{"id":"W2770906726","doi":"10.23919/epe17ecceeurope.2017.8099172","title":"A hybrid designed digital dual-loop control of high power ground power unit (GPU)","year":2017,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Feed forward; Computer science; Dual loop; Inverter; Electronic engineering; Inductor; Control theory (sociology); Digital control; Transformer; Total harmonic distortion; Cascade; Controller (irrigation); Voltage; Engineering; Loop (graph theory); Electrical engineering; Control engineering","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":[0.00009853319,0.0002701173,0.0002307605,0.0001781943,0.0002172441,0.0004060626,0.0006994758,0.0002622011,0.0022803],"category_scores_gemma":[0.0001836317,0.000108072,0.0001370482,0.0001763154,0.0001887278,0.0002536229,0.0002458141,0.0002566727,0.0003122232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000269783,"about_ca_system_score_gemma":0.00024953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051563,"about_ca_topic_score_gemma":0.001757439,"domain_scores_codex":[0.9998689,0.00001215998,0.000005142916,0.00003984932,0.00006119593,0.00001286815],"domain_scores_gemma":[0.9999157,0.00001359035,0.00001615138,0.00001552526,0.000030819,0.000008233458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007868636,0.0002977798,0.002772709,0.000371709,0.00007945055,0.0004566773,0.0003353822,0.08262916,0.4926071,0.009963892,0.004156423,0.4055429],"study_design_scores_gemma":[0.0001737362,0.001467451,0.002729476,0.00002378191,0.00006334758,0.0004728008,0.00004711006,0.8396035,0.1320064,0.001810601,0.02156208,0.00003977391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1822798,0.0001822695,0.7991087,0.0001089019,0.0001319917,0.0001485703,0.0000916928,0.002592847,0.01535532],"genre_scores_gemma":[0.9421427,0.00004342413,0.05403926,0.00004976199,0.00001918527,0.00005926229,0.00005231535,0.00002587785,0.003568191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0022803,"threshold_uncertainty_score":0.007628322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006113324457736708,"score_gpt":0.1884136632951961,"score_spread":0.1823003388374594,"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."}}