{"id":"W1585977362","doi":"10.1109/iemdc.2007.382687","title":"Development of a Nonlinear Speed Controller of IPMSM Drive Incorporating MTPA with Mechanical Parameter Estimation","year":2007,"lang":"en","type":"article","venue":"","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Control theory (sociology); Backstepping; Robustness (evolution); Torque; Electronic speed control; Controller (irrigation); Robust control; Nonlinear system; Control engineering; Computer science; Engineering; Adaptive control; Control system; Control (management); Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003427359,0.0001460761,0.0003478804,0.0001489009,0.00001704786,0.00000606017,0.00008461846,0.00007797364,0.00002034447],"category_scores_gemma":[0.0000996652,0.0001161388,0.00004126579,0.0002256507,0.00002406857,0.00006959787,0.00001144141,0.0001034814,0.000005927993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005932782,"about_ca_system_score_gemma":0.00003853512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008820193,"about_ca_topic_score_gemma":0.00004384106,"domain_scores_codex":[0.9988071,0.00001084759,0.000586635,0.0001250881,0.0002668079,0.0002034634],"domain_scores_gemma":[0.9992976,0.00025539,0.0001447869,0.0001230972,0.0001179363,0.00006121284],"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":[0.0007003075,0.0002285113,0.001747819,0.00021289,0.0008322913,0.00002210572,0.001093628,0.09581316,0.7641438,0.005480239,0.00004495757,0.1296804],"study_design_scores_gemma":[0.001565069,0.00008899307,0.001496732,0.00004261901,0.00002656087,0.000003891993,0.00005673605,0.7034883,0.2929558,0.0001030231,0.00002435117,0.0001478909],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5861393,0.00001072049,0.4126879,0.00000600954,0.00002644487,0.0002137678,6.68992e-7,0.00006251912,0.0008527467],"genre_scores_gemma":[0.6071016,2.755663e-7,0.39284,0.000009855538,0.00001304241,0.000002230281,0.000002533562,0.00001510194,0.00001532666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6076751,"threshold_uncertainty_score":0.4736004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013498524171984,"score_gpt":0.2194750639221923,"score_spread":0.2093400786804724,"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."}}