{"id":"https://openalex.org/W7154121552","doi":"https://doi.org/10.1109/access.2026.3683374","title":"Experimental Data-Driven LSTM Modeling for IPMSM Drive Systems","display_name":"Experimental Data-Driven LSTM Modeling for IPMSM Drive Systems","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7154121552","doi":"https://doi.org/10.1109/access.2026.3683374"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3683374","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3683374","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3683374","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133484071","display_name":"Yuki Shimizu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuki Shimizu","raw_affiliation_strings":["MotorAI, Inc., Kusatsu, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8828-9563","affiliations":[{"raw_affiliation_string":"MotorAI, Inc., Kusatsu, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012636891","display_name":"Kan Akatsu","orcid":"https://orcid.org/0000-0002-7650-1018"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kan Akatsu","raw_affiliation_strings":["Faculty of Engineering, Yokohama National University, Yokohama, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7650-1018","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Yokohama National University, Yokohama, Japan","institution_ids":["https://openalex.org/I180203408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38817844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"57463","last_page":"57474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.17159999907016754,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11236","display_name":"Control Systems and Identification","score":0.17159999907016754,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11206","display_name":"Model Reduction and Neural Networks","score":0.15199999511241913,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.05119999870657921,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.450300008058548},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.35350000858306885},{"id":"https://openalex.org/keywords/torque","display_name":"Torque","score":0.303600013256073},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.27090001106262207},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.26460000872612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7199000120162964},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.450300008058548},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.35350000858306885},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26910001039505005},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2653000056743622},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2648000121116638},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.25780001282691956}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3683374","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3683374","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e07e6b435f0c49d1ae9ac676c07dfd9b","is_oa":true,"landing_page_url":"https://doaj.org/article/e07e6b435f0c49d1ae9ac676c07dfd9b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 57463-57474 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3683374","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3683374","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Interior":[0],"permanent":[1,173],"magnet":[2,174],"synchronous":[3,175],"motors":[4,176],"are":[5,23],"key":[6],"components":[7],"in":[8,63,188],"electric":[9],"vehicle":[10],"powertrains,":[11],"wind":[12],"turbine":[13],"generators,":[14],"and":[15,28,35,49,81,104,122,130,149,177,185],"industrial":[16],"drives,":[17],"where":[18],"accurate":[19],"current":[20],"prediction":[21],"models":[22,38,164],"needed":[24],"for":[25,182],"high-performance":[26],"control":[27,184],"condition":[29],"monitoring.":[30],"However,":[31],"conventionaldq-axis":[32],"voltage":[33,119],"equations":[34],"finite-element-based":[36],"lookup":[37],"struggle":[39],"to":[40,111],"capture":[41],"nonlinear":[42,169],"phenomena":[43],"such":[44],"as":[45,96,98],"magnetic":[46],"saturation,":[47],"cross-coupling,":[48],"spatial":[50],"harmonics":[51],"under":[52],"realistic":[53],"manufactured":[54],"variations.":[55],"This":[56],"paper":[57],"proposes":[58],"a":[59,65,179],"purely":[60],"data-driven":[61],"approach":[62],"which":[64],"long":[66,161],"short-term":[67,162],"memory":[68,163],"network":[69],"is":[70],"trained":[71],"directly":[72],"on":[73],"experimentally":[74],"measured":[75],"three-phase":[76],"voltages,":[77],"currents,":[78],"rotor":[79],"position,":[80],"speed.":[82],"On":[83],"test":[84],"conditions":[85],"not":[86],"seen":[87],"during":[88],"training,":[89],"the":[90,150,168],"proposed":[91],"model":[92,121],"achieves":[93],"root-mean-square":[94],"errors":[95],"low":[97],"0.069":[99],"A":[100,106],"at":[101,107],"10":[102],"Arms":[103],"0.032":[105],"1":[108],"Arms,":[109],"corresponding":[110],"about":[112,123],"96%":[113],"error":[114],"reduction":[115],"compared":[116],"with":[117],"adq-axis":[118],"equation":[120],"50%":[124],"improvement":[125],"over":[126],"gated":[127],"recurrent":[128],"unit":[129],"Transformer":[131],"baselines.":[132],"Fast":[133],"Fourier":[134],"transform":[135],"analysis":[136],"shows":[137],"that":[138,159],"it":[139],"reproduces":[140],"phase-current":[141],"total":[142],"harmonic":[143,152],"distortion":[144],"within":[145,154],"0.2":[146],"percentage":[147],"points":[148],"main":[151],"amplitudes":[153],"7%.":[155],"These":[156],"results":[157],"indicate":[158],"experimental-data-driven":[160],"can":[165],"accurately":[166],"represent":[167],"behavior":[170],"of":[171],"interior":[172],"provide":[178],"practical":[180],"basis":[181],"advanced":[183],"monitoring":[186],"functions":[187],"motor":[189],"drive":[190],"systems.":[191]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-04-14T00:00:00"}