One Approach for Direct Torque Control Switching Voltage Vector Selection

Article Preview

Abstract:

Direct torque control selected switching voltage vector according to torque hysteresis comparator output, flux hysteresis comparator output, and sector. One switching voltage vector selection approach was proposed. It used support vector regression machine to carry out direct torque control switching voltage vector selection. The selection of eight switching voltage vectors was an eight classification problem. This classification problem was changed into regression problem by support vector regression machine. The nonlinear function used for switching voltage vector selection was gained by support vector regression machine training. Asynchronous motor direct torque control simulation result shows feasibility and effectivity of proposed method.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

867-871

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Wang chengyuan, Xia jiakuan, Sun yibiao. Modern control technique of electric machines[M]. Beijing: China machine press, 2009: 162-177.

Google Scholar

[2] J. Beerten, J. Verveckken,J. Driesen. Predictive Direct Torque Control for Flux and Torque Ripple Reduction [J]. IEEE Transactions on Industrial Electronics, 2010, 57(1): 404-412.

DOI: 10.1109/tie.2009.2033487

Google Scholar

[3] Wang Jing-xin, Jiang Jian-guo. Variable- structure Direct Torque Control for Induction Motor Driven by a Matrix Converter Based on Field Oriented[J]. Proceedings of the CSEE, 2012, 30(6): 57-62.

DOI: 10.1109/ipemc.2009.5157453

Google Scholar

[4] Yongchang Zhang, Jianguo Zhu, Zhengming Zhao, et al. An Improved Direct Torque Control for Three-Level Inverter-Fed Induction Motor Sensorless Drive[J]. IEEE Transactions on Power Electronics, 2012, 27(3): 1502- 1513.

DOI: 10.1109/tpel.2010.2043543

Google Scholar

[5] X. del Toro Garcia, A. Arias, M. G. Jayne et al. Direct Torque Control of Induction Motors Utilizing Three-Level Voltage Source Inverters[J]. IEEE Transactions on Industrial Electronics, 2008, 55 (2): 956-958.

DOI: 10.1109/tie.2007.896527

Google Scholar

[6] M. R. Douiri, M. Cherkaoui, A. Essadki. A neuro fuzzy PI controller used for speed control of a direct torque to twelve sectors controlled induction machine drive[A]. Proceedings of 2011 International Conference on Multimedia Computing and Systems[C], 2011: 1-6.

DOI: 10.1109/icmcs.2011.5945686

Google Scholar

[7] Xie shunyi, Hu daping. Study of Asynchronous Machine Direct Torque Control based on Lag loop Stata Selector [J]. Power Electronics, 2005, 39(1): 98-100.

Google Scholar

[8] V.N. Vapnik. The Nature of Statistical Learning Theory [M]. Springer, New York, (1995).

Google Scholar

[9] Chen Jie, Zhu lin. New identification approach for nonlinear systems based on the combination network model of least squares and support vector machines[J]. Control Theory & Applications, 2010, 27 (3): 303-309.

Google Scholar

[10] Song Jian-cheng,Zheng Jian-bin,Qu Bing-ni. Modeling and simulation for switched reluctance motor based on least squares support vector machine[J]. Electric Machines and Control, 2010, 14 (5): 44-48.

Google Scholar