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Research Article | Open Access |

Attitude Synchronization and Stabilization for Multi-Satellite Formation Flying with Advanced Angular Velocity Observers

Author 1: Belkacem Kada Author 2: Khalid Munawar Author 3: Muhammad Shafique Shaikh
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 14, No. 8 · Published 2023

DOI: https://doi.org/10.14569/IJACSA.2023.0140832

Abstract

This paper focuses on two aspects of satellite formation flying (SFF) control: finite-time attitude synchronization and stabilization under undirected time-varying communication topology and synchronization without angular velocity measurements. First, a distributed nonlinear control law ensures rapid convergence and robust disturbance attenuation. To prove stability, a Lyapunov function involving an integrator term is utilized. Specifically, attitude synchronization and stabilization conditions are derived using graph theory, local finite-time convergence for homogeneous systems, and LaSalle's non-smooth invariance principle. Second, the requirements for angular velocity measurements are loosened using a distributed high-order sliding mode estimator. Despite the failure of inter-satellite communication links, the homogeneous sliding mode observer precisely estimates the relative angular velocity and provides smooth control to prevent the actuators of the satellites from chattering. Simulations numerically demonstrate the efficacy of the proposed design scheme.

Keywords

How to Cite this Article

Belkacem Kada, Khalid Munawar and Muhammad Shafique Shaikh. "Attitude Synchronization and Stabilization for Multi-Satellite Formation Flying with Advanced Angular Velocity Observers". International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 14, No. 8, 2023. https://doi.org/10.14569/IJACSA.2023.0140832

BibTeX

@article{Kada2023,
  title     = {Attitude Synchronization and Stabilization for Multi-Satellite Formation Flying with Advanced Angular Velocity Observers},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {14},
  number    = {8},
  year      = {2023},
  publisher = {The Science and Information Organization},
  author    = {Belkacem Kada and Khalid Munawar and Muhammad Shafique Shaikh},
  doi       = {10.14569/IJACSA.2023.0140832},
  url       = {https://doi.org/10.14569/IJACSA.2023.0140832}
}

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