DocumentCode :
2906971
Title :
Model predictive control of permanent magnet synchronous machine with reduced torque ripple
Author :
Hongming Hu ; Jianguo Zhu ; Youguang Guo
Author_Institution :
Dept. of Electr. Eng., Wuhan Univ. of Technol., Wuhan, China
fYear :
2013
fDate :
26-29 Oct. 2013
Firstpage :
1478
Lastpage :
1482
Abstract :
The conventional direct torque control (DTC) method features fast dynamic response, but it also has notable drawbacks such as high torque and flux ripples, variable switching frequency and acoustic noise. The proposed DTC scheme based on model predictive control (MPC) is studied in the paper for permanent magnet synchronous machine drive. The paper aims to reduce the torque and flux ripple. Firstly one- and two-step delay MPC methods are employed with or without the torque/flux and switching frequency compensation. Furthermore linear extrapolations N-step delay MPC method is taken into account. Compared to simulation results, the two-step delay DTC scheme is better than the one-step scheme in the steady response and dynamic performance, at the same time the torque and frequency compensations can reduce switching frequency from high value to a low constant one. Simulation results are presented to validate the effectiveness of the proposed schemes in this paper.
Keywords :
acoustic noise; machine control; permanent magnet machines; predictive control; synchronous motor drives; torque control; DTC scheme; N-step delay MPC method; acoustic noise; direct torque control method; dynamic performance; fast dynamic response; flux ripples; frequency compensations; linear extrapolations; model predictive control; permanent magnet synchronous machine; permanent magnet synchronous machine drive; reduced torque ripple; switching frequency compensation; torque-flux; two-step delay DTC scheme; two-step delay MPC methods; variable switching frequency; Cost function; Delays; Stators; Switching frequency; Torque; Torque control; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2013 International Conference on
Conference_Location :
Busan
Print_ISBN :
978-1-4799-1446-3
Type :
conf
DOI :
10.1109/ICEMS.2013.6713123
Filename :
6713123
Link To Document :
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