{"id":"https://openalex.org/W2059738941","doi":"https://doi.org/10.1109/icmlc.2012.6359461","title":"The application of GA-based PID parameter optimization for the control of superheated steam temperature","display_name":"The application of GA-based PID parameter optimization for the control of superheated steam temperature","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2059738941","doi":"https://doi.org/10.1109/icmlc.2012.6359461","mag":"2059738941"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2012.6359461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2012.6359461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5097483034","display_name":"Wang Jingi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang Jingi","raw_affiliation_strings":["Huaneng Shanghai Combined Cycle Power CO., LTD, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huaneng Shanghai Combined Cycle Power CO., LTD, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115596430","display_name":"Xue Yang","orcid":"https://orcid.org/0009-0009-8165-7832"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Yang","raw_affiliation_strings":["School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai, China","Huaneng Shanghai Combined Cycle Power CO., LTD, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"Huaneng Shanghai Combined Cycle Power CO., LTD, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Chen Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Lei","raw_affiliation_strings":["School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai, China","Huaneng Shanghai Combined Cycle Power CO., LTD, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"Huaneng Shanghai Combined Cycle Power CO., LTD, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0941,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74277215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"25","issue":null,"first_page":"835","last_page":"839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9976999759674072,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9976999759674072,"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/T11081","display_name":"Advanced Control Systems Design","score":0.9922000169754028,"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/T11749","display_name":"Iterative Learning Control Systems","score":0.991599977016449,"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":0.8910666704177856},{"id":"https://openalex.org/keywords/overshoot","display_name":"Overshoot (microwave communication)","score":0.8553835153579712},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.7920982241630554},{"id":"https://openalex.org/keywords/superheated-steam","display_name":"Superheated steam","score":0.5937604308128357},{"id":"https://openalex.org/keywords/inertia","display_name":"Inertia","score":0.5770301222801208},{"id":"https://openalex.org/keywords/temperature-control","display_name":"Temperature control","score":0.5326416492462158},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5048788189888},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4811488389968872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44931358098983765},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3607980012893677},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2927601933479309},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2309063971042633},{"id":"https://openalex.org/keywords/boiler","display_name":"Boiler (water heating)","score":0.17402514815330505},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09598389267921448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0796927809715271}],"concepts":[{"id":"https://openalex.org/C47116090","wikidata":"https://www.wikidata.org/wiki/Q716829","display_name":"PID controller","level":3,"score":0.8910666704177856},{"id":"https://openalex.org/C2780323453","wikidata":"https://www.wikidata.org/wiki/Q7113957","display_name":"Overshoot (microwave communication)","level":2,"score":0.8553835153579712},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.7920982241630554},{"id":"https://openalex.org/C192811776","wikidata":"https://www.wikidata.org/wiki/Q2164304","display_name":"Superheated steam","level":3,"score":0.5937604308128357},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.5770301222801208},{"id":"https://openalex.org/C536315585","wikidata":"https://www.wikidata.org/wiki/Q7698332","display_name":"Temperature control","level":2,"score":0.5326416492462158},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5048788189888},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4811488389968872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44931358098983765},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3607980012893677},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2927601933479309},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2309063971042633},{"id":"https://openalex.org/C2780013297","wikidata":"https://www.wikidata.org/wiki/Q19596153","display_name":"Boiler (water heating)","level":2,"score":0.17402514815330505},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09598389267921448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0796927809715271},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2012.6359461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2012.6359461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2054234206","https://openalex.org/W2361983379","https://openalex.org/W2393256588","https://openalex.org/W3093880756"],"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/W4223416174"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,13,22,30,33,45,48,67,76,83,107],"characteristics":[3],"as":[4,32],"time-delay,":[5],"large":[6],"inertia":[7],"of":[8,29,47,58,78],"superheated":[9],"steam":[10],"temperature":[11],"in":[12,71],"power":[14],"plants,":[15],"an":[16,93],"optimal":[17,59],"PID":[18,40,60,69],"controller":[19,70,90],"which":[20],"takes":[21],"overshoot,":[23],"rise":[24],"time":[25,28],"and":[26,80,104],"setting":[27],"system":[31],"performance":[34],"indicators":[35],"have":[36],"been":[37],"proposed.":[38],"The":[39,89],"parameters":[41,61],"were":[42,62],"optimized":[43],"by":[44],"means":[46],"genetic":[49],"algorithm":[50],"with":[51,97],"real":[52],"number":[53],"encoding.":[54],"Finally,":[55],"a":[56],"group":[57],"obtained.":[63],"Simulation":[64],"results":[65],"indicate":[66],"GA-Based":[68],"this":[72],"paper":[73],"still":[74],"has":[75],"ability":[77],"self-learning":[79],"adaptive":[81],"even":[82],"controlled":[84,108],"object":[85,109],"is":[86,110],"greatly":[87],"changed.":[88],"can":[91],"acquire":[92],"ideal":[94],"control":[95],"effect":[96],"shorter":[98],"dynamic":[99],"transition":[100],"time,":[101],"smaller":[102],"overshoot":[103],"oscillation":[105],"when":[106],"changing.":[111]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}