Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

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
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 5 · Published 2020

DOI: https://doi.org/10.14569/IJACSA.2020.0110502

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

How to Cite this Article

Pheng, S., Xiaonan, L., Lav, R., Wang, Z., & Jiang, Z. (2020). Robust Speed Control for Networked DC Motor System. International Journal of Advanced Computer Science and Applications, 11(5). https://doi.org/10.14569/IJACSA.2020.0110502

Pheng, Sokliep, et al.. "Robust Speed Control for Networked DC Motor System." International Journal of Advanced Computer Science and Applications, vol. 11, no. 5, 2020, https://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},
  volume    = {11},
  number    = {5},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Sokliep Pheng and Luo Xiaonan and Rachana Lav and Zhongshuai Wang and Zetao Jiang},
  doi       = {10.14569/IJACSA.2020.0110502},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110502}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.