PRE2019 1 Group1
Autonomous systems for space traffic management
Group Members
| Name | Study | Student ID |
|---|---|---|
| Stijn Eeltink | Mechanical Engineering | 1004290 |
| Laura Kulter | Psychology&Technology | 0851512 |
| Annelies Severens | Biomedical Engineering | 1232787 |
Planning
Each week will consist of two meetings. Prior to each meeting the team will work individually on the tasks they have been assigned for that meeting. During the meetings the results of these tasks will be discussed and finalized.
L = Laura, S = Stijn, A = Annelies.
| Week | Monday (morning) | Wednesday (afternoon) |
| 1 | ALL : choose topic | ALL : literary research problem definition make the planning define structure of the report |
|---|---|---|
| 2 | L : introduction/problem statement L : wiki page A : state of the art |
ALL : PCR A: state of the art S : stakeholders L : introduction/problem statement L : edit planning in wiki |
| 3 | political aspects economical aspects technical aspects (state of the art) PCR |
political aspects economical aspects technical aspects |
| 4 | political aspects economical aspects technical aspects (effects of the solution) Intermediate evaluation (peer review) |
political aspects economical aspects technical aspects (effects of the solution) |
| 5 | concept discussion conclusion first draft |
Hand in first version for feedback |
| 6 | discuss feedback |
implement feedback |
| 7 | finalize report and wiki |
Final evaluation (peer review) finalize report and wiki |
| 8 | Presentation Deadline : report and wiki |
Introduction
On Monday morning September 2nd the European Space Agency had to fire the thrusters of its Aeolus satellite to avoid a collision with Starlink44.[9]
While space debris has been a big threat to active satellites for a long time (previous 0LAUK0 groups have done extensive research on that topic before and presented several good solutions), there is a long time ignored issue that might become an even bigger threat to active satellites in the near future. Currently there are several organizations that plan to launch thousands of satellites up into earth’s orbit in the next several years. These range from governments like the UK planning to launch 2000 satellites by 2030[10] to large companies like SpaceX planning to launch 12000 satellites for its Starlink constellation.[10] If we compare this to the currently 4987[10] satellites in orbit, of which 1957[10] are still active and functional, we quickly see how ‘full’ the currently quite ‘empty’ space around earth will become in the near future.
All of this increases the risk of these satellites colliding with each other exponentially. Right now these collisions are avoided by ad hoc and human interference, this is however a solution that isn’t feasible in the future where instead of a ‘few’ 1 on 1 collisions we will start running into constellations(satellite fleets) running into collision courses with other constellations, which would require maneuvering thousands of satellites. In this project we will examine the current state of the art, stake holders and explore how autonomous space traffic management AI’s might help in solving this upcoming threat and try to give a recommendation about which system looks the most promising for the future.
Problem Statement
As stated on the introduction this project will focus on the need for an autonomous space traffic management system (henceforth called ASTM). The main reason for the need of such a system is the ever increasing presence of active satellites in low earth orbit, which will make it no longer feasible in the near future to avoid collisions by depending on human input. The goal of a good working ASTM system is to solve the following problems:
- -Autonomous space flight and collision avoidance of all participating members. The group of members can run into the thousands, meaning that the system should be able to take into account large 3D flight models;
- -Because there can be many different participating members, from small private owners to large constellations owned by governments or companies, the system will need to be able to easily adept to different messaging structures and types of satellites. Rather than trying to enforce a single new program structure the system will have to be able to work with as many existing and future systems as possible;
- -The system is meant to be an autonomous third party assistant, not an owner. For instance a company could develop and license this system to satellite owners who want access to easy STM. This would mean that the system needs to ensure that participating members are always able to take back control of their spacecraft should a license end or a conflict between parties arise;
- -The system should be impartial. Meaning it should never sacrifice a satellite in favour of another satellite (government vs private owner). However the system should also be able to react to unavoidable situations(though these will be very unlikely to happen), in which case it might inquire human parties to negotiate which satellite(s) will be sacrificed;
Because of the international space treaties (SOURCE OF LAW NEEDED) there are currently no rules in STM and no single entity is able to enforce whatever rules it creates. This means that ASTM systems will need to take several additional problems into account:
- -An ASTM system will need to not just take participating members into account, but should also be able to react to non-participating members which it is has no control over;
- -The system should be able to work with incomplete or not totally accurate information, this is especially likely with military satellites who might disclose false or incomplete information regarding the existence and manoeuvres of strategic satellites;
(Bonus) A nice additional feature would be if the ASTM system incorporates self-learning algorithms. Especially to predict future flight paths or future possible collisions and avoid them early on to perhaps decrease the risk of situations where the loss of satellites is unavoidable and to maybe even lower the needed amount of manoeuvres since the amount of times a satellite can manoeuvre is a very limited resource. (REQUIRES SOURCE)
State of the art
At the moment, there are no international or even national Space Traffic Management systems. However, because of the increasing amount of non-governmental organizations executing space activities, rules are needed to ensure safety in air space. Generally speaking, Space Traffic Management can be defined by the safety insurance of: 1. Safe access to outer space, 2. The conduction of operations in outer space, and 3. The return of space objects from outer space free from interference of any form.[1]
Currently, the Outer Space Treaty forms a basis of international space law.[2] The treaty was opened in 1967, when the United States, the United Kingdom and the Soviet Union signed the treaty. More countries followed in the coming years. As of 2019, 109 countries are parties of the treaty. This treaty focuses on the limitation of the use of celestial bodies and restricts nations from claiming sovereignty of outer space. It does not include any legal regulation of a Space Traffic Management. At the time that the treaty was set up, the STM concept was not considered a priority. In 2015, the UNCOPUOS committee had received approval to add STM as an agenda item in 2016.[3]
The Cosmic Study from IAA created a definition for STM. It was the first step, but too premature to implement any regulations limiting freedom.[4]
The 2016 “Orbital Traffic Management Study – Final Report” does not contain a definition for space traffic management. Instead, it provides a definition for Space Traffic Safety. Management would imply centralized command and control, which was seen as problematic.[5]
The 2017 German Aerospace Center (DLB) White paper on the “Implementation of a European Space Traffic Management System” defines STM as:[6]
According to [1] a national system will be most probably implemented before an international regime. This also has to do with data sharing between governmental and non-governmental organizations. Over the years, there have been different definitions and approaches to STM from the United States, European Space Agency (ESA) and the International Academy of Astronautics (IAA). However, they have some similar key operations, one of which is collision avoidance. This focuses on point 2. of Space Traffic Management: the conduction of operations in outer space. At the moment, ground operators make decisions, which might not always be optimal. The use of machine learning, artificial intelligence, is being explored to support ground operators when planning and implementing collision avoidance manoeuvres.[7] This is one application that artificial intelligence can be used for. In [8] an initial architecture for a Space Traffic Management system is proposed, based on open Application Programming Interfaces (APIs). The use of machine learning in complete STM systems is being explored at the moment, a great step towards complete autonomous STMs.
Stake Holders
Political
Technical
Economics
Preferences, Constraints, Requirements (PCR)
Concept
Rational Agent Models
Conclusion
References
[1] (https://iislweb.org/docs/Diederiks2017.pdf)
[2] http://www.unoosa.org/pdf/publications/STSPACE11E.pdf
[3] UN General Assembly resolution A/RES/70/82, “International cooperation in the peaceful uses of outer space”, 21 December 2015 Online: http://www.unoosa.org/oosa/oosadoc/data/resolutio ns/2015/general_assembly_70th_session/ares7082. html, (accessed 06.09.2017);
[4] K.U. Schrogl, “Space Traffic Management: The new comprehensive approach for regulating the use of outer space – Results from the 2006 IAA cosmic study”, Acta Astronautica 62, 2008, pp. 272-276
[5] O.Brown et al.: “Orbital Traffic Management Study – Final Report”, prepared for National Aeronautics and Space Administration (NASA) Headquarters, prepared by Science applications InternationalCorporation(SAIC),21November 2016.
[6] R. Tüllmann et al.: “On the Implementation of a European Space Traffic Management System – Volume I. A White Paper; Volume II. The Safety and Reliability Strategy; Volume III. Technical Requirements”, conducted on behalf of European Space Agency (ESA) by German Aerospace Center (DLR) and partner Institutes and Companies, 27 April 2017.
[7] file:///C:/Users/20166004/Downloads/artificial-intelligence-support1.pdf : more explanation about collision maneuvers
[8] https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20180007349.pdf