{"id":"W2156787076","doi":"10.5539/mas.v6n6p7","title":"Design of Voltage Regulating Control Device of Improved PID Algorithm for the Vehicle AC Generator Based on DSP","year":2012,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PID controller; Digital signal processing; Computer science; Generator (circuit theory); Control theory (sociology); Voltage; Controller (irrigation); Debugging; Pulse-width modulation; Digital signal processor; Overvoltage; Algorithm; Power (physics); Control engineering; Control (management); Electrical engineering; Computer hardware; Engineering; Temperature control","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":[0.0004230368,0.0003498236,0.000367352,0.000534034,0.0002604793,0.0005391286,0.0009995211,0.0004324029,0.003328581],"category_scores_gemma":[0.0008665374,0.0002059583,0.0001787089,0.0002647273,0.000220248,0.0004648835,0.000181803,0.000382478,0.0006466619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003251446,"about_ca_system_score_gemma":0.000499407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005883852,"about_ca_topic_score_gemma":0.000482115,"domain_scores_codex":[0.9995744,0.00004782791,0.00002870237,0.0001048359,0.0002134239,0.00003080202],"domain_scores_gemma":[0.9996543,0.00006387531,0.00002447348,0.00003697694,0.000206988,0.00001345417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005620618,0.0001822721,0.002130268,0.0005770616,0.00006826316,0.0002551315,0.0003017754,0.01834053,0.4134147,0.01340725,0.004591286,0.5461695],"study_design_scores_gemma":[0.0004426067,0.001787146,0.005060151,0.00006880492,0.000141317,0.001628788,0.00007651158,0.4795861,0.4353435,0.002296434,0.07348263,0.00008587797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03231118,0.0003680556,0.956771,0.0001190991,0.000166876,0.0002262193,0.00005755373,0.002203763,0.007776286],"genre_scores_gemma":[0.6428365,0.0003499398,0.3434545,0.0001766879,0.0001242146,0.0003601952,0.0001869135,0.0001230087,0.01238798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003328581,"threshold_uncertainty_score":0.01113522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630056272939628,"score_gpt":0.2238040712420962,"score_spread":0.2075035085126999,"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."}}