Level Control of Quadruple Tank Process using Laguerre Functions based Model Predictive Control Algorithm

Authors

  • Kamel Menighed Department of petrochemical and process engineering. University of Skikda, Skikda, Algeria
  • Issam CHEKAKTA Ferhat ABBAS University-DAC HR Laboratory, Sétif1, Algeria

DOI:

https://doi.org/10.51485/ajss.v5i2.107

Keywords:

Discrete-linear state-space, Model Predictive Control (MPC), Laguerre functions, Optimization

Abstract

This paper aims to present a model predictive controller based on discrete state-space modeling, where the future control trajectory is approximated by a set of discrete-time Laguerre functions instead of shift forward operators. The benefit of using these orthonormal Laguerre functions is that they have fewer parameters to adjust in the optimization problem and the computation load is significantly lower than the standard predictive control. The effectiveness of this controller is illustrated through the quadruple tank process, which is a highly interacted, multivariable and constrained system.

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Published

2020-06-15

How to Cite

[1]
Menighed, K. and CHEKAKTA, I. 2020. Level Control of Quadruple Tank Process using Laguerre Functions based Model Predictive Control Algorithm. Algerian Journal of Signals and Systems . 5, 2 (Jun. 2020), 130-137. DOI:https://doi.org/10.51485/ajss.v5i2.107.

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Section

Articles