Welcome to Open Science
Contact Us
Home Books Journals Submission Open Science Join Us News
Research on Direct Torque Control of Permanent Magnet Synchronous Motor Based on Svpwm
Current Issue
Volume 3, 2016
Issue 1 (December)
Pages: 7-11   |   Vol. 3, No. 1, December 2016   |   Follow on         
Paper in PDF Downloads: 57   Since Jan. 11, 2017 Views: 1718   Since Jan. 11, 2017
Authors
[1]
Liu Yong, School of Mathematics and Statistics, Yancheng Teachers University, Yancheng, China.
Abstract
The paper expounds the mathematical model of permanent magnet synchronous motor, which introduces the general principle of the direct torque control and the space vector pulse width modulation. In the matlab/simulink environment, the mathematical model of permanent magnet synchronous motor sets up a simulation model of the direct torque control which based on the theory of svpwm. Each step and process of the simulation model are introduced in detail and finally the simulation result is obtained. The simulation result shows that the direct torque control system which based on the theory of svpwm has a constant switch frequency, can reduce the torque ripple greatly, and improves the current waveforms and flux linkage waveforms. So it makes the system have a better dynamic and static performance and also verify the feasibility and effectiveness of the plan.
Keywords
Permanent Magnet Synchronous Motor, Direct Torque Control, SVPWM
Reference
[1]
Feng tao, Lu hua. Direct torque control and simulation of permanent magnet synchronous motor [J]. EMCA, 2013, 40(6):27-28.
[2]
Lin C K, Liu T H, Fu L C, et al. Model-free predictive current control for interior permanent-magnet synchronous motor drives based on current difference detection technique[J]. IEEE Transactions on Industrial Electronics, 2014, 61(2): 667-681.
[3]
Yang xiuqin, Zou Kaifeng, Zang xiaojie. Direct torque control of permanent magnet synchronous motor based on SVPWM [J]. Explosion-proof Electric Machine, 2013, 48(6): 27-29.
[4]
NIU Li, YANG Ming, WANG Geng, et al. Research on the Robust Current Control Algorithm of Permanent Magnet Synchronous Motor Based on Deadbeat Control Principle[J]. Proceedings of the CSEE, 2013, 33(15): 78-85.
[5]
Siami M, Khaburi D A, Abbaszadeh A, et al. Robustness Improvement of Predictive Current Control Using Prediction Error Correction for Permanent-Magnet Synchronous Machines [J]. IEEE Transactions on Industrial Electronics, 2016, 63(6): 3458-3466.
[6]
Qiu henan, Wang xudong, Li zhiwei, Na risha. Feedback linearization direct torque control of permanent magnet synchronous motor based on the five-stage SVPWM [J]. Journal of Harbin University and Technology, 2015, 20(6): 66-69.
[7]
Lin C K, Lai Y S, Yu H C, et al. Simplified model-free predictive current control for interior permanent magnet synchronous motors [J]. Electronics Letters, 2016, 52(1): 49-50.
[8]
LIU Xu-dong, LI Ke, SUN Jing, et al. Generalized predictive control based on extended state observer for permanent magnet synchronous motor system [J]. Control Theory & Applications, 2015, 32(12): 1613-1619.
[9]
Mao Chengxiong, He Jinping, Wang Dan, et al. Multivariable feedback linearization scheme for new excitation system based on full controlled devices [J]. Proceedings of the CSEE, 2013, 33(0): 1-8.
[10]
MEI Cong-Li, YIN Kai-ting, HUANG Wen-tao, et al. Data-driven adaptive decoupling control of induction motors using multi-model inversion [J]. Control and Decision, 2016, 31(6): 1037-1041.
[11]
Weiping Guo, Diantong Liu. Sliding mode supervised fuzzy control for a class of underactuated nonlinear systems [J]. Journal of Information & Computational Science, 2013, 10(2): 493-500.
[12]
PAN Yue-dou, CHEN Hu. Research on high gain technique based on-line fluxes estimation for IMs [J]. Control and Decision, 2014, 29(8): 1495-1500.
Open Science Scholarly Journals
Open Science is a peer-reviewed platform, the journals of which cover a wide range of academic disciplines and serve the world's research and scholarly communities. Upon acceptance, Open Science Journals will be immediately and permanently free for everyone to read and download.
CONTACT US
Office Address:
228 Park Ave., S#45956, New York, NY 10003
Phone: +(001)(347)535 0661
E-mail:
LET'S GET IN TOUCH
Name
E-mail
Subject
Message
SEND MASSAGE
Copyright © 2013-, Open Science Publishers - All Rights Reserved