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OPS Forum Innovative Technologies in support of Mission Operations 02.02.2007
OPS Forum Innovative Technologies in support of Mission Operations 02.02.2007
OPS Forum Innovative Technologies in support of Mission Operations 02.02.2007
OPS Forum Innovative Technologies in support of Mission Operations 02.02.2007
OPS Forum Innovative Technologies in support of Mission Operations 02.02.2007
OPS Forum Innovative Technologies in support of Mission Operations 02.02.2007
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OPS Forum Innovative Technologies in support of Mission Operations 02.02.2007

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Examining the future of space operations and preparing innovative operations concepts and associated technologies is the main objective of ESA's Advanced Mission Concepts & Technologies Office, …

Examining the future of space operations and preparing innovative operations concepts and associated technologies is the main objective of ESA's Advanced Mission Concepts & Technologies Office, ESA/ESOC.

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  • 1. Outline Innovative Technologies in • Introduction support of Mission Operations: • The Motivation Experiences and Perspectives – Future missions and future needs in operations • The Approach – Suitable working methods • The Present Alessandro Donati Advanced Mission Concepts and Technologies Office – Overview of recent activities and achievements OPS-HSC • The Future – Planned projects for the near future • Conclusion OPS-G Forum ESOC, 2.2.2007 2 Term of Reference & Objectives • Introduction • Map innovative operations concepts and associated • The Motivation functions & performance with enabling new – Future missions and future needs in operations technologies • The Approach – Suitable working methods • Promote the application of new technologies for ESA • The Present core business in spacecraft and ground segment – Overview of recent activities and achievements operations • The Future – Planned projects for the near future • Conclusion • Getting ready for future Missions with efficient, effective and proven operations technologies 3 4 Looking at the future • Introduction • Challenging missions • The Motivation – Space Exploration, Rovers, Lunar Base – Future missions and future needs in operations – Formation Flying • The Approach – Coordinated Earth Sensing – Suitable working methods • The Present – Overview of recent activities and achievements • The Future – Planned projects for the near future • Conclusion 5 6 1
  • 2. Looking at the future • Challenging Requirements : • Introduction – Onboard autonomous (re)Planning – Onboard Diagnosis & Repair Capability • The Motivation – Onboard autonomous target detection – Future missions and future needs in operations – Onboard Payload Products Management • The Approach – Radiation Hazard Management & Mitigation – Suitable working methods – Optimal & Adaptable Resource Management • The Present – Overview of recent activities and achievements – Advanced monitoring and Decision Support • The Future – Multimission Operations Automation & Supervision – Planned projects for the near future – Specialists Training & Certification • Conclusion – Launch-delay-tolerant Service Provision – …………… 7 8 Projects Characteristics Suitable working methods • Practical studies on future mission’s • From long-term goal derive step-by-step technology infusion for advanced pattern and validate it ! operational concepts – Automation on ground – Operations concepts & technology assessment – Autonomy on ground – Internal feasibility study – On-board automation – Prototype implementation – On-board autonomy – Extended operational validation as “shadow” application • Operational Environment • Comparison / competition of different – Mission Independent Ontology Definition approaches and technologies 9 10 Suitable working methods Project Workflow • Spiral iterative prototyping – Requirements & Priorities updated at each iteration – Frequent deliveries based on time, not on content Real Project Case • Extreme programming – Users part of the development team – Streamlined involvement of the user representative – Pair programming Prototype Implementation – …………… Operational Validation Delivery effort pair programming Deadline Proven Solution traditional t 11 12 2
  • 3. Project Workflow Some lessons learnt for successful technology infusion Lessons learnt/Feedback from Users/Developers Future Missions Study Teams Real R&D Spin-in • Have a common data gathering interface Project Case Universities Industry – MUST allows (remote) multi-mission data acquisition Flight/Ground Technologies – APSI will be the P&S experimental platform Control Teams Conferences Project Teams • Listen for needs & avoid forced technology push Seminars Prototype – Operations community requires new operation concept In-house Implementation Lectures, – Iterative design process with users involvement Operational Training – Show results and improvements Validation Proven • Plan for an extended validation campaign Solution – Continuous support is required for fine-tuning Infrastructure/ – Critical phase for accepting the “new” Family Missions 13 14 Gyro Diagnostic Tool Raw inputs (from TM data) Note: Different time windows • Transform raw • Transform crisp • Using the fault- • Transform the data into derived inputs into fuzzy detection model fuzzy outputs of variables for sets using (expressed in a set the model into a IDVA diagnostic process me mbership of rules), infer the crisp alarm level Gyroscope outputs • Estimate time functions diagnostic alarm level series Random • Introduction Drift • ENVISAT Gyro Random Pre- Inference De- Fuzzificat ion Noise processing Engine fuzzification performance evaluation Gyro Mode • The Motivation & diagnostic Knowledge – Future missions and future needs in operations • Based on fuzzy logic base • The Approach diagnostic engine & past – Suitable working methods operational experience • The Present • Allows early identification of – Overview of recent activities and achievements anomalous behaviour • The Future • From corrective/ – Planned projects for the near future preventive to predictive • Conclusion maintenance Supporting 15 ENVISAT 16 as of Dec. 2002 Mission Utility & Support Tools MEXAR 2 • Platform and gateway for introducing • Mars Express science & innovative technologies housekeeping data dumping in operations scheduling • Client applications include: • Based on Constraint – S/C Performance Satisfaction Programming evaluation • Allows automatic conflict – Radiation monitoring free scheduling scenario – Behavioural modelling generation & optimisation – Remote monitoring, • 50% reduction for daily alarming and diagnosis dump plan preparation & – Augmented reality S/C status awareness increased science return • Currently supporting 7 • RAXEM for TC uplink missions scheduling under • MUST server in EDDS prototyping Supporting First deployment 17 Mars Express 18 Dec. 2003 as of Oct. 2005 3
  • 4. Space Environment Information System for OPerations Other Investigations • Space weather events monitoring and spacecraft effects mitigation • Based on data warehousing • Virtual Sensor (Artificial Neural Network) and data mining techniques • Fault Analysis (Data Mining) • Allows alarming and forecasting of space weather • Reaction Wheels Bias Manoeuvre Fuel Consumption hazards (radiation belt Optimisation (Genetic Algorithm) crossing, CME protons interception) • Research institutes can make use of SEISOP for test- bedding their space weather dynamic models Supporting • Operational implementation Integral 19 20 of SEISOP on its way. as of Sept. 2005 System Level Activities • Introduction • GSP’s study on Advanced Mission Operations Concepts & Technologies for Future ESA Missions • The Motivation – Mission operations concepts assessment – Future missions and future needs in operations – Roadmap for associated enabling technology for operations – Joint OPS-HSC & OPS-HSA activity • The Approach – Suitable working methods • Definition of common Mission Ontology • The Present – Overview of recent activities and achievements • Reinforce cooperation and synergy within ESA, with NoCs and other agencies (e.g. NASA JPL) • The Future – Planned projects for the near future • Spin-on: Acquisition of industrial experience on exploiting • Conclusion technology for similar applications in other domains 21 22 Advanced Planning and Scheduling Automation of “Clerical” Tasks Initiative • APSI: Plug-in Experimental Platform for Forging • Automatic Report Generators and Validating P&S A.I. modules – SEISOP, CERTAIN, REST • Multi-user & Multi-mission • Digital Logging System • Case Studies selection under way – Multi-mission environment, web-based services • Coordinated with OPS-G MPS Framework activity • End-to-end Communication Link Supervision • Expected quantitatively and qualitatively “better” – Quality of service monitoring plans – Failure detection and diagnosis • Reuse of A.I. functional modules in operational MPS Framework 23 24 4
  • 5. Power Consumption of Thermal s/s Operations Anomaly Investigation Modelling and Root Cause Analysis • Request: forecast the expected power • Request: identify and validate a technique to consumption of Mars Express thermal s/s automatically classify recorded anomalies – Root cause identification • Approach: – Based on past orbits observation through Telemetry and • Approach: ancillary data – Case Base Reasoning technique – Complexity increased step by step – Use of Data Mining techniques – Clustering of “similar” anomalies – Parallel investigation of two Universities + internal • Automation of anomaly processing • Expected increase of payload activity through • Automated anomaly classification relaxation of power allocation margins • Decision support system for anomaly resolution 25 26 Rover Operations ATV RV & Docking Scheduler • Installation of remote Rover M&C system at ESOC • Decision Support Tool for: – Acquisition of rover operations expertise – RV & Docking Scenarios generation – Operational feedback to ESTEC Robotic section – Docking opportunities evaluation • Investigation on technology for autonomy – Nominal RV&D timeline generation concept – Back-up RV&D opportunities selection – Support prototyping of remote agents for • Based on Constraint Programming (A.I.) planning, execution and repair 27 28 Technology Infusion in Operations Near Future Missions & Challenges & Challenges • Increased level of automation and • Validation and Robustness of Implemented Solutions autonomy – Use of “shadow” system for extended operational validation, before use • Risk assessment and risk mitigation – Testing policy • Increased expectations in science return • Transfer of functionalities from ground to space • Optimisation in resources exploitation – Synergy between spacecraft engineering & operations communities (D/TEC, D/OPS) – Gradual steps from ground to space segment, including on- ground validated automation and autonomy concepts – On-board “standard” SW platform 29 30 5
  • 6. Vision for the future… Vision for the future… • Make use of node-based architecture • Plan for A.I. Technology Demonstration Mission – Satellite(s), Rover(s) and Mission Control(s) are – To validate advanced operations concepts considered functional nodes • Autonomous planning & scheduling • Autonomous exec monitoring & diagnosis – Functions are transferred btw. nodes as needed • Supervision based operations • mission phases, – To facilitate A.I. infusion in support of mission operations • contingencies, tasks • information availability, goals… • Increase Inter-Agencies Synergy – Enabled by agent technology – on A.I. prototyping and exploitation experiences 31 32 Innovative Technologies in support of Mission Operations: Experiences and Perspectives Conclusion Thank you for your attention ! • Infusion of technology is beneficial for Time for questions… mission operations • Future missions will require further level of automation and autonomy • For mitigating risks a step-by-step validation Technology Infusion for process is required Mission Operations • Mission Operations requires additional of Future Missions Validated on Current funding from ESA R&D programmes Flying Missions 33 34 6

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