Fast Model Predictive Control for Spacecraft Rendezvous and Docking with Obstacle Avoidance

摘要

No AccessEngineering NotesFast Model Predictive Control for Spacecraft Rendezvous and Docking with Obstacle AvoidanceCourtney Bashnick and Steve UlrichCourtney BashnickCarleton University, Ottawa, Ontario K1S 5B6, Canada and Steve UlrichCarleton University, Ottawa, Ontario K1S 5B6, CanadaPublished Online:9 Mar 2023https://doi.org/10.2514/1.G007314SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations About References [1] Nolet S., "Development of a Guidance, Navigation and Control Architecture and Validation Process Enabling Autonomous Docking to a Tumbling Satellite," Ph.D. Thesis, Massachusetts Inst. of Technology, Cambridge, MA, 2007. Google Scholar[2] Lopez I. and Mclnnes C. R., "Autonomous Rendezvous Using Artificial Potential Function Guidance," Journal of Guidance, Control, and Dynamics, Vol. 18, No. 2, 1995, pp. 237–241. https://doi.org/10.2514/3.21375 LinkGoogle Scholar[3] Hough J. and Ulrich S., "Cascaded Lyapunov Vector Fields for Acceleration-Constrained Spacecraft Path Planning," Journal of Guidance, Control, and Dynamics, Vol. 45, No. 11, 2022, pp. 2076–2090. https://doi.org/10.2514/1.G006260 LinkGoogle Scholar[4] McCamish S. B., Romano M., Nolet S., Edwards C. M. and Miller D. W., "Flight Testing of Multiple-Spacecraft Control on SPHERES During Close-Proximity Operations," Journal of Spacecraft and Rockets, Vol. 46, No. 6, 2009, pp. 1202–1213. https://doi.org/10.2514/1.43563 LinkGoogle Scholar[5] Muñoz J. D., "Rapid Path-Planning Algorithms for Autonomous Proximity Operations of Satellites," Ph.D. Thesis, Univ. of Florida, Gainesville, FL, 2011. Google Scholar[6] Zappulla R., Park H., Virgili-Llop J. and Romano M., "Real-Time Autonomous Spacecraft Proximity Maneuvers and Docking Using an Adaptive Artificial Potential Field Approach," IEEE Transactions on Control Systems Technology, Vol. 27, No. 6, 2018, pp. 2598–2605. https://doi.org/10.1109/TCST.2018.2866963 Google Scholar[7] Hovell K. and Ulrich S., "On Deep Reinforcement Learning for Spacecraft Guidance," AIAA Scitech 2020 Forum, AIAA Paper 2020-1600, Jan. 2020. https://doi.org/10.2514/6.2020-1600 Google Scholar[8] Hovell K. and Ulrich S., "Deep Reinforcement Learning for Spacecraft Proximity Operations Guidance," Journal of Spacecraft and Rockets, Vol. 58, No. 2, 2021, pp. 254–264. https://doi.org/10.2514/1.A34838 LinkGoogle Scholar[9] Hovell K. and Ulrich S., "Laboratory Experimentation of Spacecraft Robotic Capture Using Deep-Reinforcement-Learning–Based Guidance," Journal of Guidance, Control, and Dynamics, Vol. 45, No. 11, 2022, pp. 2138–2146. https://doi.org/10.2514/1.G006656 LinkGoogle Scholar[10] Boyarko G. A., "Spacecraft Guidance Strategies for Proximity Maneuvering and Close Approach with a Tumbling Object," Ph.D. Thesis, Naval Postgraduate School, Monterey, CA, 2010. Google Scholar[11] Jewison C., Erwin R. S. and Saenz-Otero A., "Model Predictive Control with Ellipsoid Obstacle Constraints for Spacecraft Rendezvous," IFAC-PapersOnLine, Vol. 48, No. 9, 2015, pp. 257–262. https://doi.org/10.1016/j.ifacol.2015.08.093 CrossrefGoogle Scholar[12] Park H., Zagaris C., Virgili Llop J., Zappulla R., Kolmanovsky I. and Romano M., "Analysis and Experimentation of Model Predictive Control for Spacecraft Rendezvous and Proximity Operations with Multiple Obstacle Avoidance," AIAA/AAS Astrodynamics Specialist Conference, AIAA Paper 2016-5273, Sept. 2016. https://doi.org/10.2514/6.2016-5273 Google Scholar[13] Park H., Zappulla R., Zagaris C., Virgili-Llop J. and Romano M., "Nonlinear Model Predictive Control for Spacecraft Rendezvous and Docking with a Rotating Target," 27th AAS/AIAA Spaceflight Mechanics Meeting, Vol. 2, AAS Paper 17-496, Univelt, San Diego, CA, Feb. 2017. Google Scholar[14] Malyuta D., Reynolds T. P., Szmuk M., Lew T., Bonalli R., Pavone M. and Acikmese B., "Convex Optimization for Trajectory Generation," arXiv Preprint, June 2021. https://doi.org/10.48550/arXiv.2106.09125 Google Scholar[15] Lu P. and Liu X., "Autonomous Traject