{"id":"W4224304750","doi":"10.3390/electronics11081290","title":"Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Khalid University; Trent University; Nottingham Trent University; Centre International de Recherche sur le Cancer","keywords":"Control theory (sociology); Particle swarm optimization; Controller (irrigation); PID controller; Wind power; Turbine; Pitch angle; Genetic algorithm; MATLAB; Computer science; Power (physics); Engineering; Control engineering; Algorithm; Physics; Control (management)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002782551,0.0004647989,0.0003980121,0.0001983056,0.0003030844,0.0007364874,0.0003202393,0.0003906312,0.001033574],"category_scores_gemma":[0.0005075962,0.0002210167,0.0002630948,0.0002233218,0.0002698494,0.0002660714,0.0001877247,0.0004016248,0.0001471236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003179298,"about_ca_system_score_gemma":0.0006146597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004122163,"about_ca_topic_score_gemma":0.003591865,"domain_scores_codex":[0.9998877,0.00002547716,0.000007442046,0.00002293422,0.00004384851,0.00001257795],"domain_scores_gemma":[0.9998708,0.00005418531,0.00002706808,0.000006680889,0.00003667442,0.000004536097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005751436,0.00003061918,0.000346645,0.00008906274,0.0000240189,0.00005431,0.0000354281,0.9592245,0.006152909,0.002159585,0.0003736239,0.03145178],"study_design_scores_gemma":[0.00001192987,0.00002755907,0.0001542877,0.000004791126,0.000006315259,0.00000745759,0.000005607423,0.9982716,0.0008150362,0.0003560237,0.0003371893,0.000002252275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0768403,0.0006721898,0.9112835,0.0001560089,0.00006582301,0.0001200107,0.00005053881,0.0004079911,0.01040362],"genre_scores_gemma":[0.9288999,0.0002730943,0.06860436,0.0000293235,0.00001602855,0.0001505638,0.00005880675,0.00002683689,0.0019411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004122163,"threshold_uncertainty_score":0.008196354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007757402552826404,"score_gpt":0.2110500154651858,"score_spread":0.2032926129123594,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}