
Current Dynamically Predicting Control of PMSM Targeting the Current Vectors
Author(s) -
Hexu Sun,
Kai Jing,
Yan Dong,
Yi Zheng
Publication year - 2015
Publication title -
journal of electrical engineering and technology/journal of electrical engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2093-7423
pISSN - 1975-0102
DOI - 10.5370/jeet.2015.10.3.1058
Subject(s) - control theory (sociology) , current (fluid) , vector control , stator , voltage , reference frame , computer science , inverter , frame (networking) , state vector , control (management) , engineering , physics , induction motor , artificial intelligence , electrical engineering , telecommunications , classical mechanics
This paper present a current predicting control method for PMSM (permanent magnet synchronous motor) to improve the tracking performance of stator current, which regards the current vector as the control target. Solving the model state equation in the static frame (α-β frame), the dynamic change of current vector will be gained as three independent terms. These change terms, which contain the prediction of current vector, are discretized and simplified by Taylor series expansion and used to get the voltage vector as the predictive control quantity. SVPWM will transform the control voltage to the switching signal of inverter, which is newly deduced for the current vector. Simulation and experiment results are given to testy and verify the performance of this method.