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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Robust Speed Control for Networked DC Motor System

Author 1: Sokliep Pheng
Author 2: Luo Xiaonan
Author 3: Rachana Lav
Author 4: Zhongshuai Wang
Author 5: Zetao Jiang

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2020.0110502

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 5, 2020.

  • Abstract and Keywords
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Abstract: In this paper, we used observer-based H∞ output feedback control problems for the communication from the controller to dc motor and considered data packet dropout characterized by the Bernoulli random binary distribution the disturbance. The uncertain parameters have also been considered in the network-based dc motor system. Firstly, we used the robust H∞ output feedback control strategy to optimize controller gain and observer gain to guarantee the mean square stability. The observer-based H∞ output feedback has been designed to achieve robust speed control in the mean-square sense and optimize the parameters of the control system while guaranteeing the robust H∞ output feedback performance. Then, when data is transmitted in the control system, we illustrated that the system is stable and robust speed control can be achieved as well as the result realized.

Keywords: The Networked DC Motor System; Observer Design; Robust Speed Control; Data Dropout; LMI

Sokliep Pheng, Luo Xiaonan, Rachana Lav, Zhongshuai Wang and Zetao Jiang, “Robust Speed Control for Networked DC Motor System” International Journal of Advanced Computer Science and Applications(IJACSA), 11(5), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110502

@article{Pheng2020,
title = {Robust Speed Control for Networked DC Motor System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110502},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110502},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {5},
author = {Sokliep Pheng and Luo Xiaonan and Rachana Lav and Zhongshuai Wang and Zetao Jiang}
}


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