{"id":"W4403462359","doi":"10.18618/rep.e202442","title":"Enhancing SRM Performance through Multi-Platform Optimization and FPGA-Based Real-Time Simulation","year":2024,"lang":"en","type":"article","venue":"Eletrônica de Potência","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Calgary","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Torque; Emulation; Computer science; Hardware-in-the-loop simulation; Torque ripple; Real-time simulation; Test bench; Python (programming language); Simulation; Field-programmable gate array; Control theory (sociology); Engineering; Direct torque control; Embedded system","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":[0.0003795412,0.0005482181,0.0003134676,0.0002862519,0.0001798542,0.000360751,0.000498857,0.0002337439,0.002219624],"category_scores_gemma":[0.0006189036,0.0001446309,0.0002689883,0.0001516347,0.0001962738,0.0003208643,0.0002863418,0.0002864474,0.0003628276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002370124,"about_ca_system_score_gemma":0.0004378767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381039,"about_ca_topic_score_gemma":0.001521731,"domain_scores_codex":[0.9998326,0.00004467682,0.000007981518,0.00001931002,0.00007460642,0.00002076873],"domain_scores_gemma":[0.999808,0.00006675404,0.00003310293,0.00003414816,0.00004957343,0.000008421125],"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":[0.00009230271,0.00005302759,0.0008044557,0.0001709852,0.00002132127,0.00007513459,0.00006401126,0.915598,0.02166423,0.003893694,0.0005071292,0.05705573],"study_design_scores_gemma":[0.000009730037,0.00005673287,0.0001908474,0.000007039069,0.000005712896,0.00001933144,0.000009094024,0.990231,0.007930032,0.0003534472,0.001182684,0.000004342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08104295,0.000157019,0.906418,0.00007856311,0.00003925615,0.00007241218,0.00004760969,0.0019996,0.01014467],"genre_scores_gemma":[0.8287382,0.00009442118,0.1692317,0.00001525698,0.000006671717,0.0000999381,0.00005615153,0.000148073,0.001609559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002219624,"threshold_uncertainty_score":0.007425368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118897825606022,"score_gpt":0.2340776409314924,"score_spread":0.2228886626754322,"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."}}