{"id":"W4312461282","doi":"10.1109/tie.2022.3229379","title":"Torque-Ripple Reduction of Permanent Magnet Synchronous Machine Drives Based on Novel Speed Harmonic Control at Low-Speed Operation","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Torque ripple; Harmonics; Harmonic; Torque; Electronic speed control; Stall torque; Harmonic analysis; Direct torque control; Controller (irrigation); Ripple; Computer science; Engineering; Physics; Electronic engineering; Voltage; Acoustics; Electrical engineering; Induction motor","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":[0.0001896722,0.0003919883,0.0003878899,0.0004079027,0.0002315554,0.0003421562,0.0005007767,0.0002174194,0.0007454387],"category_scores_gemma":[0.0002605429,0.0001356079,0.00023041,0.0002962547,0.0002162538,0.0003064841,0.0001770678,0.0002486178,0.0002279237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640676,"about_ca_system_score_gemma":0.0002170039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004882414,"about_ca_topic_score_gemma":0.0007101883,"domain_scores_codex":[0.9998411,0.00001575351,0.0000119216,0.00002071844,0.0001004001,0.00001010876],"domain_scores_gemma":[0.9998574,0.00003039767,0.0000306649,0.00001833152,0.00005824234,0.000004940284],"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":[0.0005145115,0.0002293887,0.0009510725,0.00119475,0.00006915159,0.0002768185,0.0002091382,0.0462922,0.3500884,0.009161504,0.002286174,0.5887269],"study_design_scores_gemma":[0.00008239675,0.0007185672,0.003640034,0.00005478107,0.00009392305,0.0005442917,0.00006211062,0.769653,0.2085298,0.003008441,0.01357215,0.00004046605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04508021,0.0011462,0.9473716,0.00007734757,0.0001354652,0.00007760818,0.00003499609,0.0007582405,0.005318339],"genre_scores_gemma":[0.8833547,0.0007792235,0.1117641,0.00005492798,0.00008939666,0.00007055502,0.00008926615,0.00006834809,0.003729582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007454387,"threshold_uncertainty_score":0.002493739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288394070793965,"score_gpt":0.2056434078831064,"score_spread":0.1927594671751668,"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."}}