Laboratory Experimentation of Guidance and Control of Spacecraft During On-Orbit Proximity Maneuvers

The traditional spacecraft system is a monolithic structure with a single mission focused design and lengthy production and qualification schedules coupled with enormous cost. Additionally, there rarely, if ever, is any designed preventive maintenance plan or re-fueling capability. There has been much research in recent years into alternative options. One alternative option involves autonomous on-orbit servicing of current or future monolithic spacecraft systems. The U.S. Department of Defense (DoD) embarked on a highly successful venture to prove out such a concept with the Defense Advanced Research Projects Agency’s (DARPA’s) Orbital Express program. Orbital Express demonstrated all of the enabling technologies required for autonomous on-orbit servicing to include refueling, component transfer, autonomous satellite grappling and berthing, rendezvous, inspection, proximity operations, docking and undocking, and autonomous fault recognition and anomaly handling (Kennedy, 2008). Another potential option involves a paradigm shift from the monolithic spacecraft system to one involving multiple interacting spacecraft that can autonomously assemble and reconfigure. Numerous benefits are associated with autonomous spacecraft assemblies, ranging from a removal of significant intra-modular reliance that provides for parallel design, fabrication, assembly and validation processes to the inherent smaller nature of fractionated systems which allows for each module to be placed into orbit separately on more affordable launch platforms (Mathieu, 2005). With respect specifically to the validation process, the significantly reduced dimensions and mass of aggregated spacecraft when compared to the traditional monolithic spacecraft allow for not only component but even full-scale on-the-ground Hardware-In-the-Loop (HIL) experimentation. Likewise, much of the HIL experimentation required for on-orbit servicing of traditional spacecraft systems can also be accomplished in ground-based laboratories (Creamer, 2007). This type of HIL experimentation complements analytical methods and numerical simulations by providing a low-risk, relatively low-cost and potentially highreturn method for validating the technology, navigation techniques and control approaches associated with spacecraft systems. Several approaches exist for the actual HIL testing in a laboratory environment with respect to spacecraft guidance, navigation and control. One 11

[1]  A. D. Lewis,et al.  Configuration Controllability of Simple Mechanical Control Systems , 1997 .

[2]  Edward A. LeMaster,et al.  Experimental Demonstration of Technologies for Autonomous On-Orbit Robotic Assembly , 2006 .

[3]  Marcello Romano,et al.  Autonomous Proximity Operations of Small Satellites with Minimum Numbers of Actuators , 2007 .

[4]  H. Sussmann A general theorem on local controllability , 1987 .

[5]  Annalisa L. Weigel,et al.  Assessing the Flexibility Provided by Fractionated Spacecraft , 2005 .

[6]  Kazuo Machida,et al.  Maneuvering And Manipulation Of Flying Space Telerobotics System , 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  A. D. Lewis,et al.  Geometric Control of Mechanical Systems , 2004, IEEE Transactions on Automatic Control.

[8]  Marcello Romano,et al.  Laboratory Experimentation of Autonomous Spacecraft Approach and Docking to a Collaborative Target , 2007 .

[9]  Arthur Gelb,et al.  Applied Optimal Estimation , 1974 .

[10]  Francesco Angrilli,et al.  Coordinated control for free-flyer space robots , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

[11]  Steven M. LaValle,et al.  Planning algorithms , 2006 .

[12]  Bong Wie,et al.  Space Vehicle Dynamics and Control , 1998 .

[13]  E. F. Breitfeller,et al.  Micro-satellite ground test vehicle for proximity and docking operations development , 2001, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542).

[14]  Sussmann Nonlinear Controllability and Optimal Control , 1990 .

[15]  X. Roser,et al.  Control Moment Gyroscopes (CMG's) and their Application in Future Scientific Missions , 1997 .

[16]  Jason S. Hall Design and Integration of a Three Degrees-of-Freedom Robotic Vehicle with Control Moment Gyro for the Autonomous Multi-Agent Physically Interacting Spacecraft (AMPHIS) Testbed , 2006 .

[17]  Stephen L. Canfield,et al.  Development of the Carpal Robotic Wrist , 1997, ISER.

[18]  Marcello Romano,et al.  A ballistic-pendulum test stand to characterize small cold-gas thruster nozzles , 2009 .

[19]  David W. Miller,et al.  Design of an algorithm for autonomous docking with a freely tumbling target , 2005, SPIE Defense + Commercial Sensing.

[20]  Marc Albert Ullman Experiments in autonomous navigation and control of multi-manipulator, free-flying space robots , 1993 .