{"id":"W4388265603","doi":"10.3934/electreng.2023019","title":"Sliding mode control rotor flux MRAS based speed sensorless induction motor traction drive control for electric vehicles","year":2023,"lang":"en","type":"article","venue":"AIMS Electronics and Electrical Engineering","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"MRAS; Control theory (sociology); Estimator; Vector control; Controller (irrigation); Traction (geology); Torque; Computer science; Lyapunov function; Electronic speed control; Engineering; Rotor (electric); Control engineering; Induction motor; Voltage; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002841414,0.0002743341,0.0002904911,0.0001906213,0.000172148,0.000430289,0.0004844358,0.0002630316,0.001920369],"category_scores_gemma":[0.0004061712,0.0001026086,0.00022383,0.0001315692,0.0001839645,0.0002228745,0.0001972375,0.0003072239,0.000353221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001727945,"about_ca_system_score_gemma":0.0002272517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001768486,"about_ca_topic_score_gemma":0.001542088,"domain_scores_codex":[0.9998467,0.00003151081,0.00001331356,0.00003011684,0.00006587716,0.00001235479],"domain_scores_gemma":[0.999844,0.00003664792,0.00002948736,0.0000153804,0.00006960697,0.000004905888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007915475,0.0002988268,0.001695834,0.0005509238,0.000105239,0.0002947305,0.000279594,0.3645781,0.09406566,0.01021275,0.005176566,0.5219504],"study_design_scores_gemma":[0.00003274195,0.0004580106,0.0008859775,0.00001616784,0.00001917669,0.00004798653,0.00002086018,0.9847947,0.008973688,0.0005313133,0.004209999,0.000009399622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0801513,0.0009542649,0.9056428,0.0001894199,0.0003123501,0.00009193264,0.00005734964,0.001490675,0.01110984],"genre_scores_gemma":[0.976325,0.0002450703,0.01854348,0.0000338493,0.00003276834,0.00006772589,0.00005911632,0.0000152613,0.004677539],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001920369,"threshold_uncertainty_score":0.006424308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007468007669343396,"score_gpt":0.2093570281231986,"score_spread":0.2018890204538553,"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."}}