Design and Prediction of In-orbit Dynamic Behavior of Deployable Mesh Antennas

Erscheinungsjahr 2026
ISBN: 978-981-9201-39-6
Verlag: Springer

Buch, Englisch, 120 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Springer Theses

This book focuses on using simulation to optimize the designs of the deployable truss, cable networks, as well as gravity compensation systems, to minimize the difference between the in-orbit and on-ground behaviors of mesh antennas, and to achieve an accurate in-orbit prediction.

It addresses the following three aspects: (i) A multiscale dynamic method for modeling cable-pulley systems was proposed, which makes it possible to simulate antenna deployment with multiscale nature of time and length, and to evaluate the effects of synchronization mechanisms on deployment dynamics. (ii) A designing methodology for achieving a robust cable network against variation in tension forces was proposed. (iii) The effects of on-ground gravity compensation systems for webs on deployment dynamics of mesh antennas were revealed. This book provides design guidance for the next generation of large space deployable antennas, and offer insights on modeling of other flexible space structures and constructing on-ground gravity compensation systems.

Zielgruppe

Research

Autoren/Hrsg.

Fu, Kangjia

Fachgebiete

• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Weltraumforschung
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Astronautik
• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik

Inhaltsverzeichnis

Introduction.- Multibody Modeling and Synchronization Design of Mesh Antennas.- Robust Design against Variation in Tension Forces.- Design of Gravity Compensation Systems and Assessment of Effects on Deployment.- Conclusions.

Über Autor(innen)

Dr. Kangjia Fu is currently an associate professor at Defense Innovation Institute, Chinese Academy of Military Science, Beijing, China. He completed his Ph.D. degree in dynamics and control at Tsinghua University, Beijing, from 2014 to 2019, and studied at University of California, Los Angeles (UCLA) as a visiting scholar in 2018. His main research areas are flexible multibody dynamics, including the design and optimization of deployable structures, and soft robotics with programmable metamaterials. These research results have been published in AIAA Journal, Acta Astronautica, and Advanced Functional Materials. He won the first-class scholarship at Tsinghua University, the excellent doctoral dissertation of Tsinghua University, etc.