U.S./Morocco Workshop on Sensors and Wireless Networks for Smart Cities
An Overview the Electrical, Communications and Cyber
Systems (ECCS) Division
SamirEl-GhazalyDivisionDirector,ECCSEngineeringDirectorate
Na:onalScienceFounda:onArlington,VA
U.S./Morocco Workshop on Sensors and Wireless Networks for Smart Cities
Acknowledgement
Workshop co-Chairs: Driss Benhaddou Tarek El-Ghazawi Mohamed Essaaidi NSF Program Directors: Usha Varshney Eyad Abed
NSF’sOrigin,Mission,andStructure• IndependentfederalagencyestablishedbyCongressintheNSFActof1950
– “ToPromoteProgressofScience,”and“AdvanceNa:onalHealth,Prosperity,andWelfare,”and“SecuretheNa:onalDefense”
• SupportsfundamentalresearchandeducaConacrossallfieldsofscienceandengineering
• Sponsorsresearchprimarilythroughgrantmechanism,butoperatesnolaboratories
• Discipline-basedstructurewithcross-disciplinarymechanisms
• Uses“rotators”orIPAsandpermanentprogramdirectors
• FY2015Budget~$7.5billion3
Other than the FY 2015 appropriation, numbers shown are based on FY 2014 activities.
NSF by the Numbers
$7.3 billion FY 2015 appropriation
94% funds research, education and related activities
48,100 proposals
11,000 awards funded
1,826 NSF-funded institutions
320,900 NSF-supported
researchers
214 Nobel Prize winners
All S&E disciplines funded
Funds research into STEM
education
Na%onalScienceFounda%on
5
MathemaCcal&PhysicalSciences(MPS)
Geosciences(GEO)
Engineering(ENG)
Computer&InformaConScience&Engineering
(CISE)
Social,Behavioral,&EconomicSciences(SBE)
EducaCon&HumanResources(EHR)
Budget,Finance,&Award
Management(BFA)
InformaCon&ResourceManagement
(IRM)
OfficeofDiversity&Inclusion
OfficeoftheGeneralCounsel
OfficeofIntegraCveAcCviCes
OfficeofLegislaCveandPublicAffairs
BiologicalSciences(BIO)
OfficeoftheInspectorGeneral
(OIG)
DirectorandDeputyDirector
NaConalScienceBoard(NSB)
OfficeofInternaConalScienceandEngineering
6
Electrical,CommunicaCons,andCyberSystems(ECCS)
SeniorEngineeringAdvisorLawrenceGoldberg
Electronics,Photonics,andMagne:cDevices(EPMD)
Energy,Power,ControlandNetworks(EPCN)
Communica:ons,Circuits,andSensingSystems(CCSS)
UshaVarshneyDimitrisPavlidisNadiaElMasry
KishanBaheCEyadAbed
AliRezaKhaligh
GeorgeHaddadMonaZaghloul
HaoLingChengshanXiao
SamirEl-GhazalyDivisionDirector
DominiqueDagenais
DeputyDivisionDirector(Ac1ng)
ProgramSupportManagerCynthiaGreene
Op:csandPhotonicsGroup
MahmoudFallahiDominiqueDagenais
JohnZavada
ECCSMission� Addressfundamentalresearchissuesatthenano,micro,andmacroscales
underlyingdeviceandcomponenttechnologiesforenergyandpower,controls,networks,communica:ons,computa:onandsensingapplica:ons
� Supportresearchonsystemsandnetworksforadvancedengineeringapplica:ons
� Supporteduca:onofadiverseworkforceinelectricalandcomputerengineeringtomeetthetechnologicalchallengesofa21stcenturyglobaleconomy
7
Electronics,Photonics,andMagneCcDevices
(EPMD)Program
(D.Dagenais,N.El-Masry,M.Fallahi,D.Pavlidis,U.Varshney,JohnZavada)
� EnablediscoveryandinnovaConadvancingthefronCersofnanoelectronics,spinelectronics,molecularandorganicelectronics,bioelectronics,biomagneCcs,non-siliconelectronics,andflexibleelectronics.
� Improvethefundamentalunderstandingofdevicesandcomponents.
� EmphasizesemergingareasofdiagnosCc,wearableandimplantabledevices,andsupportsmanipulaConandreal-Cmemeasurement.
� SupportcooperaCveeffortswiththesemiconductorindustryonnewnanoelectronicsconceptsbeyondthescalinglimitsofsilicontechnology.
8
ECCS-1220715 Pallab Bhattacharya, U. of Michigan Room Temperature Electrically Injected GaN Nanowire-based
Exciton-Polariton Laser. (Phys. Rev. Lett. 2014)
9
Multi-quantum Well Microcavity Diode
Nanowires in Lasers Polariton emission p-contact
n-contact
5λ/2 cavity δ-doped
layers
(a)Schema%crepresenta%onoftheGaNnanowirearray−dielectricmicrocavity.Imageofanas-grownnanowiresample.(b−d)Nanowiresembeddedinadielectricspin-on-glasscavity.
� Supportssystemsresearchinhardware,signalprocessingtechniques,andarchitectures.
� SupportsinnovaCveresearchinmicro-andnano-electromechanicalsystems(MEMS/NEMS),communicaConsandsensingsystems,andcyber-physicalsystems.
� Supportsthedesign,development,andimplementaConofnewcomplexandhybridsystemsatallscales,includingnanoandmacro,thatleadtoinnovaCveengineeringprinciplesandsoluCons.
CommunicaCons,Circuits,andSensing-Systems(CCSS)Program
(GeorgeHaddad,MonaZaghloul,HaoLing,ChengshanXiao)
10
EARS: Beamspace Communication for Gigabit Mobile Wireless at Millimeter-Wave Frequencies
Potential power and spectral efficiency gains due to beamspace multiplexing at 80GHz vs. 3GHz
Feed antennas
AFT
Potential Payoff: Transformative enhancements in the access to, and usage of, the electromagnetic spectrum at millimeter-wave frequencies (30-300GHz)
(ECCS-1247583PI: Akbar M. Sayeed, co-PI: Nader Behdad)
Two-Level mm-wave network topology Prototype of a Discrete Lens Array
� Emphasizeselectricpowersystems.
� Investsinsystemsandcontrolmethodsforanalysisanddesignofcyber-physicalsystems.
� InvestsinadapCvedynamicprograming,brain-likenetworkedarchitecturesperformingreal-Cmelearning,andneuromorphicengineering.
� SupportsinnovaCveproposalsdealingwithsystemsresearchinsuchareasasenergy,transportaCon,andnanotechnology.
Energy,Power,ControlandNetworks(EPCN)Program
(KishanBahe:,EyadAbed,AlirezaKhaligh)
12
Cyber-Security of Controlled Systems
Ever more infrastructures and controlled systems exposed to an ever expending varieties of cyber-threats and manipulations.
Recent Achievement: Characterized new equilibria in estimation games with self-interested, compromised sensors. Three types of cyber-attacks on a
feedback control loop.
(ECCS-1151076, Langbort, University of Illinois at Urbana-Champaign)
FundingOpportuniCes
� CorePrograms� IniCaCvesü Collabora:ve/InterdisciplinaryAreas
ü Crosscu\ngandNSF-widePrograms
ECCSUnsolicitedProposals
• SubmissionWindow
– October1–November1annually
• AwardSizeforUnsolicited
– Typically$360Kforthreeyears
• FundingRates
– 15-17%
• Reviewers
– fromuniversity,industryandgovernment
14
ExamplesofOtherPrograms
• CorePrograms
– EarlyFacultyCareerDevelopmentGrants/Presiden1alEarlyCareerAwards(CAREER/PECASE)
– EAGER
• Workshops
• Cross-cujngPrograms– MajorResearchInstrumenta1on(MRI)
• Supplements
– ResearchExperiencesforUndergraduates(REU)
– ResearchExperiencesforTeachers(RET)– GOALI– Equipment– Interna1onal
15
� Na%onalNanotechnologyCoordinatedInfrastructure(NNCI),replacedNa%onalNanotechnologyInfrastructureNetwork(NNIN).
� EnhancingAccesstotheRadioSpectrum(EARS)
� BRAINIni%a%ve
� Cyber-PhysicalSystems(CPS)
� Computa%onal&Data-EnabledScienceandEngineering(CDS&E)
� Na%onalRobo%csIni%a%ve(NRI)
� Op%cs&Photonics(OP)
� Secure&TrustworthyCyberspace(SaTC)
� Cri%calTechniquesandTechnologiesforAdvancingFounda%onsandApplica%onsofBigDataScience&Engineering(BIGDATA)
ECCSInvolvementinNSFIniCaCves
16
� CyberScience,EngineeringandEduca%onforSustainability(CyberSEES)
� DesigningMaterialstoRevolu%onizeandEngineerourFutureProgram(DMREF)
� ScalableNanomanufacturing(SNM)
� Failure-ResistantSystems(FRS)
� Revolu%onizingEngineeringDepartments(RED)
� Cri%calResilientInterdependentInfrastructureSystems&Processes(CRISP)
� AdvancingCommunica%onQuantumInforma%onResearchinEngineering(EFMAACQUIRE)
ENGR&RABudget($M)
FY 2014 Actual
FY 2015 Current Plan
FY 2016 Request
Change over FY 2015 Current Plan
Amount Percent CBET $167.76 $177.82 $192.26 $14.44 8.1%
CMMI 195.23 209.52 222.73 13.21 6.3%
ECCS 100.37 110.43 119.24 8.81 8.0%
EEC 119.50 117.49 110.39 -7.10 -6.0%
IIP 205.99 226.98 248.11 21.13 9.3%
SBIR/STTR 159.99 177.11 194.36 17.25 9.7%
EFMA 44.27 50.07 56.49 6.42 12.8%
ENG TOTAL $833.12 $892.31 $949.22 $56.91 6.4%
17
ECCSFundingRates(ResearchGrants)
18
FY14 ENG Priorities § Advanced Manufacturing
§ Clean Energy
§ National Nanotechnology Initiative
§ Cognitive Science and Neuroscience
§ Communications & Cyber-infrastructure
§ Cyber-Enabled Materials, Manufacturing, and Smart Systems (CEMMSS)
§ Education and Career Development
§ Interdisciplinary Research
§ Research Centers
ECCS Strategic Plan § Advance sensor- and model-based smart manufacturing and robotics § Advance semiconductor and optical device design, fabrication and
processing for use in biomedical, communications, computing, energy and sensing systems
§ Advance research and engineering of energy materials, use, distribution and efficiency
§ Focus on composite nanomaterials, two-dimensional nanolayers, nano-electronic logic devices, metamaterials, plasmonics and nanomedicine
§ Advance noninvasive or minimally invasive imaging technologies, neuroprosethetics and new neural engineering & technology research
§ Advance “smart” systems that can sense and adapt to environmental change for energy, manufacturing, or infrastructure needs
§ Emphasize support for CAREER, NRT, IGERT, IUSE and broadening participation at all levels
§ Invest in fundamental research that may overcome scientific and/or national challenges and lead to breakthrough technologies (EFRI)
§ Maintain support of ECCS funded STCs
20
*McKinseyGlobalIns%tute,“Disrup%vetechnologies”,2013
KeyTechnologiesTwelvepotenCallyeconomicallydisrupCvetechnologies*
� MobileInternet � AutomaConofknowledgework� TheInternetofThings � Cloudtechnology� AdvancedroboCcs� Autonomousandnear-autonomousvehicles
� Next-generaCongenomics� 3DprinCng� Advancedmaterials� Renewableenergy� Energystorage� AdvancedoilandgasexploraConandrecovery
� SmartCi%es(UrbanScience)
� Low-PowerCompu%ng
� BigData
� InternetofThings
� SensorsandLargeSensorNetworks
� Op%cs&Photonics
� BrainImaging(AdvancedNon-Invasive
MedicalImaging)
ECCSEmergingAreas&PossibleFutureDirecCons
21
� Paper&SilkElectronics� TerahertzTechnologies� WebbasedSystemsControl–SocialNetworks� Lowcost,highefficiencysolarcells� Valleytronics
� WirelessEnergyTransfer� Exo%c,Autonomous&FaintPhotonics� RemoteSensing&S%mula%onofBrainFunc%ons� Man-MachineInterfaces� DriverlessVehicles
� Flexible,conformable2Delectronics� Extremebandgapdevices� RemoteAccessTestbed� CybersecurityofControlSystems� PhysicalLayerSecurityforWirelessCommunica%ons
� Green&ReconfigurableElectronics
For Further Information
NSF: nsf.gov
ECCS: nsf.gov/div/index.jsp?div=eccs
Thankyou!
Ques1ons?
23
SpecificHighlights–Full-DuplexCogniCveRadioFundamentalResearch• Full-duplexreconfigurabletransceivers• Selfinterferencecancella%on• Full-duplexdynamicspectrumaccess
BroaderTechnicalImpacts• Wirelesscommunica%ons• Futuregenera%onstandards
EvoluConofresearchfocus• 5yearsago:half-duplexcogni%veradio• Today:experimen%ngfull-duplex
transceivers• Next:aimingtodeployfull-duplex
cogni%veradionetworks
FuturePerspecCves• Significantlyincreasespectrum
u%liza%on• Enhancespectrumefficiency
24
SpecificHighlights–MillimeterWaveMassiveMIMOFundamentalResearch• Millimeterwavechannel
characteriza%onandexploita%on• Millimeterwavecommunica%ons• MassiveMIMOarchitecture
BroaderImpacts• U%lizinghigherfrequenciestomi%gate
thespectrumscarcityproblematlowerfrequencies
EvoluConofresearchfocus• 5yearsago:upto60GHz,upto8x8
MIMO• Today:60GHz,64x64MIMO• Next:higherthan60GHz,largerthan
128x128MIMO
FuturePerspecCves• Muchhigherdataratesformobile
communica%ons• Enhancedsecurityandreliabilityof
wirelesscommunica%ons
25
SpecificHighlights–AntennasFundamentalResearch• 3-Dprin%ngappliedtoantennas• Reconfigurableliquidantennas• Vortexwaveexcita%onandrecep%on
BroaderTechnicalImpacts• Wirelesscommunica%ons• Sensornetworks• Securityandhealthcaremonitoring
EvoluConofresearchfocus• Exploi%ngnewmaterials/fabrica%on
techniques/propaga%onphenomenologytoantennadesignandmanufacturing
FuturePerspecCves• Low-cost,compact,reconfigurable
antennasforubiquitouscommunica%onsandsensing
26
SpecificHighlights–Millimeter-waveandTerahertzFundamentalResearch• Broadbandphasedarraytechnology
formm-waveandTHz• Low-powertransceiverarchitecture• PushingCMOS
above100GHz
BroaderImpacts• Movingtohigherfrequenciestosolve
theelectromagne%cspectrumcrunchatlowerfrequencies
EvoluConofresearchfocus• 5yearsago:CMOSupto60GHz• Today:60-100GHz• Next:>100GHz
FuturePerspecCves• Highdatarate(100Gbits/s)mobile
communica%ons
27
Data-intensivePredicCon/ClassificaConforPaCent-CenteredMedical-Testbed1054333-YuichiMotai-VirginiaCommonwealthUniversity
I.RecentOutcomes&Accomplishments:Thedata-intensivesolu1onshavebeenappliedtoseveralmedicalproblemsandhavebenefitedsocietyasawhole.Thesta1s1calinnova1onsforthecomplexsystemsexpandedtheNa1on'scyberinfrastructureandhighperformancecompu1ngcapability.Asaresultofthisaward,thePIhasachievedthefollowingaccomplishments:•ThePI’sresearchgroup,calledsensoryintelligencelab,haspublishedsofar20journalpapers,mostlyinhighimpactIEEEtransac1ons(JIF=3.0+),suchasTSMC-B,TRO,TKDE,TIM,TIE,TII,TBME,TITB,TCC,andJTEHMetc.•3researchbookshavebeenpublishedinWiley,ACMMorgan&Calypool,andSpringer.
III.BroaderImpact:(a) Intellectual,IndustrialandSocietal:Themillionsofcancerpa1ents
everyyearhaveenhancedthequalityofalltheirlivesthroughunprecedentedadvancesintheearlydiagnosisandtreatmentofcancer.
(b) Educa:onal:Newgraduate-levelcourses“PakernRecogni1on”,and“IntelligentLinearSystems”,weredeveloped.Undergraduate-levelcourse“Automa1cControl“and“SignalsandSystemsI”wererefinedbydevelopinganewtextbook,called“SystemConcepts:Student-CentricLectures”withtheMatlabexercisesfocusinggraphicsoutcomesvialinearalgebra.All10+Capstoneprojectswerecompletedsuccessfully,includingprovisionalpatentsandjournalpaperswithREU.Thepar1cipantswererecruitedfromadiversegroupincludingunder-representedpopula1onsinSTEM.
II.BasicPrinciples:Thedevelopedmethodologiesofpredic1ngrespiratorymo1onforpreciseradia1ondosedeliveryhaveopenedupanewparadigmofcustomizedtreatment.Computer-aidedcancerdetec1onandassessmentinVirtualColonographysystemshassubstan1allyadvancedtheclinicalimplementa1onofcoloncancerscreeningusingbig-dataanalysis.
• TechnicalNeuralnetworkswithKalmanfilteritera1onhaveshownthebestperformanceforpredic1onfromlearning.Adistributedclassifica1onmethodusingkernel-basedneuralnetworkanalysisoutperformedexis1ngsystem’sclassifica1on.
• Non-technicalInter-disciplinarycollabora1onisrequiredforadvancedcancertreatmentanddiagnosisthroughtheapplica1onofsensoryintelligence,togetherwithmedicalphysicsexpertsattheMasseyCancerCenterinRichmond,andradiologyexpertsatMassachuseksGeneralHospitalinBoston.
III.CompellingImage:Conceptofcloudcolonography:Networkedcomputer-aideddiagnosisdevelopedbytheVirginiaCommonwealthUniversityandMassachuseksGeneralHospital.
NSFENG/ECCSAwardHighlight28
AnIntelligentRestoraConSystemforaSelf-healingSmartGrid(IRS-SG)ECCS1552073–WeiSun–UniversityofCentralFlorida
I.RecentOutcomes&Accomplishments:• Developedanadap:verestora:ontoolforop:malplanningandnear
real-:meopera:on. Itminimizes therestora%on%mewhilepreservingpowersystemsecurity.
• Developedanovelrestora:onstrategyusinglargescalewindfarms.Ituses two-stage stochas%c and robust op%miza%onmethods to addresswinduncertaintyandcoordinatewindandpumped-storagehydrounits.
• Developed a state-of-the-art network par::oning algorithm forefficientrestora:on. Itsec%onalizesapowergridameramajoroutage,andcoordinatestheparallelrestora%oninmul%pleislands.
The project outcomes include three submioed journal papers and fourpanelpresenta%ons.
ProjectCollaborator:Dr.KumarVenayagamoorthy,ClemsonUniversity
NSFENG/ECCS2015AwardHighlight
III.BroaderImpact:(a) Intellectual, Industrial and Societal: This project has significant
impact on na%onal needs – resilience of our na%onal grid,sustainable energy and energy security. The poten%al economicimpact isexpected tosaveseveralmillionsofdollars loss resultedfromblackouts.Situa%onalintelligenceinpowersystemrestora%onminimizes impacts of blackouts and leads to rapid recovery fromnatural disasters such as earthquakes, hurricanes and maliciousaoacks.
(b) Educa:onal: This research will promote teaching, training and
learning of smart grid. The research will equip power engineerswithhands-onexperiencesinautomatedpowersystemrestora%on.The research will also provide a unique learning plaporm tocul%vate the interest of K-12 students in power and energysystems.
II.BasicPrinciples:• Technical : The IRS-SG tool uses the emerging computa%onal
intelligence techniques and synchrophasor measurements toprovide system operators with real-%me adap%ve restora%onac%ons.Thisresearchusesnovelapproachestoaddressdifferentuncertainty sources in power system, including (1) Robustop%miza%onbasedonapredefineduncertainty setandbudgetof uncertainty; (2) Stochas%c op%miza%on using scenariogenera%on and reduc%on techniques with Benders’decomposi%ontodrama%callyreducethecomputa%onal%me.
• Non-technical:Theoutcomeofthisresearchwillgivethesystemoperators and planners a very good insight intowind behaviorthroughout the restora%on process. Instead of excluding windpower or performing wind curtailment which results in windenergyspillage,thetoolprovidesaplantoharnesswindenergywithoutthreateningthesystemsecurity.
IV.CompellingImage:This figure shows the intelligent restora%on tool. It includes theop%miza%on engine for planning and dynamic analysis for near real%mesecuritycheck.Thistoolprovidestheadap%verestora%onplanincase of unexpected faults or other events.@Wei Sun, University ofCentralFlorida
t=0
Restorationplanning
t=4
Real-timesecuritycheck
TotalBlackout
Restorationtime(p.u.)
Cplex Python PSS/E
-Gen.start-upseq.-Lineenerg.seq.-Loadpickupstep-Dynamicreservecalc.-Voltagestabilitycheck-Renewablesources
participation-Energystoragescontribution
MILProbust
optimization Dynamic
Simulation
Generaterestorationcases&
runPSS/E
-Loadpickupstepcalculation
t=15BSUisconnectedandfirstload/linetobeenergized
Majorcontingencyorequipmentfailure
occurred
Newrestorationplanning
-Linesswitchingandovervoltagecheck
t=9
Real-timeSecuritycheck-Loadpickupstepcalculation
FirstNBSUisconnected
-Contingencyanalysis-Voltagestabilitymargincalculation-Optimalloadflow
-Lineenerg.seq.-Gen.start-upseq.
-Dynamicreservecalc.-Connectiontotheneighboringisland
SystemDataBase(sav,dyr,snap,xls,...)
29
CollaboraCveResearch:AnAsynchronousExteriorCalculusFrameworkforCharge-ConservaCveElectromagneCcParCcle-in-CellSimulaConsofSpace-ChargeEffectsonIrregularGrids
1305838—Teixeira—TheOhioStateUniversity
I.RecentOutcomes&Accomplishments:• Anewpar%cle-in-cell(PIC)algorithmwasdevelopedforthe
studyofplasmaandbeam-waveinterac%onsonunstructuredgrids.Theconsidera%onofunstructuredgridsisofcrucialimportancefortheaccuratemodelingofcomplexgeometriessuchasfoundinmodernhigh-powertravelling-wave-tubesandbackwardwaveoscillators,forexample.
• Thiseffortprovidesatransforma%veapproachforthemodelingofmul%scaleplasmaphenomenacombiningfieldsolversandpar%clekine%csonunstructuredcomputa%onalmeshes.
NSFENG/ECCS2014AwardHighlight
III.BroaderImpact:(a) Intellectual,IndustrialandSocietal:Thisresearchwillbenefit
theanalysisanddesignofnewhigh-powermicrowave,terahertz,andlaser/op%caldeviceswithcomplexgeometries,andthesimula%onofplasmaflows
(b) EducaConal:Thisresearchprojectsupportsonegraduatestudent(Ph.D.level)attheOhioStateUniversity(OSU)andtwoseniorresearchersatOSUandTrinumResearchInc.ResultsofthisresearcharebeingintegratedintoseveralcoursesatOSUandthesomwarewillbepubliclydisseminated.
II.BasicPrinciples:• ThePICalgorithmsunderdevelopmentaredesignedto
preserveconserva%onlawsandsymmetriesatthediscretelevelfromfirstprinciples.Theyseektoobviatetheneedforlinearsolversduringthesimula%onandfield/par%cleinterac%onsandovercometheCourantstabilitylimit.
• Thetoolsdevelopedhereinarekeytothesimula%onofphysicalprocessesinvolvingfieldandpar%cleswhereintheirmutualinterac%onneedstobeaccountedforveryaccurately.Currentlinearsolvertechnologyforthistypeofproblemssetsanupperlimitonthesizeofproblemssolvableonunstructuredmeshes,whereasdisparate%mescalesrequireenormousresourcesintermsofcompu%ng%mewhenusingtradi%onal%me-steppingalgorithms.
III.CompellingImage:
Unstructured grid simulation of electron beam acceleration (left-to-right: cathode-to-anode) with charge-conserving PIC algorithm illustrating lateral beam (left) expansion and (d) self-consistent electric field (right).
30
CAREER:EnablingDesignofFutureSmartGridsviaInput/OutputHybridSystemsTools
ECCS1150306–RicardoG.Sanfelice–UniversityofCalifornia
I.RecentOutcomes&Accomplishments:• Developmentofmethodsforthestudyinvarianceinhybridsystems,includinga
hybridcontrolalgorithmforasinglephaseDC/ACinverter.Usingtheforwardinvarianceanalysisandthenumericalsimula1ons,wefoundthat:
• Theoutputsignalsfromtheinverteraresinusoidallikeandhavedesiredamplitudeandfrequencies;• Theclosed-loopsystemisrobusttolarge(~20%)changesininputDCsignal;• The1mebetweenconsecu1veswitchesaredeterminedbyaparameterdefiningthesizeofthecontrol
band• Genera1onofcontroldesignmethodsforhybridsystemsviacontrol-Lyapunov
func1ons.• Designofstabilizingfeedbackcontrollawswithminimumpointwisenorm.• Designofhybridobserversforstatees1ma1onunderthepresenceof
measurementnoise.• HostedagradstudentfromTu/e,TheNetherlandsandaprofessorfrom
JiangnanUniversity,China.• Applica1onofdesignmethodstopowersystems.• Publica1ons:9journalpapers,2bookchapter,and15conferencepapers• Receivedthe2014ACCBestStudentPaperAwardFinalist(asadvisor)
NSFENG/ECCS2015AwardHighlight
III.BroaderImpact:(a) Intellectual,IndustrialandSocietal:Theproposedresearchplancontributestotheknowledgebasebygenera1ngtoolsformodeling,analysis,anddesignofinterconnectedhybridsystemswithinputsandoutputs.Italsoadvancesknowledgeinthemainfieldsrela1ngtohybridsystems.Ituniquelycontributestothefieldofpowersystemsthroughthedevelopmentofcontrolalgorithmsguaranteeingrobustnessandresiliencyoffuturesmartgrids.(b)Educa:onal:Theproposedresearchplanis1ghtlyintegratedwithteachingandtrainingac1vi1es.Theresearchresultsarebeingincorporatedinthreecourses.Moreover,theresearchresultsimpactimpactmiddleandhighschooleduca1onlevelsbytraininginstructorsandstudentsonengineeringandsmartgrids.Inpar1cular,theseac1vi1esareincreasingawarenessbyinformingstudentsofthefutureenergyneedsintheworld.Theseac1vi1esalsopromotepar1cipa1onofHispanicstudentsfromlow-socioeconomicstatus.
II.BasicPrinciples:TechnicalTheresearchinthisprojectgeneratestheneededtoolsformodeling,analysis,anddesignofinterconnectedhybridsystemsemerginginfuturesmartgrids.Thetechnicalapproachisbasedonstabilitytheoryforhybriddynamicalsystems.Themethodsforinterconnec1onanalysisandfeedbackcontroldesignarebuildingthecoreresultsneededforsystema1canalysisandcontroldesignforinput/outputhybridsystems,whichiscurrentlyamissingcornerstoneinhybridcontroltheory.
Non-technicalTheincreasingnecessityofproducingmoreenergy,combinedwiththesurginginterestingreentechnologiesworldwide,havepromotedtheneedforahighlyreliable,cost-efficient,andself-sustainedelectricpowergrid.Futureenergydistribu1onsystemsoughttobecapableofinterconnec1ngdiversepowersourcesandunits(fossil,nuclear,hydropower,photovoltaic,windturbines,fuelcells,flywheels).Theresearchinthisprojectdevisesnovelmethodstodesignsuchcomplexsystemstohaveauniqueresiliencytovaria1onsofpower,whichisakeychallengewhenusingrenewablesources.
DC-DCBoostConverterSingle-PhaseDC/ACInverter
InsteadofusingPWM-basedcontroller,thisprojectisdedicatedtoimplementhybridcontrolforDC-DCboostconverter.Theclosedloopsystemismanagedtooutputdesiredsignalswithsmallperturba%ons’appearance.
InsteadofusingPWM-basedcontroller,thisprojectisdedicatedtoimplementhybridcontrolforsingle-phaseDC/ACinverter.Theclosedloopsystemismanagedtooutputdesiredsignalswithsmallperturba%ons’appearance,androbusttovaria%onsofinputDCvoltage.
31
