DocumentCode :
2331903
Title :
Predictive current control for Permanent Magnet Synchronous Motor based on deadbeat control
Author :
Niu Li ; Yang Ming ; Xu Dian-Guo
Author_Institution :
Inst. of Power Electron. & Electr. Drives, Harbin Inst. of Technol., Harbin, China
fYear :
2012
fDate :
18-20 July 2012
Firstpage :
46
Lastpage :
51
Abstract :
This paper presents a discrete predictive current control of PMSM (Permanent Magnet Synchronous Motor) based on dead-beat algorithm, in the synchronous frame, to improve the performance of current loop. Based on the mathematical model of PMSM the current controller directly calculated the expected voltage vector according to the current reference and feedback values, then transforms the voltage vector into switch signals with SVPWM model. The robust predictive current control is introduced to decrease the sensitivity of system stability with the model parameters error. Simulation and experiment results show that the PMSM current predictive control scheme improves both the dynamic performance and steady-state precision of the current loop efficiently.
Keywords :
electric current control; machine control; modulation; permanent magnet motors; predictive control; robust control; synchronous motors; dead-beat algorithm; deadbeat control; discrete predictive current control; dynamic performance; mathematical model; model parameters error; permanent magnet synchronous motor; robust predictive current control; space vector modulation; steady-state precision; synchronous frame; system stability; voltage vector; Current control; Mathematical model; Permanent magnet motors; Prediction algorithms; Predictive models; Synchronous motors; Vectors; current control; permanent magnet synchronous motor; predictive control; robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-2118-2
Type :
conf
DOI :
10.1109/ICIEA.2012.6360695
Filename :
6360695
Link To Document :
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