{"id":"W4252419671","doi":"10.1109/ias.2006.256771","title":"On-Line Parameter Estimation Based Speed Control of PM AC Motor Drive in Flux Weakening Region","year":2006,"lang":"en","type":"article","venue":"Conference record","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Control theory (sociology); Backstepping; Electronic speed control; Robustness (evolution); Torque; Controller (irrigation); Computer science; Direct torque control; Synchronous motor; Robust control; Control engineering; Adaptive control; Voltage; Control system; Engineering; Induction motor; Control (management); Physics","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":[0.0002307721,0.0003922581,0.0002569557,0.0001844798,0.0001533654,0.000386561,0.0003956063,0.0002718924,0.0007099173],"category_scores_gemma":[0.0009221494,0.0001133956,0.0001058228,0.00009698418,0.0002428896,0.000285546,0.0002069524,0.0003032509,0.0001901334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001302333,"about_ca_system_score_gemma":0.0001455537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000724841,"about_ca_topic_score_gemma":0.0008302998,"domain_scores_codex":[0.9998581,0.00002867631,0.000009772315,0.0000299678,0.00006136721,0.00001203147],"domain_scores_gemma":[0.9996487,0.0001390866,0.00007017259,0.00003694843,0.00009501824,0.00001008169],"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":[0.0006210001,0.0001803472,0.001820682,0.0005446225,0.00005631784,0.0002300538,0.0004079347,0.2535742,0.2752257,0.002728718,0.001383366,0.463227],"study_design_scores_gemma":[0.00005389846,0.0005180409,0.002901962,0.00002162199,0.00002444435,0.0001496627,0.00003304426,0.9270782,0.0652238,0.0007316282,0.003242561,0.00002103653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1549384,0.0003623868,0.8389277,0.00008845922,0.00005854223,0.00008325053,0.00002856949,0.0010322,0.004480436],"genre_scores_gemma":[0.9800919,0.00008564726,0.01898571,0.00001476229,0.00001256795,0.00002820538,0.00001824562,0.00002000454,0.0007429007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000724841,"threshold_uncertainty_score":0.002374947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881972229786485,"score_gpt":0.2262982525548659,"score_spread":0.207478530257001,"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."}}