{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001771718,0.0001243165,0.0002387768,0.0000647726,0.00003229869,0.00007720928,0.00008002093,0.00008444618,0.00001756464],"category_scores_gemma":[0.00001871628,0.0001096261,0.00006519295,0.00005729068,0.000004798883,0.0001601097,0.000005325755,0.00003068411,0.00005014483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000885296,"about_ca_system_score_gemma":0.00001636287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002744815,"about_ca_topic_score_gemma":0.000005118016,"domain_scores_codex":[0.9992494,0.00002668057,0.0002420829,0.000122263,0.0001533785,0.0002061867],"domain_scores_gemma":[0.9994823,0.00008413157,0.00003248166,0.0001478822,0.00009948479,0.0001536828],"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":[0.00004243357,0.000005628895,0.0001541378,0.00004063107,0.00006106607,0.000001077906,0.00006217841,0.9753276,0.005177882,0.01021143,0.008673944,0.0002419847],"study_design_scores_gemma":[0.002965525,0.00002476634,0.00001183853,0.00001556175,0.00001565016,0.000003155222,0.0002240926,0.959459,0.0005337091,0.00005038528,0.03655801,0.0001383246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02540731,0.0006719387,0.8834563,0.0001041379,0.002740906,0.000828381,0.00002442996,0.0009182214,0.08584832],"genre_scores_gemma":[0.9970206,0.000002795723,0.00005518306,0.00004768741,0.0002964721,0.00001233466,0.00001363944,0.0000294183,0.002521848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9716133,"threshold_uncertainty_score":0.4470423,"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."}}