Research on Fuzzy Direct Torque Control System Based on Improved Grey Model Prediction

Wei Zhao; Qiang Wang; Lu Yan Wang

doi:10.4028/www.scientific.net/AMM.313-314.488

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 313-314Research on Fuzzy Direct Torque Control System...

Research on Fuzzy Direct Torque Control System Based on Improved Grey Model Prediction

Abstract:

In order to increase the accuracy and real-time of grey prediction fuzzy direct torque control system, an improved grey prediction fuzzy direct torque control method was advanced. The equal-dimensional new information model was used to construct the new grey prediction model. The position angle of motor stator flux was divided into sectors, by which the simplified fuzzy algorithm was obtained. The simulation results show that the improved method can greatly overcome the shortcomings caused by the original method, such as the overlarge dimensions of original time sequence and the decrease of effective information amount due to the lasting of time. The calculation quantity in prediction process is reduced. The precision of prediction and the real-time of fuzzy control system are increased. The instability of stator flux is lowered and the speed respond of motor is meliorated.

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Periodical:

Applied Mechanics and Materials (Volumes 313-314)

Pages:

488-493

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.313-314.488

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Online since:

March 2013

Authors:

Wei Zhao, Qiang Wang, Lu Yan Wang

Keywords:

Direct Torque Control (DTC), Equal-Dimensional New Information Prediction, Fuzzy Control, Grey Model Prediction

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References

[1] Byron J Bunker, Matthew A Franchek, Bruce E Thomason. Robust multivariable control of an engine dynamometer system [J].IEEE Transactions on ControlSystemsTechnology,1997,5(2):189～199.

DOI: 10.1109/87.556024

Google Scholar

[2] CAO Cheng-zhi, LIANG Yue-yang, SAN Hong-li. Optimal design of DTC fuzzy controller based on grey prediction theory[J].Journal of Shenyang University of Technology, 2008, 30(5): 587-590.

Google Scholar

[3] XIAO Ju-liang, WANG Guo-dong, YAN Xian-gan, ZHANG Chen-pu. Switching grey prediction fuzzy control and its application[J].Journal of Tianjin University, 2007, 40(7) : 859-863.

Google Scholar

[4] Liu Jin-yue, Zeng Zhou-mo, Li Tie-jun. Study of magnetic field measurement sampling technique based on grey theory & fuzzy logic[J].Chinese Journal of Scientific Instrument, 2010, 31(1): 122-126.

Google Scholar