EuroGNC 2019 Paper Abstract

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Paper FrM13.1

Sinhmar, Himani (Indian Institute of Technology Bombay), Sukumar, Srikant (IIT Bombay)

Distributed Model Independent Algorithm for Spacecraft Synchronization under Relative Measurement Bias

Scheduled for presentation during the Regular Session "Adaptive control" (FrM13), Friday, April 5, 2019, 09:00−09:30, BL281.2

5th CEAS Conference on Guidance, Navigation and Control, April 3-5, 2019, Milano, Italy

This information is tentative and subject to change. Compiled on April 19, 2024

Keywords Adaptive control, Multi-vehicle cooperative decision and control, Nonlinear control

Abstract

This paper addresses the problem of distributed coordination control of spacecraft formation. It is assumed that the agents measure relative positions of each other with a non-zero, unknown constant sensor bias. The translational dynamics of the spacecraft is expressed in Euler-Lagrangian form. We propose a novel distributed, model independent control law for synchronization of networked Euler Lagrange system with biased measurements. An adaptive control law is derived based on Lyapunov analysis to estimate the bias. The proposed algorithm ensures that the velocities converge to that of leader exponentially while the positions converge to a bounded neighborhood of the leader positions. We have assumed a connected leader-followers network of spacecraft. Simulation results on a six spacecraft formation corroborate our theoretical findings.

 

 

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