Open AccessImproved fast three vector predictive current control of permanent magnet synchronous motor
Author(s) -
Fang Zhi-yuan,
Chen Luo,
Shuai Sun
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 - 10.1088/1742-6596/1754/1/012093
Subject(s) - control theory (sociology) , model predictive control , vector control , voltage , current (fluid) , computer science , voltage reference , state vector , position (finance) , support vector machine , steady state (chemistry) , control (management) , engineering , induction motor , artificial intelligence , physics , chemistry , finance , classical mechanics , electrical engineering , economics
In order to improve the steady-state performance of the traditional model predictive control and reduce the amount of calculation of the control algorithm, this paper proposes a new fast three-vector predictive current control algorithm, which uses the principle of deadbeat control of the dq-axis current to calculate the reference voltage vector, and obtains the reference voltage vector position through sector judgment, combined with the three-vector model predictive control algorithm, the optimal voltage vector is directly applied to the motor, without the need to predict the behavior of the system under the voltage vector, which greatly reduces the amount of calculation. At the same time, due to the introduction of three vectors, three functions are applied in one cycle. The voltage vector greatly improves the steady-state characteristics of the system. The simulation results show that the proposed new three-vector predictive current control algorithm can reduce the amount of calculation and improve the steady-state characteristics of the system.