{"id":"W2573522018","doi":"10.1109/tmag.2017.2666089","title":"Torque Ripple Minimization for Interior PMSM with Consideration of Magnetic Saturation Incorporating Online Parameter Identification","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Inductance; Ripple; Torque; Torque ripple; Minification; Computer science; Saturation (graph theory); Magnet; Direct torque control; Physics; Mathematics; Induction motor; Power (physics); Voltage","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004553834,0.0007220801,0.0007391192,0.0005137767,0.0003005914,0.0005484847,0.0004378012,0.0003817498,0.0007324681],"category_scores_gemma":[0.0008613458,0.0002613637,0.0004265542,0.0003318097,0.0003518239,0.0006081657,0.000421274,0.0004841187,0.00030816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002932892,"about_ca_system_score_gemma":0.0004574585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001192763,"about_ca_topic_score_gemma":0.001305305,"domain_scores_codex":[0.9997552,0.00005133974,0.0000170827,0.00003660327,0.0001171869,0.00002266597],"domain_scores_gemma":[0.9996619,0.000127865,0.00006668334,0.00004518376,0.00009004608,0.000008182201],"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":[0.0002383549,0.00009685619,0.001069481,0.000729389,0.00005776436,0.0001588792,0.0002094895,0.7619489,0.05805473,0.007112762,0.001044437,0.1692789],"study_design_scores_gemma":[0.000004000673,0.00005315776,0.0002038313,0.00001227826,0.000009036531,0.00002862367,0.00001254916,0.9935338,0.00478709,0.0008102998,0.0005397834,0.000005526565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01233519,0.0001967742,0.9848601,0.00004413628,0.00001359543,0.00002076861,0.00001762708,0.0002609058,0.002250943],"genre_scores_gemma":[0.8713323,0.0003394369,0.1258307,0.0000449938,0.00002771863,0.00009506111,0.00009060818,0.0001355334,0.002103657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001192763,"threshold_uncertainty_score":0.002450407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170630676205556,"score_gpt":0.2364824708991367,"score_spread":0.2194194032785811,"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."}}