{"id":"W2889217895","doi":"10.3390/en11092238","title":"Adaptive Sliding Mode Speed Control for Wind Energy Experimental System","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Wind Turbine Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Control theory (sociology); Sliding mode control; Robustness (evolution); Electronic speed control; Wind speed; Parametric statistics; Variable speed wind turbine; Estimator; Lyapunov stability; Lyapunov function; Turbine; Variable structure control; Wind power; Torque; Robust control; Computer science; Engineering; Control system; Permanent magnet synchronous generator; Mathematics; Voltage; Control (management); Physics; Nonlinear 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":[0.0004274933,0.0003892206,0.0003088385,0.0002283901,0.0002907523,0.0004932802,0.0004373928,0.0003830664,0.001220991],"category_scores_gemma":[0.0006725403,0.0001343074,0.0002300119,0.0001837863,0.0003247586,0.0003700312,0.0002897813,0.0003943869,0.0001519748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002243578,"about_ca_system_score_gemma":0.0002960751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001452833,"about_ca_topic_score_gemma":0.001235623,"domain_scores_codex":[0.9997519,0.00004818199,0.0000236316,0.0000591403,0.00009911951,0.00001808066],"domain_scores_gemma":[0.9997804,0.00006567307,0.00003520547,0.00003005597,0.00007970851,0.000009058342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008170521,0.0002376726,0.003121902,0.0007712682,0.0001051138,0.0003666154,0.0005326459,0.4293272,0.1800922,0.01647127,0.002460371,0.3656967],"study_design_scores_gemma":[0.0000513007,0.0003493195,0.001138675,0.00001401979,0.00001527378,0.00005310562,0.00002362466,0.9799764,0.0146065,0.0008755111,0.002881988,0.00001419876],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07814895,0.0004771448,0.9158876,0.0001269831,0.0001647929,0.0001136263,0.00003834795,0.0008160865,0.004226602],"genre_scores_gemma":[0.9653805,0.0001408005,0.03290075,0.00002547438,0.00002361659,0.0001113743,0.00004559316,0.000014175,0.001357767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001452833,"threshold_uncertainty_score":0.004084647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064384099974719,"score_gpt":0.2150073771909481,"score_spread":0.204363536191201,"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."}}