Open AccessSensorless control of SMPMSM drive system integrated the differential algebra with the algebraic parameter identification
Author(s) -
Ben Xu,
Hongmei Li,
Liguo Yang,
Wang Xl,
jinyu Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1754/1/012084
Subject(s) - differentiator , control theory (sociology) , stator , differential algebra , rotor (electric) , differential (mechanical device) , control engineering , identification (biology) , signal (programming language) , computer science , mathematics , engineering , control (management) , artificial intelligence , mechanical engineering , computer network , mathematical analysis , botany , bandwidth (computing) , biology , programming language , aerospace engineering
The differential algebraic sensorless control has the technical features of clear concept and low calculation amount. However, this method is particularly sensitive to motor parameters. Therefore, a differential algebraic sensorless control strategy combined with algebraic parameter identification is proposed and applied to surface mounted permanent magnet synchronous motor (SMPMSM) drive system in this paper. Without the signal injection, the proposed method can promptly and accurately realize the online simultaneous identification of stator resistance and inductance based on the different torque conditions of system, and then the motor parameters used in the differential algebraic sensorless control are updated in time. In addition, the tracking differentiator is designed to accurately obtain the first-order differential of the stator current signal with noises for rotor position estimation. Finally, the effectiveness of the proposed sensorless control method is validated by the simulation results.