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CEAS EuroGNC 2019

Distributed model independent algorithm for spacecraft synchronization under relative measurement bias
Himani Sinhmar Undergraduate Student, Department of Aerospace Engineering, Indian Institute of Technology Bombay, Bombay, India
Sukumar Srikant Associate Professor, Systems and Control Engineering, Indian Institute of Technology Bombay, Bombay, India
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.
Keywords: Adaptive control; Multi-vehicle cooperative decision and control; Nonlinear control
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Himani Sinhmar, Sukumar Srikant: Distributed model independent algorithm for spacecraft synchronization under relative measurement bias. Proceedings of the 2019 CEAS EuroGNC conference. Milan, Italy. April 2019. CEAS-GNC-2019-060.
BibTeX entry:

@Incollection{CEAS-GNC-2019-060,
    authors = {Sinhmar, Himani and Srikant, Sukumar},
    title = {Distributed model independent algorithm for spacecraft synchronization under relative measurement bias},
    booktitle = {Proceedings of the 2019 {CEAS EuroGNC} conference},
    address = {Milan, Italy},
    month = apr,
    year = {2019},
    note = {CEAS-GNC-2019-060}
}