{"id":"W2763173523","doi":"10.1109/tii.2017.2759812","title":"Maximum Torque Per Ampere Control for IPMSM Using Gradient Descent Algorithm Based on Measured Speed Harmonics","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Harmonics; Harmonic; Torque; Ampere; Harmonic analysis; Gradient descent; Mathematics; Voltage; Computer science; Engineering; Physics; Mathematical analysis; Control (management); Acoustics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003905982,0.0004277431,0.0005178703,0.0003160416,0.0007246187,0.000316762,0.0004081058,0.000448872,0.00003356129],"category_scores_gemma":[0.00007130897,0.0004287954,0.0003201909,0.000110342,0.00008012572,0.0004161887,0.000001068394,0.0007581415,0.0000264582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006990886,"about_ca_system_score_gemma":0.0001630582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005169089,"about_ca_topic_score_gemma":0.00001303789,"domain_scores_codex":[0.9978778,0.00003929241,0.0007985609,0.0001689333,0.0004936029,0.0006218471],"domain_scores_gemma":[0.998312,0.0002498447,0.0002576888,0.0007522423,0.0001819728,0.0002462407],"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":[0.0002895354,0.0001427845,0.000008219095,0.00005046768,0.0002725244,0.000003144732,0.0002478564,0.9023026,0.0009041861,0.00001551716,0.00072723,0.09503588],"study_design_scores_gemma":[0.008394423,0.0003058101,0.00001446759,0.0001138767,0.0002204792,0.000005779082,0.00009074618,0.9728697,0.01568591,0.00001604933,0.001843713,0.0004390753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03805544,0.00001132551,0.9550248,0.0001508013,0.004070202,0.001744358,0.0003349259,0.0003418305,0.0002662485],"genre_scores_gemma":[0.9922608,0.00001121829,0.006939889,0.0002013132,0.0003859725,0.00007431764,0.000008765706,0.00008287047,0.00003484232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9542054,"threshold_uncertainty_score":0.9998164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06391679935156734,"score_gpt":0.2559152356941481,"score_spread":0.1919984363425807,"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."}}