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DOI: 10.14569/IJACSA.2016.071041
PDF

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), Volume 7 Issue 10, 2016.

  • Abstract and Keywords
  • How to Cite this Article
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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: internal model control (IMC); over-actuated multivariable system; inverse model; method of virtual outputs; disturbances rejections, stability; state error

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



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.

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