{"id":"W3195208413","doi":"10.3390/su13179502","title":"Design, Modeling, and Differential Flatness Based Control of Permanent Magnet-Assisted Synchronous Reluctance Motor for e-Vehicle Applications","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Agence Nationale de la Recherche; King Mongkut's University of Technology North Bangkok; Université de Lorraine","keywords":"DSPACE; Control theory (sociology); Magnetic reluctance; Flatness (cosmology); Torque; Control engineering; Engineering; Test bench; Nonlinear system; Magnet; Computer science; Control (management); Mechanical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001674281,0.0001402981,0.0002883701,0.00005544322,0.00008467181,0.00002272849,0.00008967799,0.00007890892,0.00003055461],"category_scores_gemma":[0.00009502733,0.0001453836,0.0001070709,0.000215268,0.00004685975,0.00004620921,0.000009343937,0.00008289175,2.729954e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002599958,"about_ca_system_score_gemma":0.0001542493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001807366,"about_ca_topic_score_gemma":0.000004869341,"domain_scores_codex":[0.9990158,0.00005936069,0.000290985,0.0002707343,0.0001141386,0.0002489626],"domain_scores_gemma":[0.9988071,0.0001587373,0.00003800522,0.0003344028,0.0005840886,0.00007769449],"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":[0.0006351585,0.001162305,0.00427312,0.008008212,0.0005661238,0.00002338088,0.0004494608,0.4166667,0.3640952,0.003682482,0.0001233713,0.2003145],"study_design_scores_gemma":[0.0008460112,0.00005582497,0.001471729,0.000006819842,0.000114064,0.000001129197,0.00003494481,0.9910706,0.004122786,0.002077341,0.00005481947,0.0001439188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1601483,0.0006596671,0.8381723,0.0001052878,0.00001685282,0.0007786422,0.000023337,0.0000797001,0.00001585767],"genre_scores_gemma":[0.9938922,0.00001725891,0.00541652,0.0000121552,0.00003304655,0.0005108928,0.00001829236,0.00002030153,0.00007931097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8337439,"threshold_uncertainty_score":0.592857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007182378845968774,"score_gpt":0.2189240646739713,"score_spread":0.2117416858280025,"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."}}