{"id":"W2125813587","doi":"10.1017/s0001924000006989","title":"A hybrid fuzzy logic proportional-integral-derivative and conventional on-off controller for morphing wing actuation using shape memory alloy Part 2: Controller implementation and validation","year":2012,"lang":"en","type":"article","venue":"The Aeronautical Journal","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; École de Technologie Supérieure","funders":"Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"PID controller; Actuator; Control theory (sociology); Computer science; Fuzzy logic; Test bench; Data acquisition; Controller (irrigation); Wind tunnel; Shape-memory alloy; MATLAB; Control engineering; Engineering; Temperature control; Embedded system","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":[0.0004312116,0.0003167883,0.0002749754,0.0002391472,0.0002100431,0.0005309661,0.0009037197,0.0004515956,0.001762183],"category_scores_gemma":[0.0005594747,0.0001627162,0.0002554676,0.00009078456,0.0002560416,0.0002195567,0.000253545,0.0003005046,0.000220559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003189931,"about_ca_system_score_gemma":0.000304937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894727,"about_ca_topic_score_gemma":0.00160283,"domain_scores_codex":[0.9997049,0.00002981317,0.0000160107,0.00004925796,0.0001753014,0.0000247854],"domain_scores_gemma":[0.9997347,0.00008019459,0.00002765513,0.00004243906,0.0001026334,0.00001238086],"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":[0.001035895,0.0004219224,0.00203579,0.0006365646,0.0001097851,0.000419965,0.0002877129,0.2273105,0.530179,0.004027679,0.001129719,0.2324054],"study_design_scores_gemma":[0.0001493054,0.0008924865,0.002080682,0.00002718374,0.00005085639,0.0001497121,0.00002700636,0.8300881,0.1616431,0.0004007997,0.004454284,0.00003649533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3702161,0.0003250251,0.6155407,0.0001077542,0.0002074811,0.0003421102,0.000098444,0.002868084,0.0102942],"genre_scores_gemma":[0.950326,0.00004113955,0.0471366,0.00003257511,0.00000622426,0.0000992403,0.00002700124,0.00001712368,0.002314114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001894727,"threshold_uncertainty_score":0.005895078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186361858211562,"score_gpt":0.2942646546717574,"score_spread":0.2524010360896418,"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."}}