Open Access
Issue
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
Article Number 04029
Number of page(s) 4
Section Circuit Simulation, Electric Modules and Displacement Sensor
DOI https://doi.org/10.1051/matecconf/201823204029
Published online 19 November 2018
  1. Fan Juanjuan, Luo Guangzhao, Yan Yaogang, etc. Research on Simulation of IPMSM Vector Control Based on Internal Model Decoupling. Computer Simulation, 2010, 27(10): 347-351. [Google Scholar]
  2. Zhou Zhigang. Research on decoupling control system for rotor field orientation deviation of asynchronous motor. Transactions of China Electrotechnical Society, 2003(03):19-23. [Google Scholar]
  3. Khoo Suiyang. Sliding Mode Control for T-S Fuzzy Systems. International Journal of Systems and Control, 2007(01):21-29. [Google Scholar]
  4. Xu Xuyao, Lin Hui. Position and Speed Integrated Design of Permanent Magnet Synchronous Motor Based on Dynamic Sliding Mode Control. Transactions of China Electrotechnical Society, 2014, 29(05): 77-83. [Google Scholar]
  5. Zhang Xiaoguang, Sun Lizhi, Zhao Ke. Nonlinear speed control for PMSM system using sliding-model control and disturbance compensation techniques. IEEE Transactions on Power Electronics, 2013, 28(3): 1358-1365. [CrossRef] [Google Scholar]
  6. Cao Jianrong, Yu Lie, Wei Zeguo, Wang Yuhua. Research on Decoupling Control of Induction Motor Based on Inverse System Theory. Transactions of China Electrotechnical Society, 1999(01):7-11. [Google Scholar]
  7. Dai Xianzhong, Zhang Xinghua, Liu Guohai, Zhang Lei. Neural network inverse system linearization decoupling control of induction motor. Proceedings of the CSEE, 2004(01):112-117. [Google Scholar]
  8. Harnefers L. Model Based Current Control of AC Machines Using the Internal Model Control Method. IEEE Transactions on Industry Applications, 1998, 34(1): 131-141. [Google Scholar]
  9. Zhou Yuanshen. Internal Model Decoupling of Induction Motor Cross-Coupling Voltage. Machine Tools & Hydraulics, 2008(07):357-360. [Google Scholar]
  10. Chen Juan, Dong Cuiying. Composite internal model control of nonlinear systems based on neural network. Journal of Harbin University of Science and Technology, 2004(01): 17-20. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.