{"id":"W2979371292","doi":"10.1109/ccece.2019.8861586","title":"PI Controller Tuning & Stability study of the Flyback Converter with an Energy Regenerative Snubber","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Western University","funders":"","keywords":"Snubber; Control theory (sociology); Flyback converter; Controller (irrigation); Flyback transformer; Stability (learning theory); PID controller; Computer science; Control engineering; Electrical engineering; Engineering; Boost converter; Voltage; Capacitor; Temperature control; Control (management); Biology","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":[0.0003728041,0.0004160596,0.0005158102,0.0003824875,0.0005933376,0.0006482942,0.0004646722,0.0005884432,0.002667812],"category_scores_gemma":[0.0009145514,0.000143421,0.0002560675,0.0002742813,0.0004704171,0.0003924582,0.0001901847,0.0004762192,0.0003759011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004710318,"about_ca_system_score_gemma":0.0003943645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003914798,"about_ca_topic_score_gemma":0.001707404,"domain_scores_codex":[0.9996485,0.00004795843,0.00001874322,0.00007039993,0.0001744758,0.00003998599],"domain_scores_gemma":[0.9995086,0.0002164048,0.00005484004,0.00005355629,0.0001480886,0.00001850048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002138529,0.0004759775,0.004586752,0.0007492654,0.0002187531,0.001132229,0.00118236,0.2707047,0.5399477,0.00925811,0.001832786,0.1677727],"study_design_scores_gemma":[0.00006134908,0.0004889652,0.003219077,0.00002833307,0.00003739822,0.0002564501,0.00009156673,0.9074957,0.08578558,0.0009018793,0.001608291,0.00002543342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7561044,0.001281267,0.210167,0.0003208505,0.0001220977,0.0002005548,0.0001570008,0.001742769,0.02990403],"genre_scores_gemma":[0.9947232,0.00006414035,0.003717374,0.0000131582,0.000004208523,0.00002187644,0.00001514834,0.00001922809,0.001421661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003914798,"threshold_uncertainty_score":0.008924723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212117758458666,"score_gpt":0.2046731308414565,"score_spread":0.1925519532568698,"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."}}