Uninhabited Aircraft Systems (UAS) - Addressing Battlespace Challenges -

Transcription

1 Uninhabited Aircraft Systems (UAS) - Addressing Battlespace Challenges - Infosymbiotics/DDDAS Meeting Boston, 7-9 Aug 2017 Integrity Service Excellence Ms. Grizelda Loy-Kraft Turbine Engine Division Aerospace Systems Directorate Grizelda.Loykraft@us.af.mil 1

2 Air Operations Redefined for 2035 BLUF UAS Building our new strategy: IT-Centric Reconfigurable Technologies New Enterprise Architecture (EA) needed to deliver UAS assets efficiently and affordably 3-5 year Development Cycle Fewer, smaller, lighter, cheaper, and change often Unprecedented interoperability Vast increase in processing capabilities & secure communication Miniaturization of technology measured in micro, nano, etc. Are you ready? Are we ready? 2

3 Overview Why UAS plays a key role in future US Air Force missions Critical capabilities for operating in a multi-domain environment Global participation is required Future UAS assets must perform many roles & missions AFRL is developing a new Business Model aligning UAS Technology with customer needs On-board healthmanagement UAS subsystem technologies Integrated power & thermal challenges Take Action Now and plan for the Way Forward 3

4 USAF will Operate in Multi-Domain Environments Air Force must build an: integrated network of air, space, and cyberspace-based sensors leveraging joint contributions fromall domains integrated network and architecture enable more rapid and effective decisions from the tactical to the operational level Planning for the future requires a full and integrated understanding of the ways Air Force and service capabilities work together to deliver joint warfighting effects, said Lt. Gen. James M. Holmes, the deputy chief of staff for strategic plans and requirements....air Force domains and core functions, along with the requirements, acquisition, and (S&T) communities to collaboratively examine, comprehend and quantify operational needs and propose defendable, achievable, and affordable solutions. Developing and delivering air superiority for the highly contested environment in 2030 requires a multi-domain focus on capabilities and capacity. Unmanned Aircraft System (UAS) Service Demand requires unprecedented interoperability Key capability development efforts in this area include: 1. Data-to-Decision Campaign of Experiments: machine-to-machine options for turning data into information and knowledge allowing humans to make decisions options and opportunities for building the appropriate architectures necessary to integrate and network family of capabilities and leverage big data analytics. 2. ISR Collect and Persistent ISR: ISR capabilities focused on multi-domain alternatives for placing the right sensor in the right place at the right time. 3. Penetrating Counter-air: maximizing tradeoffs between range, payload, survivability, lethality, affordability, and supportability. 4. Agile Communications: capability development of responsive, adaptable network architectures with functionality across multiple platforms, weapons, apertures, and waveforms operating in the highly contested environment 4

5 The Global Players ~ Future Operating Concepts ~ Projecting_Power-Canadas_Air_Force_2035_e.pdf NATO DOT & NASA o+rotocraft&src=ie- TopResult&FORM=IETR02&conversationid= UK CANADA THIS IS AN ALL-IN JOINT DISCUSSION AT OUR HIGHEST LEADERSHIP LEVEL! FAA JOINT SYSTEMS + IT = Multi-Domain Agility NATO 5

6 Where are we today? Data & Models CORPORATE ASSETS Data has VALUE On & Off Board data services Tomorrow User-centric IT Multi-domain Promoted Recreational & Stovepiped Data Collection Profusion and diversity of data and models contributed to incoherence Incoherence becomes an obstacle to interoperability Promoted stale and obsolete tools, because it was too difficult to change Challenges Of Big Data Environments Data expressed in multiple formats and distributed across the enterprise New data rapidly enters environments and data models are application specific User information needs frequently change Predictive Analytics Prescriptive Analytics D-BILT Provides The Baseline To Enable Design, Health Management and Data CLEARED for public release by 88ABW on 27 Apr

7 The Mission is Changing ~ Future Operating Concepts 2035 ~ The Central Idea: OPERATIONAL AGILITY Superior Decision Speed in Multi-domain options Modular/ configurable systems/capabilities - rapid adaptation /upgrades Uninhabited precision strike assets and mission-configurable payloads Efficient and cost-effective systems Emphasis on capabilities Ability to find, fix, track, target, engage Assess effects in highly contested environments Mindset that intuitively considers multi-domain options Improve policies, processes, and organizations Achieving Adaptive Multi- Domain Requirements & Unprecedented interoperability User-centric IT Emphasis replacing IT Centric Obtaining, sharing, & releasing pertinent multi-domain intelligence with Joint, interagency, and international partners As integrator, the Air Force will define technical baselines, common architectures and ensure modularity and responsiveness to Warfighters needs in a dynamic strategic environment CLEARED for public release by 88ABW on 27 Apr

8 Future UAS Fleet Requires a New Business Model for AFRL Operations of S&T and Our OEMs Our Products Pace & Quantity USAF intent to acquire a limited number of high-cost/high-capability platforms and many lower-cost/lower-capability platforms Reconfigurable to mission Autonomous USAF Intent To Acquire A Limited High-cost/High-capability Platforms and Many Lower-cost/Lower-capability Platforms Ref: USAF Future Ops 2035, Gen Welch Many same kind or types Reconfigurable change often...like a new IPhone 8

9 Making Data More Accessible for Actionable Decisions Storage solution agnostic Modular Entity Geo location Process Temporal Quality Artifacts Data agnostic workflows Ontology/ Interoperability Direct access Human readability & consumption Data connections mapped & integrated Flexibility in modeling knowledge data driven vs. entity-driven Common Access User Interface Roadmap to Knowledge Promote reuse Mapping data to code Subject-predicate-object Database queries - (weather, DB-pedia) Our Visualization Control over Business Rules Analytics Finding outliers against thresholds Information Technology Needs To Enable US To Work Smarter better We Can t Introduce Old Vulnerabilities Into New Systems CLEARED for public release by 88ABW on 27 Apr

10 Our IoT Integration Design Towards Digital Twin Lifing Towards Digital Twin Engine Performance IoT Process Workflow Health & usage technology maturation Design Models Component Design Standards for Engine Life-Limited Parts Integrated Computational Materials Sci & Eng Modelling & Testing Manufacturing & Repair technologies Propulsion Internet of Things Integrated Controls, Thermal, Power, & Architectures Health & usage technologies Test Facilities PHM architectures and visualisations Fuels and lubricant monitoring Enterprise Architecture Ontology Virtual Collaborative EnvironmentDigital Thread Digital Twin Analytics Augmented Reality Intelligent Health Management is No Longer a luxury or an OFF-board thing we do It is an Autonomous ON-Board Capability Necessity CLEARED for public release by 88ABW on 27 Apr

11 UAS STRATEGY Multi-domain Operation is IT Centric Capabilities SUCCESSFUL DEVELOPMENT OF UAS ASSETS DEPENDS ON DT/DTW APPROACHES ON & OFF-BOARD FOR RAPID RESPONSE TO CUSTOMER NEEDS, AFFORDABILITY, AND THE CAPABILITY TO ACHIEVE ORDNANCE ON TARGET IT-CENTRIC PLAN REDUCE COMPLEXITY OF DATA & MODELS IMPROVE INTEROPERABILITY ACCELERATE DESIGN PACE EMPLOY DATA SCIENCES & ANALYTICS FUNCTIONAL PLAN 1. MAKE IT WORK 2. MAKE IT LESS COMPLEX 3. MAKE IT PLUG & PLAY Integration ready Interoperable Backward & forward compatible 4. MAKE IT LAST 5. MAKE IT AT LOWEST COST ONE DATA MANAGEMENT PLAN OF INTEROPERABILITY & REUSEABILITY MODELS/TOOLS CREATING, ENRICHING, AND MANAGINGSEMANTIC VOCABULARY STD LANGUAGE IS ESSENTIAL 1

12 UAS TECHNOLOGY & CUSTOMER NEEDS MOVING TO BUILDING A BUSINESS CASE 12

13 FUTURE ON-BOARD HEALTH MANAGEMENT Unleashing Information and Technology Transformation Intelligent Health Management is No Longer a luxury or an OFF-board thing we do It is an Autonomous Capability Necessity: Laden with models, tools, algorithms prognosis, prescribing, and self healing technologies On-board computing intranet managing resources, security, models and communication Autonomous lower cost...is not cheap in performance or quality BIG ROCK.MODELING HAS TO GET A LOT BETTER, FASTER, ACCURATE, COLLABORATIVE, & INTEGRATED 13

14 UAS Subsystem Technology: How will you help? Airframe Propulsion Command & Control (C2) Sensors Information processing Integrated Power and Thermal Software complexity reduction Frangibility & Self destruction Integrated Architectures Autonomous Intelligent System Health Monitoring & Management TECHNICAL CHALLENGES : Efficiently recuperate energy while satisfying thermal and power BIG CHALLENGES: Scale down, reusable chassis, miniaturization, alt. fuels On-board Minimum model set (twin), Min-sensor suite; Controls & PHM Formation flight impacts Autonomous, formation positional energy and fuel planning Operationsin degraded visual environment and other extreme particulates Autonomous mission Pre-programmed & artificial intelligence to adapt to battlespace Detect, Sense, and Avoid Detect, Sense, & ADJUST Detect, Sense, & FIX Detect, Sense, & Compensate Detect, Sense, & Assess Risk Develop Course of Action, Communicate, Direct/Redirect SOFTWARE Info to/from expert gliders, other UAS, weather, GPS, etc. Self destruct mode Formation flight & wake s sweet spot Operations in degraded visual & other extremes environments BIG CHALLENGES: Miniaturization, Microminiaturization Micro electro mechanical devices (MEMS); Integrated computer application chips (ASIC); Edge computing; Fiber optics Virtual machines & unikernel technology Factors that hinder or assist in the future: Standardization of data format, data bus, etc Adaptation of space-based & combat-hardened instruments to civil environment Laser advancement; Résistance to Environnent Particule FOD Information systems: Increased complexity & demand for high processing power and high-capacity data storage solutions Needs: Treat data and models as corporate assets Concerted effort -software model/tool complexity reduction; improved accuracy Address skills required to Design, Mfg, Prog, Test & Use Create agile standards that drive interoperability Secure communications and security quality control of code Electrical laser systems Fewer, smaller, lighter, cheaper, and change often Ultra-precise, multiple-shot, weaponized lasers Stealthy engagements at longer ranges with less dwell Ready to handle new units and control parameters Femto and pico second pulses Revolutionized sensors and effects BIG ROCK. WE NEED TO SHRINK ON-BOARD FOOTPRINT WE NEED TO DO A LOT MORE WITH LESS 14

15 Take Action Now! We need to break & chisel some big rocks. To Break Barriers! Identify Demonstration Opportunities CROWD SOURCE CROWD SOURCE Obtain Foreign Disclosure Authorization To Share Framework Train Users Prior To Demonstrations Establish Common Procedures And Business Case Approach Perform Demonstrations & Share Results Autonomy Health Mgt DESIGN FAST CROWD SOURCE MICRO-MINIATURIZATION THERMAL MGT PARADIGM SHIFT ACCEPTING GO FAST OR GO HOME COMPUTATIONAL CAPABILITY CROWD SOURCE TO STAY RELEVANT & COMPETITIVE WITH GLOBAL PARTNER PARTICIPATION 15

16 Way Forward Data and Models are Corporate Assets Engine Technology must adapt there are common issues at UAS level Identify & implement an agile development Design UAS subsystem modules reusable & plug and play Emphasis on integration & interoperability multi-domain is a data focus Include global partners in development, production, and deployment crowd source Achieve seamless integration & interoperability with OFF (S&T -> T&E) & ON-BOARD models focus on complexity reduction for both hardware & software PARADIGM SHIFT ACCEPTING IT-CENTRIC CHALLENGE - STAYING RELEVANT & COMPETITIVE 16

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