{"id":"W3023930503","doi":"10.1109/tec.2020.2992487","title":"Speed Harmonic Based Decoupled Torque Ripple Minimization Control for Permanent Magnet Synchronous Machine With Minimized Loss","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Concordia University","funders":"","keywords":"Control theory (sociology); Torque ripple; Torque; Ripple; Harmonic; Controller (irrigation); Harmonic analysis; Machine control; Minification; Computer science; Direct torque control; Engineering; Physics; Control engineering; Voltage; Control (management); Electronic engineering; Induction motor","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":[0.00005111983,0.0002583359,0.0003266647,0.0001562048,0.0001346978,0.00002979088,0.0001272402,0.0001114859,0.0005563305],"category_scores_gemma":[0.000002898574,0.0002420433,0.0001841691,0.0003276715,0.0000283626,0.0001012327,3.808588e-7,0.0001239027,0.00001501586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428331,"about_ca_system_score_gemma":0.00005314664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008074202,"about_ca_topic_score_gemma":0.00004431764,"domain_scores_codex":[0.9989305,0.00004499703,0.0002482051,0.0003028296,0.0002007784,0.0002727278],"domain_scores_gemma":[0.9993769,0.0001413111,0.00005195194,0.0001743134,0.00007151845,0.0001839863],"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":[0.00144079,0.0001299048,0.00001505151,0.0001183684,0.0002972006,0.00001911798,0.00008383279,0.9647211,0.02435029,0.000009693393,0.0009553301,0.007859279],"study_design_scores_gemma":[0.006033639,0.0004626279,0.000007486131,0.00001946899,0.0003132923,0.000003102479,0.00001087583,0.9157787,0.07546618,0.000001842772,0.00163905,0.000263764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01434861,0.0001145547,0.9841387,0.0005227578,0.0001613325,0.0002847495,0.00008571555,0.000291727,0.00005187868],"genre_scores_gemma":[0.9962637,0.0001245013,0.002536786,0.0006272498,0.00005826799,0.00006296757,0.0000918218,0.00005879729,0.0001759409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9819151,"threshold_uncertainty_score":0.987024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006660611341596798,"score_gpt":0.1793565114469494,"score_spread":0.1726959001053526,"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."}}