{"id":"W1569701991","doi":"10.1109/ccece.2015.7129433","title":"Sliding mode speed control for wind energy conversion systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Saint Mary's University","funders":"","keywords":"Variable speed wind turbine; Turbine; Robustness (evolution); Control theory (sociology); Wind speed; Wind power; Sliding mode control; Parametric statistics; Computer science; Generator (circuit theory); Control system; Control engineering; Engineering; Permanent magnet synchronous generator; Control (management); Power (physics); Voltage; Aerospace engineering; Nonlinear system; Electrical engineering; Physics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002403925,0.0004836162,0.0003598169,0.000214022,0.0002075985,0.0007536322,0.0003691021,0.0003973911,0.001666194],"category_scores_gemma":[0.0004218422,0.000157399,0.0002348,0.0002556986,0.0003407461,0.0003351041,0.0002967734,0.0005180531,0.0002624234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002496178,"about_ca_system_score_gemma":0.0003010939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003113022,"about_ca_topic_score_gemma":0.001808691,"domain_scores_codex":[0.9998645,0.00003379432,0.000009313082,0.00002707341,0.00005105745,0.00001434888],"domain_scores_gemma":[0.9998825,0.0000429236,0.00001664106,0.00001115857,0.00004099753,0.00000578152],"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":[0.0001710145,0.00008755941,0.0005399055,0.0003563505,0.00006896839,0.0002430785,0.0002320579,0.7318509,0.02479861,0.0335786,0.003527065,0.2045459],"study_design_scores_gemma":[0.00001812427,0.0001104776,0.0002322568,0.000008976942,0.000006150317,0.00001569692,0.00001158186,0.993831,0.001242795,0.003043822,0.001472834,0.00000623962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03277927,0.001502265,0.9561659,0.0001701858,0.0001792659,0.00005272569,0.00003770025,0.0004671927,0.00864547],"genre_scores_gemma":[0.9781814,0.0006920618,0.01495159,0.0000452717,0.00005721346,0.00009136662,0.00005139083,0.00002121498,0.005908481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003113022,"threshold_uncertainty_score":0.006189823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906712263553678,"score_gpt":0.2251909373144467,"score_spread":0.2061238146789099,"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."}}