{"id":"https://openalex.org/W3095281867","doi":"https://doi.org/10.1109/access.2020.3034122","title":"Dynamic Loading System of an Agricultural Vehicle Power Wagon Based on Complex Loading","display_name":"Dynamic Loading System of an Agricultural Vehicle Power Wagon Based on Complex Loading","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3095281867","doi":"https://doi.org/10.1109/access.2020.3034122","mag":"3095281867"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3034122","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3034122","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.2020.3034122","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100661783","display_name":"Xianghai Yan","orcid":"https://orcid.org/0000-0001-5585-5186"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghai Yan","raw_affiliation_strings":["College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0001-5585-5186","affiliations":[{"raw_affiliation_string":"College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071271375","display_name":"Qianwen Tao","orcid":"https://orcid.org/0000-0002-5404-0839"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianwen Tao","raw_affiliation_strings":["College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101474513","display_name":"Liyou Xu","orcid":"https://orcid.org/0000-0002-5427-1469"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyou Xu","raw_affiliation_strings":["College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I167383011"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.149,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47189374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"196667","last_page":"196674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9907000064849854,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9907000064849854,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9750000238418579,"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/T14474","display_name":"Industrial Technology and Control Systems","score":0.9537000060081482,"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":0.7713098526000977},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.7353954315185547},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6225682497024536},{"id":"https://openalex.org/keywords/tractor","display_name":"Tractor","score":0.5269758701324463},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5144786834716797},{"id":"https://openalex.org/keywords/traction","display_name":"Traction (geology)","score":0.5099021196365356},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.4858074188232422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46506550908088684},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.44561177492141724},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.43162044882774353},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.4232766628265381},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41275113821029663},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3241792321205139}],"concepts":[{"id":"https://openalex.org/C47116090","wikidata":"https://www.wikidata.org/wiki/Q716829","display_name":"PID controller","level":3,"score":0.7713098526000977},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7353954315185547},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6225682497024536},{"id":"https://openalex.org/C2780427559","wikidata":"https://www.wikidata.org/wiki/Q39495","display_name":"Tractor","level":2,"score":0.5269758701324463},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5144786834716797},{"id":"https://openalex.org/C38834483","wikidata":"https://www.wikidata.org/wiki/Q17000223","display_name":"Traction (geology)","level":2,"score":0.5099021196365356},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.4858074188232422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46506550908088684},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.44561177492141724},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.43162044882774353},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.4232766628265381},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41275113821029663},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3241792321205139},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C536315585","wikidata":"https://www.wikidata.org/wiki/Q7698332","display_name":"Temperature control","level":2,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3034122","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3034122","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:f5de932c809840b28ce67edaad2d3cbf","is_oa":true,"landing_page_url":"https://doaj.org/article/f5de932c809840b28ce67edaad2d3cbf","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 8, Pp 196667-196674 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3034122","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3034122","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":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G8602667501","display_name":null,"funder_award_id":"18HASTIT026","funder_id":"https://openalex.org/F4320321760","funder_display_name":"Henan University of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321760","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1000594806","https://openalex.org/W1992377775","https://openalex.org/W2121013093","https://openalex.org/W2257607850","https://openalex.org/W2348077769","https://openalex.org/W2360111532","https://openalex.org/W2606088176","https://openalex.org/W2750494416","https://openalex.org/W2951386605","https://openalex.org/W3014013992","https://openalex.org/W3022914504","https://openalex.org/W3036567110","https://openalex.org/W3048788076","https://openalex.org/W7043236848","https://openalex.org/W7045664375"],"related_works":["https://openalex.org/W2146713717","https://openalex.org/W4300792815","https://openalex.org/W4360842360","https://openalex.org/W2092929750","https://openalex.org/W4320153722","https://openalex.org/W4312966249","https://openalex.org/W2025747511","https://openalex.org/W2916402576","https://openalex.org/W2046558174","https://openalex.org/W2782646741"],"abstract_inverted_index":{"A":[0],"dynamic":[1,107,155],"loading":[2,16,80,108,224],"system":[3,81,152,225,242],"of":[4,14,25,38,57,110,134,143,159,195,201,222,232,240],"a":[5,26,66,93,202],"power":[6,27,100],"wagon":[7,28],"is":[8,41,62,82,90,122,172,180,190,207,243,251,257,265],"studied":[9],"to":[10,98,124,129],"solve":[11],"the":[12,54,79,99,106,111,115,135,160,169,177,184,193,198,210,219,223,228,233,241,247,262],"problems":[13],"low":[15],"precision,":[17],"slow":[18],"response":[19,154],"speed,":[20],"and":[21,50,141,176,214,246,261],"poor":[22],"adaptive":[23],"capability":[24],"in":[29],"an":[30,39,58,131],"agricultural":[31],"vehicle":[32,51],"traction":[33,89,199],"test.":[34],"The":[35,75,84,139,212,235,254],"load":[36,55,231,238],"feature":[37,56],"engine":[40],"analyzed":[42],"under":[43],"different":[44],"gear":[45],"locations,":[46],"governor":[47],"handle":[48],"positions,":[49],"speeds.":[52],"Meanwhile,":[53],"eddy":[59,112],"current":[60,113],"retarder":[61],"examined":[63],"based":[64],"on":[65,209],"backpropagation":[67],"(BP)":[68],"neural":[69,117,186],"network":[70,118,187],"proportional-integral-derivative":[71],"(PID)":[72],"control":[73,120,145,163,189],"algorithm.":[74,164],"mathematical":[76],"model":[77,87],"for":[78,88],"established.":[83],"time":[85],"domain":[86],"refactored":[91],"by":[92,149],"white":[94],"noise":[95],"filter":[96],"according":[97],"spectral":[101],"density":[102],"function.":[103],"To":[104],"improve":[105],"performance":[109],"retarder,":[114],"BP":[116,185],"PID":[119,162,188],"algorithm":[121,146],"used":[123],"change":[125],"its":[126,151],"exciting":[127],"voltage":[128],"achieve":[130],"accurate":[132],"simulation":[133],"actual":[136,230],"working":[137],"load.":[138],"effectiveness":[140],"practicability":[142],"this":[144,196],"are":[147],"validated":[148],"comparing":[150],"output":[153,170,220,237,255],"characteristics":[156],"with":[157,204],"those":[158],"traditional":[161],"Simulation":[165],"results":[166,216],"show":[167],"that":[168,218],"error":[171,256],"less":[173,258],"than":[174,259],"2.8%":[175],"maximum":[178,236,263],"delay":[179,264],"56.5":[181],"ms":[182],"when":[183],"used.":[191],"On":[192],"basis":[194],"result,":[197],"property":[200],"tractor":[203],"several":[205],"wheels":[206],"tested":[208],"road.":[211],"test":[213],"analysis":[215],"indicate":[217],"loads":[221],"accurately":[226],"simulate":[227],"field":[229],"tractor.":[234],"value":[239],"42-48":[244],"kN":[245],"applicable":[248],"speed":[249],"range":[250],"0-25":[252],"km/h.":[253],"3.5%":[260],"85.6":[266],"ms.":[267]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}