body structure have been combined to be a intelligent response system to external drive and it’s own vibration. This system can effect reducing body structure’s reaction from environmental load with external energy. The availability of the control strategy has been confirmed by experiments.


Author(s):  
S. V. Kravchenko

Abstract The features of active vibration control applied to self-excited non-conservative mechanical systems (such as structures subject to flatter, rotor machines, tubes conveying fluid) are discussed. It has been found that the optimal control strategy is the broad-band compensation of the dynamic force reactions combined with narrow-band damping of the mechanical structure resonant vibration. Some problems of feedback synthesis are solved analytically for these systems. The importance of symmetry and asymmetry for the active vibration control systems is discussed. In the case of self-excited systems, it is possible to use the small asymmetry of the control system for the stabilization of the dynamic process.


2007 ◽  
Vol 14 (6) ◽  
pp. 393-406 ◽  
Author(s):  
Ricardo Carvalhal ◽  
Vicente Lopes Júnior ◽  
Michael J. Brennan

In this paper an efficient modal control strategy is described for the active vibration control of a truss structure. In this approach, a feedback force is applied to each mode to be controlled according to a weighting factor that is determined by assessing how much each mode is excited by the primary source. The strategy is effective provided that the primary source is at a fixed position on the structure, and that the source is stationary in the statistical sense. To test the effectiveness of the control strategy it is compared with an alternative, established approach namely, Independent Modal Space Control (IMSC). Numerical simulations show that with the new strategy it is possible to significantly reduce the control effort required, with a minimal reduction in control performance.


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