DocumentCode :
3408793
Title :
Direct Torque Control Strategy of Induction Motors Based on Predictive Control and Synthetic Vector Duty Ratio Control
Author :
Zhang, Yinhai ; Wang, Qin ; Liu, Weixia
Author_Institution :
Dept. of Informations & Electron., Zhejiang Sci-Tech Univ., Hangzhou, China
Volume :
2
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
96
Lastpage :
101
Abstract :
The reasons of torque ripples and flux trajectory resulted by conventional direct torque control of induction motor are discussed. A new control strategy combined predictive control algorithm with synthetic vector duty ratio control technology is proposed based on the discussion to improve the performance of Direct Torque Control (DTC). This method based on the current stator flux linkage and torque deviation calculates a stator voltage to compensate for the current vector which is used in the next control period, then the stator flux linkage and torque deviation just be eliminated. Then applying synthetic vector duty ratio control technology to determine the action time of the active voltage vector which is synthesize by selected voltage vector and zero vector in the sample period. Simulation results show that the proposed DTC strategy can effectively reduce torque ripple, improve the magnetic flux trajectory.
Keywords :
induction motors; machine vector control; predictive control; torque control; voltage control; active voltage vector; current stator flux linkage; direct torque control; induction motor; magnetic flux trajectory; predictive control; stator voltage; synthetic vector duty ratio control; synthetic vector duty ratio control technology; torque deviation; torque ripple; Equations; Magnetic flux; Mathematical model; Stators; Torque; Torque control; Voltage control; Direct torque control; Predictive control; Synthetic vector duty ratio control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
Type :
conf
DOI :
10.1109/AICI.2010.143
Filename :
5656160
Link To Document :
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