{"id":"W2570350831","doi":"10.1109/iecon.2016.7793156","title":"Traction inverter performance testing using mathematical and real-time controller-in-the-loop Permanent Magnet Synchronous Motor emulator","year":2016,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Hardware-in-the-loop simulation; Computer science; Real-time simulation; MATLAB; Controller (irrigation); Co-simulation; Digital signal processor; Control engineering; Motor controller; Simulation; Digital signal processing; Embedded system; Computer hardware; 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":[0.0003402483,0.000349168,0.0002644871,0.0005533691,0.000226532,0.0004177,0.0007007344,0.0004056418,0.003695561],"category_scores_gemma":[0.001268459,0.0001248863,0.0002903656,0.0003567362,0.0002032507,0.0006170383,0.0002434574,0.0002938602,0.0004659083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002872775,"about_ca_system_score_gemma":0.0002873479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045723,"about_ca_topic_score_gemma":0.0007849097,"domain_scores_codex":[0.9996752,0.00004607088,0.00002967708,0.00003786635,0.0001749408,0.00003636279],"domain_scores_gemma":[0.9994662,0.000177652,0.00004883539,0.0001031444,0.0001832864,0.00002084939],"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":[0.00156914,0.001689467,0.02160113,0.001249142,0.0001575807,0.001120402,0.001120956,0.3583768,0.3688791,0.009480417,0.005193433,0.2295625],"study_design_scores_gemma":[0.0001105297,0.002035638,0.01008115,0.00002359732,0.00004715476,0.0003149128,0.0002249115,0.7287701,0.2527839,0.0009467864,0.004610609,0.00005072813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8628584,0.0001424202,0.1146627,0.0001749263,0.00009321966,0.00012459,0.0003886702,0.0029892,0.01856595],"genre_scores_gemma":[0.9917957,0.00005126373,0.006378627,0.000009768788,0.000003044518,0.00002702414,0.0001275191,0.00004605193,0.001561014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003695561,"threshold_uncertainty_score":0.01236284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491242900064101,"score_gpt":0.2126708691367566,"score_spread":0.1977584401361156,"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."}}