{"id":"https://openalex.org/W4313196354","doi":"https://doi.org/10.1109/ccta49430.2022.9966031","title":"Predictive Control of a Morphing Energy-Harvesting Kite","display_name":"Predictive Control of a Morphing Energy-Harvesting Kite","publication_year":2022,"publication_date":"2022-08-23","ids":{"openalex":"https://openalex.org/W4313196354","doi":"https://doi.org/10.1109/ccta49430.2022.9966031"},"language":"en","primary_location":{"id":"doi:10.1109/ccta49430.2022.9966031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta49430.2022.9966031","pdf_url":null,"source":{"id":"https://openalex.org/S4363608038","display_name":"2022 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023232567","display_name":"Jacob B. Fine","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob B. Fine","raw_affiliation_strings":["North Carolina State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Carolina State University","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025694102","display_name":"James Reed","orcid":"https://orcid.org/0000-0001-7591-0584"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Reed","raw_affiliation_strings":["North Carolina State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Carolina State University","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040163029","display_name":"Kartik Naik","orcid":"https://orcid.org/0000-0002-9656-7487"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kartik Naik","raw_affiliation_strings":["North Carolina State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Carolina State University","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112578306","display_name":"Chris Vermillion","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Vermillion","raw_affiliation_strings":["North Carolina State University,Department of Mechanical and Aerospace Engineering,Raleigh,NC,USA,27695"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Carolina State University,Department of Mechanical and Aerospace Engineering,Raleigh,NC,USA,27695","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6543,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68461669,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1246","last_page":"1252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12719","display_name":"Aerospace Engineering and Energy Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12719","display_name":"Aerospace Engineering and Energy Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11870","display_name":"Structural Analysis and Optimization","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/morphing","display_name":"Morphing","score":0.8238714933395386},{"id":"https://openalex.org/keywords/energy-harvesting","display_name":"Energy harvesting","score":0.7071418762207031},{"id":"https://openalex.org/keywords/kite","display_name":"Kite","score":0.6349974274635315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5632855296134949},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.47529780864715576},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4531576335430145},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.36401069164276123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1949426531791687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09106212854385376}],"concepts":[{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.8238714933395386},{"id":"https://openalex.org/C101518730","wikidata":"https://www.wikidata.org/wiki/Q930236","display_name":"Energy harvesting","level":3,"score":0.7071418762207031},{"id":"https://openalex.org/C2777229633","wikidata":"https://www.wikidata.org/wiki/Q107061","display_name":"Kite","level":2,"score":0.6349974274635315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5632855296134949},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.47529780864715576},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4531576335430145},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.36401069164276123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1949426531791687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09106212854385376},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccta49430.2022.9966031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta49430.2022.9966031","pdf_url":null,"source":{"id":"https://openalex.org/S4363608038","display_name":"2022 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G8265787109","display_name":null,"funder_award_id":"DE-EE0008635","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1523100549","https://openalex.org/W1914753139","https://openalex.org/W1965061511","https://openalex.org/W2742255640","https://openalex.org/W2898750083","https://openalex.org/W2972636183","https://openalex.org/W3153504207","https://openalex.org/W3159763193","https://openalex.org/W3183318120","https://openalex.org/W4239914314"],"related_works":["https://openalex.org/W2883428388","https://openalex.org/W1679315481","https://openalex.org/W3151495635","https://openalex.org/W4385170164","https://openalex.org/W4389992710","https://openalex.org/W2566010174","https://openalex.org/W2805827740","https://openalex.org/W1908935147","https://openalex.org/W1966708639","https://openalex.org/W1971404201"],"abstract_inverted_index":{"In":[0,153],"this":[1],"work,":[2],"we":[3],"present":[4],"a":[5,16,38,64,81,97,112,117,198],"predictive":[6,99,133],"control":[7,100],"strategy,":[8],"along":[9],"with":[10],"associated":[11,132],"data-driven":[12],"simulation":[13,156],"results,":[14,157],"for":[15,116,188],"morphing-wing":[17],"energy-harvesting":[18],"kite.":[19],"The":[20],"kite":[21,62,129,172],"under":[22],"consideration":[23],"is":[24,161],"capable":[25],"of":[26,58,106],"adjusting":[27,44],"its":[28,45],"tether":[29,51,70],"length":[30],"to":[31,92,108,163,180],"seek":[32],"the":[33,50,61,127,155,158,171,181,190,194,204],"optimal":[34],"wind":[35,53,150],"environment":[36],"within":[37,96,189],"spatiotemporally":[39,140],"varying":[40,141],"field,":[41],"while":[42],"actively":[43],"wing":[46],"geometry":[47],"based":[48,79,138],"on":[49,80,139],"length,":[52,71],"conditions,":[54],"and":[55,73,121,131],"energetic":[56],"cost":[57],"morphing.":[59],"Specifically,":[60],"deploys":[63],"two-step":[65,195],"optimization":[66,196],"process.":[67],"First,":[68],"power-optimal":[69],"elevation,":[72],"aspect":[74],"ratio":[75],"setpoints":[76,86],"are":[77,87,90,186],"computed":[78],"quasi-static":[82],"model.":[83],"After":[84],"those":[85],"computed,":[88],"they":[89],"used":[91],"formulate":[93],"terminal":[94],"constraints":[95],"model":[98,120],"(MPC)":[101],"formulation":[102],"that":[103,169,185],"prescribes":[104],"rates":[105],"change":[107],"these":[109],"variables":[110],"over":[111,203],"receding":[113],"horizon,":[114],"accounting":[115],"simplified":[118],"dynamic":[119],"morphing":[122,128,182],"power":[123,183],"requirements.":[124],"To":[125],"evaluate":[126],"concept":[130],"controller,":[134],"simulations":[135],"were":[136],"performed":[137],"flow":[142],"data":[143],"obtained":[144],"from":[145],"observed":[146],"boundary":[147],"layer":[148],"Doppler":[149],"profile":[151],"readings.":[152],"presenting":[154],"developed":[159],"algorithm":[160,168],"compared":[162],"an":[164],"impatient":[165,205],"\u201coptimum":[166,206],"chasing\u201d":[167,207],"changes":[170],"parameters":[173],"as":[174,176],"quickly":[175],"possible,":[177],"without":[178],"regard":[179],"requirements":[184],"accounted":[187],"MPC":[191],"optimization.":[192],"With":[193],"algorithm,":[197],"25.53%":[199],"increase":[200],"was":[201],"seen":[202],"algorithm.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}