• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2016, Vol. 52 ›› Issue (9): 105-115.doi: 10.3901/JME.2016.09.105

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Influence of Dynamic Load on the Mechanical and Electrical Performance of Structurally Integrated Antenna

ZHOU Jinzhu, SONG Liwei, DU Leigang, GUO Donglai   

  1. 1. Key Laboratory of Electronic Equipment Structure Design of Ministry of Education, Xidian University, Xi’an 710071;
    2. State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116023
  • Online:2016-05-05 Published:2016-05-05

Abstract: Structurally integrated antenna is a kind of novel antenna which can embed RF circuit and microstrip antenna array into the structure of weapon platforms. The antenna is not only a load-bearing skin structure, but also a microwave antenna which can receive or send electromagnetic waves, and it can be applied to all kinds of new weapon platforms in the future. As for the evolving problems of the mechanical and electrical performance of structurally integrated antenna, the influence relationship between the structural deformation and the electrical performance is analyzed, and an electromechanical coupling model is developed by using the phase errors. Moreover, the deformed structure is fitted by using least square support vector regression to obtain the electrical performance. At the end, an experimental apparatus with 2.5 GHz structurally integrated antenna is developed, and some experiments from the apparatus are carried out, and the experimental results confirm the effectiveness of the electromechanical coupling model. The validated model is applied to investigate the influence mechanism of dynamic load on the mechanical and electrical performance by analyzing the obtained results. The results show that the structural deformation will affect the direction of main beam, side lobe and gain of the structurally integrated antenna.

Key words: electromechanical coupling, structural deformation, structurally integrated antenna, support vector regression

CLC Number: