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 |

A New Internal Model Control Method for MIMO Over-Actuated Systems

Author 1: Ahmed Dhahri Author 2: Imen Saidi Author 3: Dhaou Soudani
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 10 · Published 2016 · Cited by 8

DOI: https://doi.org/10.14569/IJACSA.2016.071041

Abstract

A new design method internal model control is proposed for multivariable over-actuated processes that are often encountered in complicated industrial processes. Due to the matrix that is adopted to describe over-actuated system is not square, many classical multivariable control methods can be hardly applied in such system. In this paper, based on method of virtual outputs, a new internal model control method is proposed. The proposed method is applied to shell standard control problem (3 inputs and 2 outputs). The simulation results show that the robust controller can keep the set inputs without overshoot, steady state error, input tracking performance and disturbance rejection performance, the results are satisfactory have proved the effectiveness and reliability of the proposed method.

Keywords

How to Cite this Article

Dhahri, A., Saidi, I., & Soudani, D. (2016). A New Internal Model Control Method for MIMO Over-Actuated Systems. International Journal of Advanced Computer Science and Applications, 7(10). https://doi.org/10.14569/IJACSA.2016.071041

Dhahri, Ahmed, et al.. "A New Internal Model Control Method for MIMO Over-Actuated Systems." International Journal of Advanced Computer Science and Applications, vol. 7, no. 10, 2016, https://doi.org/10.14569/IJACSA.2016.071041.

@article{Dhahri2016,
  title     = {A New Internal Model Control Method for MIMO Over-Actuated Systems},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {10},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Ahmed Dhahri and Imen Saidi and Dhaou Soudani},
  doi       = {10.14569/IJACSA.2016.071041},
  url       = {https://doi.org/10.14569/IJACSA.2016.071041}
}

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.