Constrained model predictive control for the quadruple-tank process

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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International Advanced Researches and Engineering Journal-Cover

Yayın Aralığı: Yılda 3 Sayı
Başlangıç: 2017
Yayıncı: Dr. Ceyhun YILMAZ

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