Collision Avoidance "Short Course" Part I: Theory
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In this whitepaper, we call for the concept of biomanufacturing to be expanded and widely adopted as a support function of human Space-travel. To demonstrate the impact and value of this strategy, we identify the specific offworld scenarios where the concept is most applicable, as well as the vital inventories that can be made available thereby. This will serve to increase capabilities of human operations beyond Earth-orbit and allow for extended mission design through greater autonomy while minimizing risks through redundancy. To this end, we sketch the potential routes and systems to arrive at these goals, in the form of specialized microbial cell factories that can most meaningfully leverage the resources available along the journey. The strategic vision presented here relies heavily on Synthetic Biology as it integrates with major plans for In Situ Resource Utilization and highlights applications that engineered biology is uniquely suited to address. We finish by advocating for the research and development investments that need to be made in order to significantly increase readiness of these technologies over the coming decade. This dovetails with current efforts to return humans to the Moon with Mars on the horizon. Besides ensuring the feasibility and sustainability of crewed Space exploration and habitation, the advancement of these technologies may spawn a new scalable microgravity-based biotechnology industry that contributes to the creation of a circular economy on Earth.
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There is currently a need for advanced guidance and targeting algorithms that can provide real-time trajectories in the presence of state and vehicle constraints during powered descent. The Safe & Precise Landing Integrated Capabilities Evolution (SPLICE) program aims to mature Hazard Detection (HD) technology along with advanced navigation and guidance algorithms. This paper will report the overall performance of the SPLICE Dual Quaternion Guidance (DQG) algorithm which is a 6-Degree-of-Freedom (6-DOF) convex optimization-based guidance algorithm that can enforce multiple vehicle and state constraints required for Hazard Detection Lidar (HDL) scans during the approach phase. DQG was tested in a closed-loop lunar descent simulation with realistic HDL sensing constraints in a Monte Carlo assessment of 1000 dispersed runs.
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As more space operators implement large constellations of spacecraft, automating orbit maintenance maneuvers becomes a key feature of their operations concept to ensure that the workload is manageable. However the practice of performing a maneuver without sharing the plan with other nearby spacecraft causes a risk that two spacecraft will collide, not only destroying the spacecraft involved, but creating debris that will affect all other spacecraft using that orbit regime. In order to share the maneuver plan, a predicted ephemeris file containing the maneuver must be sent to a central authority to screen against predicted trajectories of all other on-orbit objects to determine where and when close approaches may occur that need to be mitigated. Currently the screening authority used by US operators is the 19th Space Defense Squadron. However the conjunction screening process in use by the 19th was developed over 30 years ago and was not designed with automation in mind, so screenings are performed once every 8 hours, meaning that spacecraft using automated maneuvering need to allow 16 hours to share their maneuver plan via the screening process. Many operators assume that automated maneuver planning must be real-time; however this time between planning and execution to allow for screening is possible if planned for during system design. In an effort to speed up the screening process, NASA has developed a prototype system for performing near-real-time screenings. This prototype system was necessitated to support the NASA Starling mission, a constellation of 4 cubesats that planned to fly at the same altitude as the SpaceX Starlink constellation, both performing automated maneuvering. Without screening of the planned maneuvers, the two constellations risked a collision. Once converted from a prototype to an operational system, this capability will greatly help smallsats, for example those that are planning to test propulsive capabilities, by allowing fast turnaround feedback to ensure safety form collision with other objects. This paper describes the existing CA process, the prototype real-time capability, and results from the experiment that tested the prototype.
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