{"id":"W2139713399","doi":"10.1109/pes.2010.5589714","title":"FLC based tuned PI controller for wide speed range operation of IPMSM drive","year":2010,"lang":"en","type":"article","venue":"","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Control theory (sociology); Torque; Controller (irrigation); Electronic speed control; PID controller; Computer science; Range (aeronautics); Direct torque control; Motor drive; Voltage; Engineering; Control engineering; Physics; Induction motor; Control (management); Electrical engineering; Temperature control","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":[0.0001579493,0.0001473982,0.000297032,0.0001178366,0.00002871503,0.00002023015,0.0001139219,0.0001110991,0.0003328585],"category_scores_gemma":[0.0002214915,0.000131693,0.0001106662,0.00009005279,0.00002080746,0.0000948961,0.00000399559,0.000121313,0.00002511566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002054131,"about_ca_system_score_gemma":0.0000222434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003087511,"about_ca_topic_score_gemma":0.00009293079,"domain_scores_codex":[0.9992033,0.00001342687,0.0002815503,0.0001422956,0.0001327939,0.0002266475],"domain_scores_gemma":[0.9991791,0.0004051969,0.00003851267,0.0001921739,0.0001196136,0.00006544933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000130478,0.00002687417,0.0003993048,0.00002875087,0.00008358658,8.858835e-7,0.00005434657,0.0122868,0.981203,0.001066762,0.002172056,0.002547149],"study_design_scores_gemma":[0.005561507,0.00007267988,0.003303524,0.000005613103,0.00004542444,5.783743e-7,0.000008230403,0.8121077,0.1763571,0.00006481723,0.002299718,0.0001731043],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7872511,0.00008277938,0.2006074,0.0005274302,0.0008437011,0.001822288,0.00001960844,0.0003553494,0.008490252],"genre_scores_gemma":[0.9930835,0.000001783949,0.005913708,0.0001981884,0.0001388477,0.00004220652,0.000009303715,0.00003815473,0.0005743135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8048459,"threshold_uncertainty_score":0.5370285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006284472543624321,"score_gpt":0.2030833105904233,"score_spread":0.1967988380467989,"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."}}