Open AccessSpeed fluctuation suppression of PMSM using active disturbance rejection and feedback compensation control
Author(s) -
Xie Fang,
Hong Wenjie,
Qiu Chenming
Publication year - 2021
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 97
eISSN - 1751-8679
pISSN - 1751-8660
DOI - 10.1049/elp2.12079
Subject(s) - control theory (sociology) , active disturbance rejection control , robustness (evolution) , compensation (psychology) , permanent magnet synchronous motor , electronic speed control , disturbance (geology) , torque , robust control , computer science , state observer , voltage , control system , control engineering , engineering , magnet , control (management) , nonlinear system , physics , artificial intelligence , psychoanalysis , chemistry , biology , psychology , paleontology , biochemistry , quantum mechanics , thermodynamics , electrical engineering , gene , mechanical engineering
This study proposes the active disturbance rejection control (ADRC) and feedback compensation control method that can solve the speed fluctuation problem of permanent magnet synchronous motors resulting from parameter variation and load disturbance. First, the influencing factors of speed fluctuation are analysed on the basis of a speed analytical model, and a motor robust control system is established. Second, the ADRC method is introduced to establish current controllers in accordance with the state equation for voltage output. The shuffled frog leaping algorithm is also used to automatically optimize the adjustable parameters of the active disturbance rejection controller and to improve the system robustness when the parameters vary. Third, a feedback compensation control method based on the electromagnetic torque observer is introduced to compensate for the q ‐axis current in real time. The speed fluctuation caused by load disturbance is also suppressed. Lastly, the validity and feasibility of the proposed method are verified through experiments.