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Editor-in-chief

 
Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
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IJIEE 2015 Vol.5(6): 398-405 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2015.V5.567

Advanced Control Algorithm: Applications to Industrial Processes

A. Ramdani, S. Grouni, and M. Traïche
Abstract— As in the most industrial systems, a control of the input of the systems including a classic regulator is a key point. The Proportional-Integral-Derivative controllers are commonly used in many industrial control systems and appeared suitable to stable the control of the majority of real processes. But in some cases like a non-minimum-phase plant or a plant with a dead-time proceed to a thin regulating of coefficients until to get a system respecting the conditions specified. It is possible also to present a problem of overtaking with the increase of the gain or seems impotent for systems having a big delay and the use of sophisticated process controllers is required. Model predictive control is an important branch of automatic control theory, it refers to a class of control algorithms in which a process model is used to predict and optimize the process performance. MPC has been widely applied in industry. Dynamic Matrix Control Algorithm belongs to the family of Model predictive control Algorithms where these algorithms only differ between themselves in the model that represents the process, disruptions and the function of cost. In this paper the study of the Dynamic Matrix Control Algorithm are interested while applying him on processes of water heating and mechanical rotations of steering mirrors in a Light Detection and Ranging system as a second application. The objective of this work consists of solving the problem of prediction of the output and input of the process by fixing a horizon finished N, and while considering the present state like initial state, to optimize a cost function on this interval, while respecting constraints. Therefore, the future reference is known and the system behavior must be predictable by an appropriate model. It results an optimal sequence of N control of it among which alone the first value will be applied effectively. As the time advances, the horizon of prediction slips and a new problem of optimization is to solve while considering the state of the system updating. In summary, every moment, it is necessary to elaborate an optimal control sequence in open loop, refined systematically by the present measure arrival.

Index Terms— Dynamic matrix control, predictive control, water heater.

A. Ramdani is with Centre de Développement des Technologies Avancées (CDTA), Algeria. He is also with Applied Automation Laboratory, Faculty of Oil and Chemistry, Av.de l‟Indépendance, Algeria (e-mail: aramdani@cdta.com).
S. Grouni is with Industrial Maintenance Department, Faculty of Sciences Engineering, Av.de l‟Indépendance, Algeria (e-mail: said.grouni@yahoo.com).
M. Traïche is with Centre de Développement des Technologies Avancées (CDTA), Algeria (e-mail: mtraiche@cdta.dz).

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Cite: A. Ramdani, S. Grouni, and M. Traïche, " Advanced Control Algorithm: Applications to Industrial Processes," International Journal of Information and Electronics Engineering vol. 5, no. 6, pp. 398-405, 2015.

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