{"id":"W2013457647","doi":"10.1260/030952406778606232","title":"Fuzzy Logic Based Vector Control of a Doubly-Fed Induction Generator in Wind Power Application","year":2006,"lang":"en","type":"article","venue":"Wind Engineering","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Control theory (sociology); PID controller; Wind power; Induction generator; Fuzzy logic; Vector control; Variable speed wind turbine; Controller (irrigation); Turbine; Fuzzy control system; Computer science; Engineering; Control engineering; Power (physics); Generator (circuit theory); Induction motor; Voltage; Physics; Temperature control; Control (management)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019283,0.0002490678,0.0003608785,0.0003014361,0.00001771896,0.00002358071,0.0001352372,0.0001799549,0.00001217388],"category_scores_gemma":[0.00002157305,0.0002685235,0.00007937869,0.0004104066,0.00001190322,0.0001455794,0.000008248014,0.0002074053,0.00001833169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844492,"about_ca_system_score_gemma":0.00001965472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009595818,"about_ca_topic_score_gemma":0.00001203457,"domain_scores_codex":[0.9987379,0.00001790994,0.0004856624,0.0002267011,0.000195177,0.0003367031],"domain_scores_gemma":[0.9994972,0.00004192728,0.00006234655,0.0002913266,0.00004746323,0.00005970202],"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":[0.00001248907,0.00002225342,0.001594454,0.0000697087,0.0000175683,0.000003193758,0.000023907,0.7047296,0.2928635,0.0005211797,0.00004382262,0.00009842542],"study_design_scores_gemma":[0.004138839,0.00007473862,0.0944763,0.0001109712,0.00003515409,0.000011022,0.00001633115,0.8771352,0.0205374,0.0000776361,0.002758392,0.0006280411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318393,0.0008137072,0.0645633,0.00006503455,0.0006827515,0.0006409403,0.00002033034,0.0004071643,0.0009674935],"genre_scores_gemma":[0.9988983,9.035285e-7,0.0005193846,0.00001251509,0.0004154198,0.00005503131,0.00002092586,0.00006599784,0.00001157719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2723261,"threshold_uncertainty_score":0.9999767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004547345950739697,"score_gpt":0.1714462778552823,"score_spread":0.1668989319045426,"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."}}