{"id":"W4386219993","doi":"10.3390/machines11090861","title":"Multiparameter Estimation-Based Sensorless Adaptive Direct Voltage MTPA Control for IPMSM Using Fuzzy Logic MRAS","year":2023,"lang":"en","type":"article","venue":"Machines","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"MRAS; Control theory (sociology); Estimator; Computer science; Adaptive system; Voltage; Vector control; Mathematics; Engineering; Induction motor; Control (management); Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002561095,0.0003573572,0.0004938086,0.000359761,0.0001398702,0.00006827986,0.0001802629,0.0001310964,0.00001955273],"category_scores_gemma":[0.0004424565,0.0003315952,0.0002030139,0.0004744029,0.0000418741,0.0001129947,0.00001264644,0.0001627273,0.00006302303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172866,"about_ca_system_score_gemma":0.00002554405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001182597,"about_ca_topic_score_gemma":0.0000350427,"domain_scores_codex":[0.9984697,0.00005519551,0.0003577849,0.0003381012,0.0002206505,0.0005586102],"domain_scores_gemma":[0.9980349,0.00138297,0.00008032659,0.0002993838,0.00009942683,0.0001030121],"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":[0.00009946275,0.00002083169,0.00115526,0.00008185497,0.0001385681,0.00002111967,0.00006376892,0.9717796,0.01616025,0.0002031397,0.0003849595,0.009891111],"study_design_scores_gemma":[0.002076822,0.0000552162,0.002485665,0.00003134271,0.00009273928,0.000002672133,0.000009957737,0.9920835,0.001794704,0.0007730826,0.0002205574,0.0003736929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5718752,0.0003794817,0.4218909,0.0001570715,0.0009654577,0.001601167,0.0002402114,0.002065988,0.0008244659],"genre_scores_gemma":[0.9892009,0.000002981842,0.0099181,0.0001751322,0.0002196185,0.0001680891,0.00004489783,0.0001118662,0.0001583373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4173258,"threshold_uncertainty_score":0.9999136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623598655291167,"score_gpt":0.2625672435216634,"score_spread":0.2363312569687518,"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."}}