CLC number: TU391; TU392.5
On-line Access: 2016-04-05
Received: 2015-05-19
Revision Accepted: 2015-11-30
Crosschecked: 2016-03-08
Cited: 0
Clicked: 4761
Citations: Bibtex RefMan EndNote GB/T7714
Peng-cheng Yang, Yan-bin Shen, Yao-zhi Luo. Active structures integrated with wireless sensor and actuator networks: a bio-inspired control framework[J]. Journal of Zhejiang University Science A, 2016, 17(4): 253-272.
@article{title="Active structures integrated with wireless sensor and actuator networks: a bio-inspired control framework",
author="Peng-cheng Yang, Yan-bin Shen, Yao-zhi Luo",
journal="Journal of Zhejiang University Science A",
volume="17",
number="4",
pages="253-272",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1500109"
}
%0 Journal Article
%T Active structures integrated with wireless sensor and actuator networks: a bio-inspired control framework
%A Peng-cheng Yang
%A Yan-bin Shen
%A Yao-zhi Luo
%J Journal of Zhejiang University SCIENCE A
%V 17
%N 4
%P 253-272
%@ 1673-565X
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1500109
TY - JOUR
T1 - Active structures integrated with wireless sensor and actuator networks: a bio-inspired control framework
A1 - Peng-cheng Yang
A1 - Yan-bin Shen
A1 - Yao-zhi Luo
J0 - Journal of Zhejiang University Science A
VL - 17
IS - 4
SP - 253
EP - 272
%@ 1673-565X
Y1 - 2016
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1500109
Abstract: One of the main problems in controlling the shape of active structures (AS) is to determine the actuations that drive the structure from the current state to the target state. Model-based methods such as stochastic search require a known type of load and relatively long computational time, which limits the practical use of AS in civil engineering. Moreover, additive errors may be produced because of the discrepancy between analytic models and real structures. To overcome these limitations, this paper presents a compound system called WAS, which combines AS with a wireless sensor and actuator network (WSAN). A bio-inspired control framework imitating the activity of the nervous systems of animals is proposed for WAS. A typical example is tested for verification. In the example, a triangular tensegrity prism that aims to maintain its original height is integrated with a WSAN that consists of a central controller, three actuators, and three sensors. The result demonstrates the feasibility of the proposed concept and control framework in cases of unknown loads that include different types, distributions, magnitudes, and directions. The proposed control framework can also act as a supplementary means to improve the efficiency and accuracy of control frameworks based on a common stochastic search.
This paper presents a compound systems called WAS, which is the AS combined with a wirelesses sensor and actuator network (WSAN).
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