{"id":"W2170675420","doi":"10.1002/rnc.2860","title":"A rotor speed estimation algorithm in variable speed permanent magnet synchronous generator wind energy conversion system","year":2012,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Royal Military College of Canada; Université du Québec à Chicoutimi","funders":"","keywords":"Control theory (sociology); Permanent magnet synchronous generator; Stator; Rotor (electric); Wind speed; Vector control; Electronic speed control; Estimator; Computer science; Magnet; Engineering; Voltage; Mathematics; Physics; Induction motor","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":[0.000362093,0.0003857959,0.0004744772,0.0003012384,0.0002996472,0.0005796653,0.0004395143,0.0004506086,0.00133693],"category_scores_gemma":[0.0006725249,0.0002228738,0.0002044876,0.0002875603,0.0002230443,0.0003459578,0.0002496547,0.000463158,0.0005039374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002284311,"about_ca_system_score_gemma":0.000386043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002346757,"about_ca_topic_score_gemma":0.001456634,"domain_scores_codex":[0.9997985,0.00004049563,0.00001885709,0.00005022011,0.00007377923,0.00001822187],"domain_scores_gemma":[0.9997877,0.00004993037,0.00003365665,0.00001970922,0.00009941313,0.00000956808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002608523,0.00005646387,0.001085764,0.0001839273,0.00004770127,0.0002066024,0.000144372,0.4719751,0.02797846,0.009318509,0.002296756,0.4864456],"study_design_scores_gemma":[0.00002108982,0.00005935376,0.0003197155,0.000006061773,0.000006792192,0.00004172703,0.000006747541,0.9954553,0.002561768,0.0005867833,0.0009275879,0.000006971497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01683015,0.0001605138,0.9806893,0.0000570153,0.00004296769,0.00005099465,0.00001828066,0.0006057287,0.001545098],"genre_scores_gemma":[0.7601134,0.0001864823,0.2358515,0.00004970195,0.00003989169,0.00012556,0.00009244346,0.00003993242,0.003501054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002346757,"threshold_uncertainty_score":0.004666209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005739135500558444,"score_gpt":0.1959584055686021,"score_spread":0.1902192700680437,"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."}}