A Model-Based Systems Engineering (MBSE) Approach To The .
A Model-Based SystemsEngineering (MBSE) Approachto the Design & Optimizationof Phased Array AntennaSystemsNorthrop GrummanBaltimore, MDJohn HodgePhoenix Integration WebinarSenior Principal RF Engineer11/18/201Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020 2020 Northrop Grumman
Northrop Grumman Today2Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
MotivationIncrease Customer SatisfactionImprove Stakeholder CommunicationIncrease Performance CapabilitiesMore Efficient System ArchitecturesEnhance Workflow AutomationManage System ComplexityReduce Cost & Schedule Inefficiencies3Challenge: Can we use a model-based Digital Engineering (DE)approach to enhance phased array antenna design & development?Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Motivation (Cont.)Legacy Solutions: Phased array antenna sensor systems used for wirelesscommunications, radar, and electronic warfare SysML descriptive architecture models Disparate engineering domain analytical modelsChallenges: Meet specified performance within size, weight, power,cooling (SWaP-C), and cost constraints Increasing system complexity as phased array antennasbecome increasing digital and multifunction Disparate set of engineering modeling & simulation toolsacross domains and disciplinesDigital array architecturesOur Solution: An integrated MBSE approach tothe design & optimization of phased arrays SysML model captures system arch & reqs Multi-domain, physics-based performanceanalysis Digital twin for a model-based enterprise4Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020(Delos, 2019)
Outline IntroductionIntegrated Analytical Models Integrated Modeling Framework Phased Array Antenna SystemsModelCenter System Design & OptimizationSysML Architecture Model Summary & Path Forward5Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Digital TransformationLegacy Engineering ProcessesDocumentBasedLack lean sheetdesignsDigital Engineering ProcessesModel-Based6Digital Twin &Digital ThreadMDAO nary Design, Analysis, and Optimization (MDAO)Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Engineering Workflow Accelerated by MBSEConcept DevelopmentEngineering DevelopmentProduction & DeploymentOperations & SustainmentModel Based Engineering is the part of Digital Transformation by whichoptimizations are resultant of models and simulation applications.7Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Digital TwinPhysical AssetDigital Twin Facilitates early discoveryof performance issuesTelemetry Data Enables productoptimizationMaintenance Data Supports personnelefficiencyPredictive Analytics Requirements ModelArchitectural ModelsPerformance ModelsThreat ModelsEnvironmental ModelsDigital Twin Benefits Cost ModelsHW EmulatorsCAD ModelsMission SimulationOperational Software Rapidly evaluates systemperformance in everchanging environments Helps to identify futurebusiness opportunitiesMBSE and ModelCenter enable digital twin development throughmodeling and simulation applications8Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Integrated Model (6)SysMLModelsIntegrated ModelFrameworkPerform TradeStudies(5)(3)ModelCenter (4)AnalyticalModels9Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
ModelCenter MBSE Analyzer Links SysMLDescriptive Models to Analytical ModelsModelCenter10Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Phased Array Antenna Systems11Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Dynamic Array Beam Steering Achieved ViaControlling Phase At Each Radiating Site2D Array PatternIn phase energyproduces a main beamSmaller lobesproduced elsewhereEnergy is in phase at anangle off array normalSimulated E-fieldsRadiatingSitesModule PhaseShiftersPhaseSettings12Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Phased Array Antenna System Block DiagramEach componenthas a size, weight,power, and cooling(SWaP-C)contributionComplex system with many subsystem and component interactions13Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Scalable Digital AESA ArchitectureRF Front-EndFrequency andMission SpecificRF Front-End14Digital Front-EndCommon RFConversion andDBFCommon Back-EndProcessing andControlDistribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Typical Phased Array Antenna RequirementsConstraintsPerformance Frequency Bandwidth (BW) Operational Instantaneous (IBW) Effective Isotropic Radiated Power (EIRP) Aperture Gain Side-lobe levels Transmit Power Receive Sensitivity or G/T Noise Figure Linearity Aperture Efficiency Polarization Scan Volume Scan Loss Beamwidth (Az/El) Scan Rate # of Simultaneous Tx/Rx Beams Size Height Area Weight Power Average Peak Thermal Environmental Shock Vibration Radiation Etc.Power-aperture trade to meet EIRP or sensitivity drives array architecture15Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Capture Performance and SWaP-C Requirements inSysML*Hypothetical SystemRequirements linked to provide traceability;Verified using integrated analytical models16Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Requirements Drive RF Front-End ArchitectureFrequency BandwidthPower HandlingPatch / Stacked PatchWaveguide / SlotPUMA [1]TCDA [2]Planar-Fed Folded Notch (PFFN)Stepped Notch / VivaldiBAMAA Radiator:Single Contiguous Conducting ured(one single part)Balun CavityTranslation LayerFunctionality Built-InGxPOGxPOGxPOGxPOPrintedConnectors?Scalable tile-based building blocks: Choose radiating element architecturebased on bandwidth, scan, power handling, and height requirements17[1] PUMA: Planar Ultrawideband Modular Array (Holland, 2012); [2] TCDA: Tight Coupled Dipole Array (Papantonis, 2016)Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Capture Phased Array Architecture Using SysMLBlock Definition Diagram (BDD)*Hypothetical SystemEach descriptive block capture interfaces and internal components foreach subsystem; Reference architecture customized to mission needs18Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Increasing Levels of Fidelity Through the AntennaDesign ProcessSysMLMatlabExcelHFSS, FEKO, CST19Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Installed Array Performance Using FEKO EM SolverInstalled RadiationPatternSurfaceCurrentsPredict High-Fidelity Installed Antenna Radiation Patterns Using FullWave EM Solver to Inform System Design Decisions20Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
System Design & Optimization21Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Use ModelCenter to Perform Parametric Performancevs. SWaP-C Trade Study AnalysisObjective: Discover best system design and phased array architecture for a wirelesscommunication system to achieve required signal-to-ratio (SNR) at receiverInputs:––––FrequencyBandwidthArray GridAmplifier PowerPer Element– Antenna ScanAngle– # of Tx Beams– Required SNR22Outputs:–––––––––SNR at ReceiverLink MarginAntenna EIRPAz/El BeamwidthSizeWeightPrime PowerPower DensityCostModelCenterDistribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Amplifier Output Power (dBW)Power-Aperture Trade Study to Satisfy RequiredCommunications Link SNR Margin using ModelCenterPareto OptimalFrontier (0 dBSNR Margin)Array Size: Number or Array Elements23Signal-to-Noise Ratio (SNR)Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Key Performance Parameters(KPPS)Understand how increasing array size drives EIRP, primepower, weight, and SNR link margin using ModelCenterMeets Required SNRArray Size: Number or Array Elements*Hypothetical SystemModel sensitivity of input design parameters on system KPPs and SWaP-C24Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Parametric trade study using design of experiment(DOE) tool simulates 630 system configurationsEach point is an evaluated system configuration; Gray dots shaded outbecause they do not meet system requirements and constraints25Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Color shading used to identify architectureconfigurations with lowest power, weight, and cost26Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Mapping design inputs to key performance parameter(KPP) outputs to understand key relationships in dataInputs: Array Size, Tx Power, FrequencyOutputs: Link Margin, Weight, CostBest Design ThatMeets Required SNRShading based on system requirements to find best design27Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Scatter Matrix Visualizes Trade Study Results andComplex System InteractionsVisualize Relationship Between All Input and Output Design Variables28Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Built-in Optimization Tools Help Discover Best DesignSet to satisfy required link margin while minimizing cost, weight, and power29Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Path Forward Broaden MBSE adoption and digitalengineering across the enterprise Continue to integrate models into unifieddigital twin using ModelCenter Directly integrate CAD models withdescriptive and analytical models Deepen MBSE integration with productlifecycle management (PLM) systems(US DoD, DigitalEngineering, 2018)Help our customers adopt and transition to MBSE to increase systemperformance while reducing cost, schedule, and risk30Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Summary Demonstrated a MBSE approach to the design &optimization of next-generation phased arrays Developed innovative integrated phased arraysystem model to perform rapid multi-domain trades MBSE: Connect systems architecture models withengineering analyses Using ModelCenter to link descriptive SysMLmodels to analytical performance model MDAO: Calculate system performance, checkrequirements, and perform design trade-offsFlexible model for evaluating trade studies, performing systemoptimization, and system verification for phased array sensor systems31Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
If you enjoyed today’s talkMy 2018 webinar is available on the Phoenix Integration website32Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Acknowledgements Phoenix Integration Staff My NGC Mentors and Co-workers33Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Thank You!Contact: john.hodge@ngc.com34Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
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Value of Modeling Based on Defining CapabilitiesThis talkDescriptive:Software orRelationshipDrivenCapabilityDescriptiveModeling TypicallyAdds More ValueIntegrated Analytical and DescriptiveModeling Solution for ComplexSensor SystemsOutsource: LikelyLow-Value ActivityAnalytical Modeling Typically AddsMore ValueAnalytical: Hardware or Algorithm Driven Capability36Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Providing Virtual Integration of Systems for EarlierVerification & Validation (V&V)37Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Path Forward (Cont.)Reconfigurable Intelligent Metasurfaces(Hodge, 2020)Machine Learning Driven Integrated Design(Hodge, 2019)Expand Domains of MBSE & MDAO for Next-Generation Applications38Distribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020
Four Operating Sectors at a GlanceAeronautics SystemsDefense SystemsMission SystemsSpace SystemsAutonomous SystemsIntegrated Air & Missile DefenseAirborne Sensors and NetworksLaunch VehiclesAerospace StructuresDefensive Cyber and InformationOperationsArtificial Intelligence/MachineLearningPropulsion SystemsPlatform Modernization and FleetOperations SupportCyber and IntelligenceMission SolutionsAdvanced WeaponsNavigation, Targeting andSurvivabilityPrecision MunitionsMaritime/Land Systems and SensorsSoftware Systems Modernizationand SustainmentEngineering & SciencesAdvanced Technologies andConceptsAircraft Design, Integration andManufacturingLong-range StrikeMulti-Domain Integration andOperationsIntelligence, Surveillanceand ReconnaissanceBattle Management39Training and SimulationPropulsion SystemsEmerging Concepts DevelopmentMulti-domain C2Agile/DevSecOps SystemsDistribution Statement A: Approved for Public Release; Distribution is Unlimited; #20-2203 Dated 11/17/2020Commercial SatellitesMilitary and Civil Space SystemsScience and National SecuritySatellitesHuman Space and AdvancedSystemsSpace ComponentsMissile DefenseSpace ExplorationSpace ISR Systems
Deepen MBSE integration with product lifecycle management (PLM) systems 30 Help our customers adopt and transition to MBSE to increase system performance while reducing cost, schedule, and risk (US DoD, Digital Engineering, 2018) Distribution Statement A: Approved for Public Rele
Materials Science and Engineering, Mechanical Engineering, Production Engineering, Chemical Engineering, Textile Engineering, Nuclear Engineering, Electrical Engineering, Civil Engineering, other related Engineering discipline Energy Resources Engineering (ERE) The students’ academic background should be: Mechanical Power Engineering, Energy .
Simulation Based Approaches for Systems Engineering 5 MBSE defined? [2] B. S. Blanchard and W. J. Fabrycky, Systems Engineering and Analysis, Third Edition, Prentice Hall, Upper Saddle River NJ, 1998. [3] NDIA, Final Report of the Model Based Engineering (MBE) Subcommittee, NDIA Systems Engineering Division, M&S Committee, 2011. [4] A. W. Wymore, Model-Based
on systems science and engineering within the IEEE SMC So-ciety. They include autonomous and bio-inspired robotic and unmanned systems, blockchain, conflict resolution and group decision making, enterprise systems, infrastructure systems, intelligent systems, model-based systems engineering, service systems, system of systems, and system biology.
that leverages systems engineering in the transition to team-based engineering for conception, design, and implementation. Use of Systems Engineering. Making effective engineering decisions via hazards and risk analysis to integrate all engineering topics (such as cyber security and SCCF) into a single engineering process. Risk Informed Engineering
akuntansi musyarakah (sak no 106) Ayat tentang Musyarakah (Q.S. 39; 29) لًََّز ãَ åِاَ óِ îَخظَْ ó Þَْ ë Þٍجُزَِ ß ا äًَّ àَط لًَّجُرَ íَ åَ îظُِ Ûاَش
Collectively make tawbah to Allāh S so that you may acquire falāḥ [of this world and the Hereafter]. (24:31) The one who repents also becomes the beloved of Allāh S, Âَْ Èِﺑاﻮَّﺘﻟاَّﺐُّ ßُِ çﻪَّٰﻠﻟانَّاِ Verily, Allāh S loves those who are most repenting. (2:22
Careers in Engineering Guide the brighter choice. Contents ABOUT LSBU 4–5 BUILDING SERVICES ENGINEERING 6–7 CHEMICAL AND PETROLEUM ENGINEERING 8–9 CIVIL ENGINEERING 10–11 ELECTRICAL AND ELECTRONIC ENGINEERING 12–13 MECHANICAL ENGINEERING 14–15 MECHATRONICS ENGINEERING 16–17 PRODUCT DESIGN ENGINEERING 18–19 An engineering degree is a big challenge to take on. There is no denying .
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