{"id":"W2083800908","doi":"10.5539/cis.v1n1p20","title":"The Design of Switched Reluctance Motor Controller Based on DSP","year":2008,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Switched reluctance motor; Computer science; Waveform; Reluctance motor; Digital signal processing; Controller (irrigation); Power (physics); Control theory (sociology); Software; Control engineering; Computer hardware; Torque; Control (management); Telecommunications; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003360086,0.0004878778,0.0003976041,0.0004325692,0.0002791393,0.0004768976,0.0008908975,0.0004678457,0.003257738],"category_scores_gemma":[0.0004384466,0.0002686872,0.0002286697,0.0002044252,0.0001660223,0.0004900754,0.0001583204,0.0005317159,0.001158938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002114841,"about_ca_system_score_gemma":0.00053805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006379131,"about_ca_topic_score_gemma":0.0006941222,"domain_scores_codex":[0.9997135,0.00003268099,0.00002101797,0.00006214931,0.0001501102,0.00002048802],"domain_scores_gemma":[0.9998029,0.00003104389,0.00001731052,0.00001584101,0.0001189478,0.0000140377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004658555,0.0001435578,0.000705193,0.0009522044,0.0001023367,0.0004000854,0.0003097157,0.01973227,0.3406399,0.01626963,0.004862357,0.6154169],"study_design_scores_gemma":[0.0007589483,0.001845465,0.002688294,0.0001390105,0.0001748767,0.002486555,0.0001242326,0.5507502,0.2940638,0.006004471,0.1408232,0.000140863],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0125017,0.0004120238,0.9777573,0.00006947142,0.0001706669,0.0001709578,0.00004607081,0.00229536,0.00657641],"genre_scores_gemma":[0.3696687,0.0005860386,0.6142573,0.0001798976,0.0001205953,0.0004832275,0.0002582869,0.0001773465,0.01426863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003257738,"threshold_uncertainty_score":0.01089829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099632098123578,"score_gpt":0.195058406704446,"score_spread":0.1840620857232102,"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."}}