{"id":"W4392362031","doi":"10.18280/jesa.570113","title":"Performance Comparison of PI, Fuzzy Logic, and Sliding Mode Controls for Wind Turbine Power Management","year":2024,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbine; Control theory (sociology); Fuzzy logic; Power (physics); Mode (computer interface); Computer science; Electrical engineering; Control engineering; Engineering; Physics; Mechanical engineering; Control (management); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001396265,0.0005114924,0.0005672905,0.0006000243,0.0003911346,0.001214595,0.0004211792,0.0006136838,0.00209385],"category_scores_gemma":[0.003388406,0.000180558,0.0002540161,0.0003097996,0.0003218919,0.0006985911,0.0003081567,0.0004403241,0.0002426376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004839734,"about_ca_system_score_gemma":0.000445037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002788619,"about_ca_topic_score_gemma":0.002143485,"domain_scores_codex":[0.9993667,0.0001503492,0.00005309266,0.00008123025,0.0002813819,0.00006715248],"domain_scores_gemma":[0.9984868,0.0008889002,0.00009464757,0.00006124441,0.0004279327,0.00004056047],"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":[0.005066189,0.000582119,0.005346254,0.001292622,0.0002581472,0.0002362852,0.0003784449,0.4859341,0.03444797,0.009311635,0.001891218,0.455255],"study_design_scores_gemma":[0.0001158957,0.001785121,0.003215372,0.00002717226,0.00007047456,0.00004408466,0.0001070868,0.9819059,0.01032887,0.001428052,0.0009438443,0.00002811067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.578949,0.003936406,0.3834686,0.0004753857,0.000492468,0.0002687243,0.0001215398,0.001575668,0.0307123],"genre_scores_gemma":[0.9915468,0.0002261152,0.00725811,0.00002404046,0.0000139723,0.00003182148,0.00002809352,0.00001060611,0.0008605018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002788619,"threshold_uncertainty_score":0.007384241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200024549520641,"score_gpt":0.2684376723350649,"score_spread":0.2484352173830008,"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."}}