{"id":"https://openalex.org/W4304755967","doi":"https://doi.org/10.1145/3562007.3562010","title":"A Stabilized BLDCM Speed Regulation Control Method for Electric Energy Vehicle based on Deep Reinforcement Learning","display_name":"A Stabilized BLDCM Speed Regulation Control Method for Electric Energy Vehicle based on Deep Reinforcement Learning","publication_year":2022,"publication_date":"2022-08-26","ids":{"openalex":"https://openalex.org/W4304755967","doi":"https://doi.org/10.1145/3562007.3562010"},"language":"en","primary_location":{"id":"doi:10.1145/3562007.3562010","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3562007.3562010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 3rd International Conference on Control, Robotics and Intelligent System","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/A5072482359","display_name":"Bojun Liu","orcid":"https://orcid.org/0000-0002-3062-1612"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bojun Liu","raw_affiliation_strings":["School of Microelectronics, South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084008501","display_name":"Zhaohui Wu","orcid":"https://orcid.org/0000-0002-0725-6792"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Wu","raw_affiliation_strings":["School of Microelectronics, South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054848259","display_name":"Yanqi Zheng","orcid":"https://orcid.org/0000-0001-9501-2466"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqi Zheng","raw_affiliation_strings":["School of Microelectronics, South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100365189","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-5430-8532"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["School of Microelectronics, South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072482359"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08389457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10504","display_name":"Sensorless Control of Electric Motors","score":0.9957000017166138,"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"}},"topics":[{"id":"https://openalex.org/T10504","display_name":"Sensorless Control of Electric Motors","score":0.9957000017166138,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10223","display_name":"Microgrid Control and Optimization","score":0.988099992275238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pid-controller","display_name":"PID controller","score":0.8612188100814819},{"id":"https://openalex.org/keywords/overshoot","display_name":"Overshoot (microwave communication)","score":0.8173829317092896},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.7346848249435425},{"id":"https://openalex.org/keywords/dc-motor","display_name":"DC motor","score":0.6886334419250488},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6427833437919617},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6096895933151245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5414375066757202},{"id":"https://openalex.org/keywords/electronic-speed-control","display_name":"Electronic speed control","score":0.5204458832740784},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.45907068252563477},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.428377240896225},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.33881765604019165},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29147419333457947},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19227051734924316},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.16913339495658875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15024757385253906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14501944184303284},{"id":"https://openalex.org/keywords/temperature-control","display_name":"Temperature control","score":0.10456129908561707},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07281529903411865}],"concepts":[{"id":"https://openalex.org/C47116090","wikidata":"https://www.wikidata.org/wiki/Q716829","display_name":"PID controller","level":3,"score":0.8612188100814819},{"id":"https://openalex.org/C2780323453","wikidata":"https://www.wikidata.org/wiki/Q7113957","display_name":"Overshoot (microwave communication)","level":2,"score":0.8173829317092896},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7346848249435425},{"id":"https://openalex.org/C76684090","wikidata":"https://www.wikidata.org/wiki/Q3842034","display_name":"DC motor","level":2,"score":0.6886334419250488},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6427833437919617},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6096895933151245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5414375066757202},{"id":"https://openalex.org/C45641319","wikidata":"https://www.wikidata.org/wiki/Q550768","display_name":"Electronic speed control","level":2,"score":0.5204458832740784},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.45907068252563477},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.428377240896225},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.33881765604019165},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29147419333457947},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19227051734924316},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.16913339495658875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15024757385253906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14501944184303284},{"id":"https://openalex.org/C536315585","wikidata":"https://www.wikidata.org/wiki/Q7698332","display_name":"Temperature control","level":2,"score":0.10456129908561707},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07281529903411865},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3562007.3562010","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3562007.3562010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 3rd International Conference on Control, Robotics and Intelligent System","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8500000238418579,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2165576566","https://openalex.org/W2400392116","https://openalex.org/W2800601010","https://openalex.org/W2803045431","https://openalex.org/W2924035145","https://openalex.org/W4200242662"],"related_works":["https://openalex.org/W4293868274","https://openalex.org/W4386412075","https://openalex.org/W2698567378","https://openalex.org/W4389515241","https://openalex.org/W2810278913","https://openalex.org/W2110981444","https://openalex.org/W2547959363","https://openalex.org/W2588803791","https://openalex.org/W1990552079","https://openalex.org/W2810713104"],"abstract_inverted_index":{"Electric":[0],"new":[1,96],"energy":[2,32,110],"vehicles":[3,9],"are":[4,41],"gradually":[5],"replacing":[6],"traditional":[7,55,174],"fuel":[8],"by":[10],"their":[11],"more":[12],"environmental":[13],"advantages":[14],"and":[15,39,67,79,130,178],"better":[16],"control":[17,82,166,186],"systems.":[18],"In":[19,92],"the":[20,34,76,81,120,124,131,141,146,149,158,162,165,180,194],"normally":[21],"used":[22,73],"brushless":[23,112,125],"DC":[24,113,126,184],"motor":[25,114,127],"speed":[26,115,121,142,163,185],"regulation":[27],"system":[28,83,187],"for":[29,108],"nowadays":[30],"electric":[31,109],"vehicles,":[33],"rising":[35],"time,":[36],"adjustment":[37,196],"time":[38,78],"overshoot":[40,181],"most":[42],"important":[43],"performance":[44,84],"parameters.":[45,151],"Although":[46],"some":[47],"proportional-integral-derivative":[48],"(PID)":[49],"parameter":[50,98],"tuning":[51,99,147],"methods":[52],"such":[53],"as":[54,164],"PID,":[56,175],"particle":[57],"swarm":[58],"optimization":[59,64],"(PSO)":[60],"algorithm,":[61,66],"gray":[62],"wolf":[63],"(GWO)":[65],"sparrow":[68],"search":[69],"algorithm":[70,100,137],"(SSA)":[71],"were":[72],"to":[74,89,140,144],"reduce":[75],"response":[77],"overshoot,":[80],"still":[85],"has":[86,188],"much":[87],"room":[88],"be":[90],"improved.":[91],"this":[93],"paper,":[94],"a":[95],"PID":[97,150],"based":[101],"on":[102,157],"deep":[103,132],"reinforcement":[104],"learning":[105],"is":[106,128,138,154],"proposed":[107,183],"vehicle":[111],"control.":[116],"The":[117,152,168],"model":[118],"of":[119,123,148,182],"loop/current":[122],"designed":[129],"deterministic":[133],"policy":[134],"gradient":[135],"(DDPG)":[136],"added":[139],"loop":[143],"realize":[145],"simulation":[153],"carried":[155],"out":[156],"Simulink":[159],"platform":[160],"with":[161,173],"variable.":[167],"results":[169],"show":[170],"that,":[171],"compared":[172],"PSO,":[176],"GWO":[177],"SSA,":[179],"been":[189],"significantly":[190],"improved":[191],"while":[192],"keeping":[193],"shortest":[195],"time.":[197]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}