Open AccessSpeed sensorless control of permanent magnet synchronous motor based on robust adaptive algorithm
Author(s) -
Zeng Hui Wang,
Jun Hong Zhang,
Yin Heng Zhang,
Huan Xiao,
Xiao Chen Zhang
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 - 10.1088/1742-6596/1754/1/012104
Subject(s) - mras , control theory (sociology) , robustness (evolution) , computer science , permanent magnet synchronous motor , electronic speed control , control engineering , adaptive control , vector control , engineering , magnet , control (management) , induction motor , voltage , artificial intelligence , electrical engineering , mechanical engineering , biochemistry , chemistry , gene
In order to solve the problem that the parameters of the regulator and the actual parameters do not match due to the time-varying motor parameters in the operation of PMSM, this paper adopts a robust adaptive control strategy based on linear matrix inequality (LMI) based on the model reference adaptive method (MRAS) to consider the uncertainties of the motor parameters in the state equation of the motor control system, the controller parameters are obtained by solving the LMI. The simulation model of PMSM speed sensorless control system is built in Simulink. The simulation results show that the system can track the given speed well and has strong robustness when the motor parameters change.