Confluence of navigation, communication, and control in distributed spacecraft systems

This research details the development of technologies and methodologies that enable distributed spacecraft systems by supporting integrated navigation, communications, and control. The utility of operating at the confluence of navigation, communications, and control is established by demonstrating that such an approach enables fundamental operations needed to realize the promise of distributed spacecraft systems, including improved performance and robustness relative to monolithic space systems. Navigation is needed to support science data association and data alignment for distributed aperture sensing, multipoint observation, and co-observation of target regions. Communications enables autonomous distributed processing of science data. when required, and provides the infrastructure to support information exchange among space assets. Both navigation and communications, in turn, provide vital input to control methodologies for coordinating distributed autonomous assets at both the interspacecraft system level and the intraspacecraft affecter subsystem level. The development of a technological solution to implement these capabilities, the Crosslink Transceiver, is also described. The Crosslink Transceiver provides a navigation and communications capability that can be integrated into a developing autonomous command and control methodology for distributed spacecraft systems. A small satellite implementation of the Crosslink Transceiver design is detailed, including baseline physical characteristics and fundamental performance requirements. The ability of the subsystem to support broad classes of distributed spacecraft campaigns is described.

[1]  Bradford W. Parkinson,et al.  Global positioning system : theory and applications , 1996 .

[2]  Ark L. Lew,et al.  WITTEX: A Constellation of Three Small Satellite Radar Altimeters , 1999 .

[3]  Ronald E. Gibson,et al.  Ocean Sampling Mobile Network Controller , 1997 .

[4]  A. K. Garga,et al.  A neural architecture for fuzzy classification with application to complex system tracking , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

[5]  Shashi Phoha,et al.  A hierarchical structure of interacting automata for modeling battlefield dynamics: controllability and formal specification , 1996 .

[6]  Sonia R. Sachs,et al.  Design Of Platoon Maneuver Protocols For IVHS , 1991 .

[7]  P. Ramadge,et al.  Supervisory control of a class of discrete event processes , 1987 .

[8]  Stéphane Lafortune,et al.  Modeling, analysis and control of centralized and decentralized logical discrete-event systems , 1999 .

[9]  Mark A. Shayman,et al.  Formulae relating controllability, observability, and co-observability , 1998, Autom..

[10]  P. A. Stadter Discrete Event Command and Control for Formation Flying of Distributed Small Spacecraft Systems , 1999 .

[11]  Stéphane Lafortune,et al.  Decentralized supervisory control with communicating controllers , 2000, IEEE Trans. Autom. Control..

[12]  Patrick A. Stadter,et al.  Long-Baseline Differential GPS based Relative Navigation for Spacecraft with Crosslink Ranging Measurements , 2000 .

[13]  James S. Albus,et al.  An Engineering Architecture for Intelligent Systems , 1996 .

[14]  James A. Stover,et al.  A fuzzy-logic architecture for autonomous multisensor data fusion , 1996, IEEE Trans. Ind. Electron..

[15]  John Bristow,et al.  NASA/DoD University Nano-Satellites for Distributed Spacecraft Control , 1999 .