{"id":"W2923042776","doi":"10.1007/s40435-019-00533-w","title":"Doubly fed induction wind generators model and field orientation vector control design and implementation on FPGA","year":2019,"lang":"en","type":"article","venue":"International Journal of Dynamics and Control","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Field-programmable gate array; Vector control; Flexibility (engineering); Induction generator; Computer science; Control engineering; Generator (circuit theory); Wind power; Software; Scheme (mathematics); Doubly fed electric machine; Control theory (sociology); Power (physics); AC power; Engineering; Control (management); Embedded system; Induction motor; Voltage; Mathematics; Electrical engineering","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":[0.0002308986,0.0001097058,0.0001765562,0.0001440283,0.00003009864,0.0001305091,0.00005582826,0.00006027009,0.00001472015],"category_scores_gemma":[0.00001318099,0.00009817075,0.00003465614,0.00002920845,0.0000096729,0.0002569036,0.000005040335,0.0001084544,0.000001215433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007568664,"about_ca_system_score_gemma":0.00002090813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001479784,"about_ca_topic_score_gemma":0.00001200213,"domain_scores_codex":[0.9992059,0.00003943475,0.000334736,0.0001014136,0.0002299697,0.00008853034],"domain_scores_gemma":[0.9994373,0.0001166026,0.0001586231,0.00004530781,0.0001770355,0.00006514069],"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":[0.001281863,0.00002625611,0.006964368,0.00001961515,0.000639205,0.000008309702,0.0003479733,0.8629398,0.02602391,0.007673906,0.00006590607,0.09400892],"study_design_scores_gemma":[0.00576257,0.0002884837,0.006249724,0.00002380961,0.000042619,0.00003720386,0.0001133708,0.9866324,0.0002274546,0.0005060634,0.00001944196,0.00009682713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7899553,0.000155847,0.208536,0.0004386662,0.0005631578,0.0002456199,0.00001420757,0.00001151885,0.00007968103],"genre_scores_gemma":[0.9993033,0.00007473346,0.0002183453,0.0002020348,0.0001600371,0.000004349136,0.000006292599,0.00001254059,0.00001837708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.209348,"threshold_uncertainty_score":0.4003287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006212925102761416,"score_gpt":0.2422871468113351,"score_spread":0.2360742217085737,"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."}}