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Model predictive controller (MPC) for a MIMO process


Article Information

Title: Model predictive controller (MPC) for a MIMO process

Authors: Kavery Lal, Rakesh kumar S., Valarmathi R.

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 7

Language: English

Categories

Abstract

Model Predictive Controller (MPC) is one of the advanced methodology in current control engineering which has become the attractive strategy that deals with linear/non-linear dynamic behavior of the system. Linear MPC approach is used in this work for the quadruple tank system by taking the lower two tanks into account. The aim of this work is to design and investigate the predictive controller for controlling the level of tanks in a quadruple tank process based on constrained and unconstrained type of problems. Various disturbance scenarios were also applied and proved by controller to show a good response to disturbance rejection. The best possible control is achieved by tuning the parameters of MPC based on a tuning algorithm. The controller is thus designed in the MATLAB environment and according to the gathered simulation environment results, the applied control method were best suitable for obtaining optimal control and the results were analyzed by performance measures.


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