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2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery
The Research of Optimized Torque Control Algorithm for PMSM Based on Grey Prediction Model
Tianjin, China
August 14-August 16
ISBN: 978-0-7695-3735-1
ASCII Text
x 
 
Gang Zhao, Jinzhao Feng, Qiang Sun, "The Research of Optimized Torque Control Algorithm for PMSM Based on Grey Prediction Model," Fuzzy Systems and Knowledge Discovery, Fourth International Conference on, vol. 1, pp. 335-340, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009.
 
 
BibTex
x
 
@article{ 10.1109/FSKD.2009.588,
author = {Gang Zhao and Jinzhao Feng and Qiang Sun},
title = {The Research of Optimized Torque Control Algorithm for PMSM Based on Grey Prediction Model},
journal ={Fuzzy Systems and Knowledge Discovery, Fourth International Conference on},
volume = {1},
year = {2009},
isbn = {978-0-7695-3735-1},
pages = {335-340},
doi = {http://doi.ieeecomputersociety.org/10.1109/FSKD.2009.588},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Fuzzy Systems and Knowledge Discovery, Fourth International Conference on
TI - The Research of Optimized Torque Control Algorithm for PMSM Based on Grey Prediction Model
SN - 978-0-7695-3735-1
SP335
EP340
A1 - Gang Zhao,
A1 - Jinzhao Feng,
A1 - Qiang Sun,
PY - 2009
KW - grey prediction
KW - torque control
KW - PMSM
VL - 1
JA - Fuzzy Systems and Knowledge Discovery, Fourth International Conference on
ER -
 
This paper realized the establishment of grey model for the uncertain part in terms of the analysis of current loop model in permanent-magnet synchronous motor (PMSM) close-loop control system in order to acquire improvement of current tracking character. Based on this model and the combination of torque constant value Kt in online identified strategy, this algorithm could enhance the calculation veracity of Kt through improving voltage accuracy, which made toque control precision improved to some extent. Through the MATLAB software to carry through algorithm simulation, compared with traditional PID control method, the result indicated that adopting grey prediction model to put up compensation control was able to improve current tracking capability and to achieve higher accuracy for torque control.
Index Terms:
grey prediction, torque control, PMSM
Citation:
Gang Zhao, Jinzhao Feng, Qiang Sun, "The Research of Optimized Torque Control Algorithm for PMSM Based on Grey Prediction Model," fskd, vol. 1, pp.335-340, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
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