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OPS Forum Innovative Technologies 02.02.2007
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OPS Forum Innovative Technologies 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 ESOC's Advanced Mission Concepts and Technologies Office.

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

This seminar will focus on recent experiences with advanced technologies exploitation and working methods as well as on the outlook for future activities.

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    OPS Forum Innovative Technologies 02.02.2007 OPS Forum Innovative Technologies 02.02.2007 Presentation Transcript

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