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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 7213125, 11 pages
https://doi.org/10.1155/2017/7213125
Research Article

Optimal Piezoelectric Actuators and Sensors Configuration for Vibration Suppression of Aircraft Framework Using Particle Swarm Algorithm

1School of Electrical Information Engineering, Henan Institute of Engineering, Henan 451191, China
2School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China
3School of Computer, Henan Institute of Engineering, Henan 451191, China

Correspondence should be addressed to Huayan Pu; nc.ude.uhs@1002_doogyhp

Received 6 February 2017; Revised 16 April 2017; Accepted 27 April 2017; Published 15 June 2017

Academic Editor: Xiao-Qiao He

Copyright © 2017 Quanzhen Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Numbers and locations of sensors and actuators play an important role in cost and control performance for active vibration control system of piezoelectric smart structure. This may lead to a diverse control system if sensors and actuators were not configured properly. An optimal location method of piezoelectric actuators and sensors is proposed in this paper based on particle swarm algorithm (PSA). Due to the complexity of the frame structure, it can be taken as a combination of many piezoelectric intelligent beams and L-type structures. Firstly, an optimal criterion of sensors and actuators is proposed with an optimal objective function. Secondly, each order natural frequency and modal strain are calculated and substituted into the optimal objective function. Preliminary optimal allocation is done using the particle swarm algorithm, based on the similar optimization method and the combination of the vibration stress and strain distribution at the lower modal frequency. Finally, the optimal location is given. An experimental platform was established and the experimental results indirectly verified the feasibility and effectiveness of the proposed method.