A consensus problem is proposed for second-order multi-agent systems with heterogeneous mass distribution. The motivation of this work is mainly related to spacecraft attitude coordinated control, in which gyroless configuration is considered, to avoid drift errors and design of estimation filters. The considered spacecraft includes flexible modes and coupling between the rigid and flexible dynamics. Dynamic interaction between the agents is considered. Moreover, the achievement of the consensus and robust stabilization are shown for coordinated heterogeneous multi-agent systems, for undirected and connected graph topology. Finally, the effectiveness of the proposed controller is shown for a precise pointing mission of the Crab Nebula.

Robust Consensus of Second-Order Heterogeneous Multi-Agent Systems via Dynamic Interaction / Capello, E.; Fujisaki, Y.. - ELETTRONICO. - 2020-:(2020), pp. 524-529. ((Intervento presentato al convegno 59th IEEE Conference on Decision and Control, CDC 2020 tenutosi a Jeju (KOR) nel 14-18 Dec. 2020 [10.1109/CDC42340.2020.9303865].

Robust Consensus of Second-Order Heterogeneous Multi-Agent Systems via Dynamic Interaction

Capello E.;
2020

Abstract

A consensus problem is proposed for second-order multi-agent systems with heterogeneous mass distribution. The motivation of this work is mainly related to spacecraft attitude coordinated control, in which gyroless configuration is considered, to avoid drift errors and design of estimation filters. The considered spacecraft includes flexible modes and coupling between the rigid and flexible dynamics. Dynamic interaction between the agents is considered. Moreover, the achievement of the consensus and robust stabilization are shown for coordinated heterogeneous multi-agent systems, for undirected and connected graph topology. Finally, the effectiveness of the proposed controller is shown for a precise pointing mission of the Crab Nebula.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2876032