{"id":"W2127847220","doi":"10.1109/iemdc.1999.769046","title":"Adaptive servo drive using a permanent-magnet synchronous motor and the TMS320C30","year":2003,"lang":"en","type":"article","venue":"","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Moncton","funders":"","keywords":"Control theory (sociology); Servomotor; Stator; Servo drive; Synchronous motor; Adaptive control; Control engineering; Computer science; Permanent magnet synchronous motor; Machine control; Servo; Magnet; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.000136495,0.0001877878,0.0002303799,0.00006678169,0.00008541851,0.00004488206,0.00009792511,0.00006439504,0.0001505701],"category_scores_gemma":[0.00004822985,0.0001331413,0.00005808456,0.0001305648,0.00008010934,0.0000983803,0.0000139168,0.0001542424,0.00002192503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008639072,"about_ca_system_score_gemma":0.00002014788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001060345,"about_ca_topic_score_gemma":0.00003137106,"domain_scores_codex":[0.9991372,0.00006991297,0.000173373,0.0001705141,0.0001346814,0.0003143522],"domain_scores_gemma":[0.9994588,0.0001959276,0.00002585421,0.0002077702,0.00003358565,0.00007805886],"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":[0.001337202,0.0003655965,0.005039923,0.0005010306,0.004213735,0.000548192,0.01606178,0.3670378,0.1980444,0.3493328,0.00860316,0.04891445],"study_design_scores_gemma":[0.00341915,0.00009476108,0.001049467,0.00002007503,0.0001201426,0.0001395609,0.000477975,0.9898298,0.002230399,0.0005604826,0.001637094,0.0004210433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956852,0.002900569,0.01000549,0.000072634,0.0002494642,0.0006945799,0.000004237346,0.000283236,0.02893776],"genre_scores_gemma":[0.9972586,0.00006179421,0.002089915,0.0001302726,0.00006398623,0.00001971875,5.669322e-7,0.00003596429,0.0003391643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6227921,"threshold_uncertainty_score":0.5429344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007319423962705415,"score_gpt":0.1835311490335863,"score_spread":0.1762117250708809,"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."}}