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Sensors (Basel). 2016 Oct 01;16(10). doi: 10.3390/s16101632.

Modeling and Control of the Redundant Parallel Adjustment Mechanism on a Deployable Antenna Panel.

Sensors (Basel, Switzerland)

Lili Tian, Hong Bao, Meng Wang, Xuechao Duan

Affiliations

  1. The Key Laboratory of Electronic Equipment Structure Design, Ministry of Education, School of Mechanical and Electrical Engineering, Xidian University, Xi'an 710071, China. [email protected].
  2. Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an 710071, China. [email protected].
  3. The Key Laboratory of Electronic Equipment Structure Design, Ministry of Education, School of Mechanical and Electrical Engineering, Xidian University, Xi'an 710071, China. [email protected].
  4. Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an 710071, China. [email protected].
  5. The Eighth Academy of China Aerospace Science and Technology Corporation, Shanghai 200233, China. [email protected].
  6. The Key Laboratory of Electronic Equipment Structure Design, Ministry of Education, School of Mechanical and Electrical Engineering, Xidian University, Xi'an 710071, China. [email protected].
  7. Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an 710071, China. [email protected].

PMID: 27706076 PMCID: PMC5087420 DOI: 10.3390/s16101632

Abstract

With the aim of developing multiple input and multiple output (MIMO) coupling systems with a redundant parallel adjustment mechanism on the deployable antenna panel, a structural control integrated design methodology is proposed in this paper. Firstly, the modal information from the finite element model of the structure of the antenna panel is extracted, and then the mathematical model is established with the Hamilton principle; Secondly, the discrete Linear Quadratic Regulator (LQR) controller is added to the model in order to control the actuators and adjust the shape of the panel. Finally, the engineering practicality of the modeling and control method based on finite element analysis simulation is verified.

Keywords: Hamilton principle; LQR control; deformation adjustment; mode

Conflict of interest statement

The authors declare no conflict of interest.

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