{"id":"W1998072992","doi":"10.1109/tmag.2015.2413376","title":"Real-Time FPGA-Based Analytical Space Harmonic Model of Permanent Magnet Machines for Hardware-in-the-Loop Simulation","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field-programmable gate array; Emulation; Hardware-in-the-loop simulation; Computer science; Superposition principle; Realization (probability); Harmonic; Transient (computer programming); Software; Magnet; Embedded system; Computer hardware; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001480951,0.0004151327,0.0003287685,0.000196399,0.0001963443,0.000416225,0.0005535331,0.0003807984,0.00335205],"category_scores_gemma":[0.0003691958,0.0001499971,0.0002345662,0.000130279,0.0002294107,0.0004006859,0.0001772536,0.0003525793,0.0005878709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00031568,"about_ca_system_score_gemma":0.0003467074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001322141,"about_ca_topic_score_gemma":0.001374363,"domain_scores_codex":[0.9998946,0.00002589864,0.00000441892,0.00001287116,0.00004981014,0.00001240485],"domain_scores_gemma":[0.9998877,0.00004426775,0.00001328057,0.00002100693,0.00002844463,0.000005313004],"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":[0.0001082612,0.00004337123,0.0005208985,0.0001270499,0.00001803577,0.0001087146,0.00008560954,0.9448086,0.01698614,0.009305851,0.001318545,0.02656882],"study_design_scores_gemma":[0.000006226486,0.00003296064,0.00008451551,0.000003645376,0.000003238915,0.0000226508,0.000006628977,0.9941766,0.003424777,0.000535491,0.001700432,0.000002763603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05084434,0.0001641179,0.9344169,0.0001214975,0.00007362395,0.00006912195,0.000120383,0.002016481,0.01217359],"genre_scores_gemma":[0.9173355,0.0001478942,0.07655086,0.00003342657,0.00001678189,0.0001338163,0.0001036903,0.0001195215,0.005558635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00335205,"threshold_uncertainty_score":0.01121372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352075546661545,"score_gpt":0.2693966410349309,"score_spread":0.2358758855683154,"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."}}