{"id":"W4401113313","doi":"10.2139/ssrn.4910845","title":"High-Precision Speed Control of Induction Motors Using a Multipulse Voltage Source Converter and Advanced Observer-Based Strategies","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Observer (physics); Induction motor; Voltage; Control theory (sociology); Voltage source; Control (management); Computer science; Engineering; Physics; Electrical engineering; 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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001196463,0.0006683611,0.0009931552,0.0006827566,0.00009884554,0.0002164804,0.0003760127,0.0005481499,0.00001732984],"category_scores_gemma":[0.0001195715,0.0006474467,0.0003364152,0.0002657765,0.00009123346,0.000243113,0.0001035001,0.005356318,0.000004531514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001717577,"about_ca_system_score_gemma":0.001722051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000322777,"about_ca_topic_score_gemma":0.0001585556,"domain_scores_codex":[0.9960063,0.0001620738,0.0009461735,0.0005288845,0.0005372369,0.001819357],"domain_scores_gemma":[0.9985843,0.0002276533,0.0004122664,0.0004108833,0.0002101912,0.0001547099],"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":[0.0004025677,0.00005057735,0.0002299208,0.0004288196,0.001155497,0.00002008243,0.0001822551,0.7593516,0.1759314,0.00173453,0.00001039623,0.06050231],"study_design_scores_gemma":[0.004171014,0.0003160927,0.0003983281,0.0006885926,0.0005953089,0.0001603762,0.0007932534,0.9409536,0.005232098,0.0458512,0.00005878989,0.0007813893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7683069,0.009854868,0.2196842,0.00004421178,0.001317343,0.0005689895,0.0000211012,0.0001861478,0.00001624923],"genre_scores_gemma":[0.9976298,0.001059328,0.0005511085,0.00001623403,0.0004733416,0.00001139819,0.00001275568,0.0001769986,0.00006908609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2293229,"threshold_uncertainty_score":0.9995977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040728020963326,"score_gpt":0.2287231652990219,"score_spread":0.2183158850893887,"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."}}