{"id":"W2745730181","doi":"10.1109/cefc.2016.7816384","title":"Torque ripple minimization for interior PMSM with consideration of magnetic saturation incorporating on-line parameter identification","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Control theory (sociology); Inductance; Torque; Minification; Ripple; Torque ripple; Voltage; Saturation (graph theory); Computer science; Synchronous motor; Direct torque control; Engineering; Physics; Mathematics; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003182941,0.0005879937,0.0005893337,0.0003779728,0.0002610019,0.0004802911,0.0004017485,0.0002815443,0.001168456],"category_scores_gemma":[0.000465946,0.00021504,0.0003716247,0.0003212834,0.0002314658,0.0004065012,0.0003213845,0.0003914747,0.000383438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307279,"about_ca_system_score_gemma":0.000386543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000660287,"about_ca_topic_score_gemma":0.0008717825,"domain_scores_codex":[0.999827,0.00003573311,0.00001395035,0.00002483336,0.00008280093,0.00001565886],"domain_scores_gemma":[0.9998336,0.0000470342,0.00003425468,0.00002061459,0.00005860523,0.000005869917],"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":[0.0002986507,0.0001236347,0.0009554089,0.0009219202,0.00007842063,0.0001883992,0.0002607169,0.4546384,0.147683,0.01123102,0.002062042,0.3815583],"study_design_scores_gemma":[0.00001064967,0.0001006009,0.0002835593,0.00001439935,0.00001517538,0.0000477692,0.00001660756,0.9852823,0.01169934,0.001157407,0.001364551,0.00000765305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009490927,0.0001813032,0.9877887,0.00003264471,0.0000163928,0.00002406515,0.00001628269,0.0001822115,0.002267506],"genre_scores_gemma":[0.7399696,0.0004518007,0.2565645,0.00004386047,0.00004890265,0.0001167649,0.00009738595,0.0001209081,0.002586352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001168456,"threshold_uncertainty_score":0.003908873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522178100634397,"score_gpt":0.22174163043395,"score_spread":0.206519849427606,"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."}}