{"id":"W4364861964","doi":"10.23977/jeis.2023.080104","title":"A Comparison Research on Sliding Mode Observation Methods for SPMSM in Sensorless Environment of Medium-to-High Speed","year":2023,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MRAS; Control theory (sociology); Observer (physics); Extended Kalman filter; Computer science; Rotor (electric); Kalman filter; Position (finance); Mode (computer interface); Control engineering; Control (management); Engineering; Vector control; Induction motor; Artificial intelligence; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00512938,0.00007827788,0.0002329255,0.001487982,0.00007905217,0.00006019629,0.0002191978,0.0000420784,0.000001451142],"category_scores_gemma":[0.0005575857,0.00007009583,0.00003052223,0.001474838,0.00003861262,0.001140752,0.00002256138,0.0002615488,0.000002713731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003408633,"about_ca_system_score_gemma":0.0001270435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005318421,"about_ca_topic_score_gemma":0.00000188177,"domain_scores_codex":[0.9982616,0.0000446683,0.0006517295,0.00007284062,0.0006064225,0.0003626822],"domain_scores_gemma":[0.9989467,0.000470497,0.0001872321,0.0001037288,0.0002036119,0.00008825199],"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":[0.0001057221,0.00001818991,0.0004672757,0.00004814738,0.00001183593,3.441914e-7,0.001546403,0.729355,0.2207688,0.01056742,0.000172386,0.03693848],"study_design_scores_gemma":[0.0005583399,0.0004209104,0.01517233,0.00004460122,0.000004185815,0.000002664851,0.0002593333,0.8806908,0.09869599,0.0007042442,0.003367104,0.00007952982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471554,0.00008784284,0.05189689,0.0003480259,0.0001258321,0.0002573167,0.000001582401,0.00001060194,0.000116503],"genre_scores_gemma":[0.9877735,0.0004111705,0.01173665,0.0000336494,0.00002840054,0.000004568135,0.000001443818,0.000005886867,0.000004711806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1513358,"threshold_uncertainty_score":0.2858425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09596815524251832,"score_gpt":0.4241905134538553,"score_spread":0.3282223582113369,"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."}}