Constrained model predictive control for the quadruple-tank process

Year 2019, , 175 - 181, 15.12.2019

Zohra Zıdane

https://doi.org/10.35860/iarej.535552

Cited By: 1

Abstract

Model Predictive Control (MPC) is an advanced method of
controllers, explicitly uses of model to obtain control signal. MPC is popular
in industry and academia because it is capable to deals with non-minimum phase,
unstable, dead time and multivariable processes, and solves the problem of
constraints. MPC with integral action method is used in this study for the
quadruple tank system by taking the lower two tanks into account. The objective
of this work is to design and study the MPC method for controlling the level of
tanks in a quadruple tank process depending on type of constrained problems.
However, to solve the problem of constraints is not easy way. The methods based
on the quadratic programming function and ‘if-else’ technique are presented to solve
the problem of the process constraints in MPC. A comparative study is performed
with the quadratic programming function and ‘if-else’ technique. The
performance of the proposed method is tested for reference tracking and
disturbance rejection behavior. Simulation results are presented and discussed
to show the performance of the controller.

Keywords

Model predictive control, MIMO systems, ARIMAX systems, Non-minimum phase systems, Quadrupule-tank, Quadratic programming, Prediction

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