{"id":"W4249750642","doi":"10.32920/ryerson.14635680.v1","title":"Controller Tuning and Robustness Testing of Attitude Control Laws for a CubeSat Mission","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Spacecraft; Attitude control; Robustness (evolution); Angular velocity; Linear-quadratic regulator; Kinematics; Block diagram; Angular acceleration; Computer science; Simulation; Engineering; Control engineering; Aerospace engineering; Physics; Control (management)","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":[0.001426826,0.0006935879,0.0002788789,0.000407873,0.0003560983,0.0003987945,0.000474012,0.0005819455,0.001277108],"category_scores_gemma":[0.0052065,0.0002266512,0.0003983443,0.0001563065,0.0004051746,0.0003894887,0.0005038643,0.000614147,0.0002081441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004001384,"about_ca_system_score_gemma":0.0004218481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003982756,"about_ca_topic_score_gemma":0.001979435,"domain_scores_codex":[0.9994698,0.0001191843,0.00003946024,0.00008613263,0.0002134002,0.00007210411],"domain_scores_gemma":[0.9976166,0.001370715,0.0001919647,0.0002829043,0.0004839847,0.00005376976],"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":[0.0007369512,0.0003509153,0.005473643,0.000320536,0.000170514,0.0001777964,0.000372982,0.8664511,0.06915959,0.001904077,0.001166667,0.05371518],"study_design_scores_gemma":[0.00007835709,0.0009426334,0.003627345,0.00002693343,0.00002534902,0.00006136726,0.00007804148,0.9353002,0.05827002,0.0004586403,0.001106442,0.00002484588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8322567,0.0002356946,0.1589682,0.0001659097,0.00009024105,0.0002411477,0.0002898112,0.002819659,0.00493258],"genre_scores_gemma":[0.9838002,0.00002860581,0.01541823,0.00003351529,0.00000425093,0.0000746091,0.0001534806,0.00007608658,0.0004109814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003982756,"threshold_uncertainty_score":0.007919133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02900165120240717,"score_gpt":0.2420640019736031,"score_spread":0.2130623507711959,"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."}}