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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2016, Vol. 17 Issue (4): 253-272    DOI: 10.1631/jzus.A1500109
Articles     
Active structures integrated with wireless sensor and actuator networks: a bio-inspired control framework
Peng-cheng Yang, Yan-bin Shen, Yao-zhi Luo
Zhejiang Provincial Key Laboratory of Space Structures, Zhejiang University, Hangzhou 310058, China
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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.

Key wordsActive structures (AS)      Wireless sensor and actuator networks (WSAN)      Shape control      Bio-inspired control     
Received: 19 May 2015      Published: 05 April 2016
CLC:  TU391  
  TU392.5  
Cite this article:

Peng-cheng Yang, Yan-bin Shen, Yao-zhi Luo. Active structures integrated with wireless sensor and actuator networks: a bio-inspired control framework. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2016, 17(4): 253-272.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A1500109     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2016/V17/I4/253

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