
Proceedings Paper
H2 optimization of electricity-generating tuned mass dampers for simultaneous vibration control and energy harvestingFormat | Member Price | Non-Member Price |
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Paper Abstract
The classic tuned mass damper (TMD) is a passive vibration control device composed of an auxiliary mass connected to a vibrating object with a spring and an energy-dissipative element. When its parameters are optimized, it can reduce the vibration effectively. Recently, the authors proposed simultaneous vibration control and energy harvesting from tall buildings by replacing the energy-dissipative element of the TMD with electromagnetic transducers, which is called electricity-generating TMD. However, the electromagnetic transducers and the energy harvesting circuit, the modeling of which is an essentially a RL circuit, will introduce extra dynamics into the system, which has significant influence on the vibration mitigation performance. This paper investigates the influence, by optimizing the parameters. We found that the electricity-generating TMD can provide better vibration mitigation performance than the classic TMD and similar performance as the three-element TMD while harvesting the vibration energy at the same time. This paper utilizes the H2 criterions, which is to minimize the root-mean-square vibration under random excitation. The optimization method is presented in this paper, as well as the concise closed-form solution of the optimal parameters. A case study is also given to illustrate the effectiveness, robustness of the electricity-generating TMD and the sensitivity to the parameter changes.
Paper Details
Date Published: 10 April 2013
PDF: 7 pages
Proc. SPIE 8688, Active and Passive Smart Structures and Integrated Systems 2013, 86880U (10 April 2013); doi: 10.1117/12.2009841
Published in SPIE Proceedings Vol. 8688:
Active and Passive Smart Structures and Integrated Systems 2013
Henry Sodano, Editor(s)
PDF: 7 pages
Proc. SPIE 8688, Active and Passive Smart Structures and Integrated Systems 2013, 86880U (10 April 2013); doi: 10.1117/12.2009841
Show Author Affiliations
Wen Cui, Stony Brook Univ., SUNY (United States)
Xiudong Tang, Stony Brook Univ., SUNY (United States)
Xiudong Tang, Stony Brook Univ., SUNY (United States)
Lei Zuo, Stony Brook Univ., SUNY (United States)
Published in SPIE Proceedings Vol. 8688:
Active and Passive Smart Structures and Integrated Systems 2013
Henry Sodano, Editor(s)
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