Real-time implementation of model predictive control for flow control application

This paper presents real-time implementation of model predictive control (MPC) of flow process application. The poor performance of classical approach occur when the control system does not provide optimal control process behavior in presence of non-linearities. Therefore MPC is highlighted as advan...

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Vydáno v:	2014 5th International Conference on Intelligent and Advanced Systems (ICIAS) s. 1 - 5
Hlavní autoři:	Rosli, Nurfatihah Syalwiah, Ibrahim, Rosdiazli
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.06.2014
Témata:	Control systems Data acquisition Data Acquisition Toolbox flow control Mathematical model Model Predictive Control PID Controller Predictive control Real-time systems Software packages
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Shrnutí:	This paper presents real-time implementation of model predictive control (MPC) of flow process application. The poor performance of classical approach occur when the control system does not provide optimal control process behavior in presence of non-linearities. Therefore MPC is highlighted as advanced process control for dynamic model system. A control algorithm is focused on developing MPC using MATLAB/Simulink Toolboxes. The algorithm is applied to a pilot plant to see the performance of the controller which the plant is interfaced to MATLAB/Simulink environment via DAQ data acquisition card. The performance of MPC is compared with classical PID controller based on step response and their robustness in presence of disturbance.
DOI:	10.1109/ICIAS.2014.6869481