A Versatile Hybrid Testing System and Its Application in Developing Hybrid Simulation Methods for NEESR Projects

Author(s):  
Xiaoyun Shao ◽  
Adam Mueller ◽  
Chelsea Griffith ◽  
Griffin Enyart
Author(s):  
Adam Mueller ◽  
Chelsea Griffith ◽  
Xiaoyun Shao ◽  
Griffin Enyart

2017 ◽  
Vol 31 (4) ◽  
pp. 04017014 ◽  
Author(s):  
Xin Li ◽  
Ali I. Ozdagli ◽  
Shirley J. Dyke ◽  
Xilin Lu ◽  
Richard Christenson

Author(s):  
Matthew Hall ◽  
Javier Moreno ◽  
Krish Thiagarajan

This paper presents performance requirements for a real-time hybrid testing system to be suitable for scale-model floating wind turbine experiments. In the wave basin, real-time hybrid testing could be used to replace the model wind turbine with an actuation mechanism, driven by a wind turbine simulation running in parallel with, and reacting to, the experiment. The actuation mechanism, attached to the floating platform, would provide the full range of forces normally provided by the model wind turbine. This arrangement could resolve scaling incompatibilities that currently challenge scale-model floating wind turbine experiments. In this paper, published experimental results and a collection of full-scale simulations are used to determine what performance specifications such a system would need to meet. First, an analysis of full-scale numerical simulations and published 1:50-scale experimental results is presented. This analysis indicates the required operating envelope of the actuation system in terms of displacements, velocities, accelerations, and forces. Next, a sensitivity study using a customization of the floating wind turbine simulator FAST is described. Errors in the coupling between the wind turbine and the floating platform are used to represent the various inaccuracies and delays that could be introduced by a real-time hybrid testing system. Results of this sensitivity study indicate the requirements — in terms of motion-tracking accuracy, force actuation accuracy, and system latency — for maintaining an acceptable level of accuracy in 1:50-scale floating wind turbine experiments using real-time hybrid testing.


Author(s):  
Zhencai Zhu ◽  
Yu Tang ◽  
Gang Shen

Electro-hydraulic hybrid testing, which imposes the desired acceleration and force on the specimen in parallel, is a novel structural testing method for structures or facilities and is extensively applied in civil and seismic engineering. To efficiently suppress the surplus force resulted from the acceleration motion of the specimen during the force control process, a compound force tracking control strategy comprised of a force and voltage feedforward controller (FVFC) and feedforward inverse with disturbance observer (FIDOB) controller is presented in this research. The FVFC controller as an inner loop feedforward component is first constituted by the generated force feedback signal and the real-time control voltage signal of the acceleration actuator so as to compensate for the acceleration motion of the specimen for a better disturbance rejection performance, and the FVFC controller requires little information of the system dynamic structure or parameters. The FIDOB controller composed by a feedforward inverse controller and an inverse model-based disturbance observer is then combined with the FVFC controller as an outer loop to further deal with the remaining disturbances for the FVFC-controlled electro-hydraulic hybrid testing system. The inverse model applied in the FIDOB controller is obtained with the frequency domain complex curve fitting and zero magnitude error tracking technology with respect to the proportional–integral controlled static loading system. Hence, the proposed controller integrates the advantages of the FVFC controller and FIDOB controller in terms of easy implementation and high tracking performance. Finally, comparative experiments are carried out on an uniaxial electro-hydraulic hybrid testing test rig with the xPC rapid prototyping technology and experimental results demonstrate the effectiveness of the proposed control strategy.


2018 ◽  
Vol 48 (3) ◽  
pp. 347-365
Author(s):  
Kung‐Juin Wang ◽  
Ming‐Chieh Chuang ◽  
Keh‐Chyuan Tsai ◽  
Chao‐Hsien Li ◽  
Pu‐Yuan Chin ◽  
...  

2005 ◽  
Vol 17 (27) ◽  
pp. R691-R703 ◽  
Author(s):  
Gabor Csányi ◽  
T Albaret ◽  
G Moras ◽  
M C Payne ◽  
A De Vita

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