{"id":"W2281959499","doi":"10.15866/iremos.v6i1.2311","title":"A New State-Space Nonlinear Control Approach of a Doubly Fed Induction Motor Using Variable Gain PI and Fuzzy Logic Controllers","year":2013,"lang":"en","type":"article","venue":"International Review on Modelling and Simulations (IREMOS)","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Control theory (sociology); Decoupling (probability); Fuzzy logic; Induction motor; Multivariable calculus; Nonlinear system; State variable; Vector control; Control engineering; Rotating reference frame; Engineering; Computer science; Control (management); Physics; Voltage; Artificial intelligence","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":[0.0002128941,0.0004227539,0.0003167723,0.0002197704,0.0002383735,0.0004948989,0.0005443188,0.0004530103,0.0009603799],"category_scores_gemma":[0.0002665035,0.0001399573,0.0003829189,0.0002177694,0.0002886984,0.0004725012,0.000238016,0.0006409242,0.0002218638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002659611,"about_ca_system_score_gemma":0.0003486483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001921152,"about_ca_topic_score_gemma":0.002214498,"domain_scores_codex":[0.9998722,0.00002357589,0.000008234073,0.00002784261,0.00006132519,0.000006824679],"domain_scores_gemma":[0.9999428,0.00001551023,0.000008802528,0.000007198487,0.00002269285,0.000003014317],"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":[0.000145011,0.000115653,0.0007978285,0.000613469,0.0001126088,0.0003750075,0.0003954269,0.4345093,0.1150371,0.07569504,0.001366188,0.3708374],"study_design_scores_gemma":[0.00001698957,0.0001448451,0.0003151545,0.0000220453,0.00003171521,0.00009631158,0.00001641092,0.9811288,0.006989521,0.004349192,0.00687575,0.00001323152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006199314,0.0002423819,0.9900734,0.00005446605,0.00004575261,0.00002573018,0.00001121168,0.0001360353,0.003211612],"genre_scores_gemma":[0.705094,0.0008781853,0.2869355,0.00008081428,0.00007572406,0.0001579279,0.00007720941,0.00002458766,0.006676054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001921152,"threshold_uncertainty_score":0.003820002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03783457714528757,"score_gpt":0.257295357177503,"score_spread":0.2194607800322154,"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."}}