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Marek Kubalčík
Vladimír Bobál



Author(s) and WSEAS

Marek Kubalčík
Vladimír Bobál


WSEAS Transactions on Systems and Control


Print ISSN: 1991-8763
E-ISSN: 2224-2856

Volume 12, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 12, 2017



Predictive Control Dead-Time Processes

AUTHORS: Marek Kubalčík, Vladimír Bobál

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ABSTRACT: One of the possible approaches to control of dead-time processes is application of predictive control methods. In technical practice often occur higher order processes when a design of an optimal controller leads to complicated control algorithms. One of the possibilities of control of such processes is their approximation by lower-order model with dead-time (time-delay). The first part of the paper deals with a design of an algorithm for predictive control of high-order processes which are approximated by a second-order model of the process with time-delay. The second part of the paper deals with a design of an analogical algorithm for predictive control of multivariable processes with time-delay. The predictive controllers are based on the recursive computation of predictions which was extended for the time-delay system. The designed control algorithms were verified by simulation.

KEYWORDS: predictive control, time-delay systems, transfer function models, matrix fraction models

REFERENCES:

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[2] A. O’Dwyer, Classification of techniques for the compensation of time delayed processes. Part 2: Structurally optimised controllers, Proc. of the 3rd IMACS/IEE International Multiconference on Circuits, Systems,Communications and Computers, Athens, Greece, 1999, 187-198.

[3] J. P. Richard, Time-delay systems: an overview of some recent advances and open problems, Automatica, 39, 2003, 1667-1694.

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[10] F. G. Shinskey, Process Control System, 4th ed.; McGraw-Hill. New York, 1996.

[11] M. Kubalčík, M., V. Bobál, Adaptive Control of Coupled Drives Apparatus Based on Polynomial Theory. In Proc. IMechE Vol. 220 Part I: J. Systems and Control Engineering, 220(I7), 2006, 641-654.

[12] W.H. Kwon, H. Choj, D.G. Byun, S. Noh, Recursive solution of generalized predictive control and its equivalence to receding horizon tracking control. Automatica, 28(6), 1992, 1235–1238.

[13] J. A. Rossiter, Model Based Predictive Control: a Practical Approach (CRC Press, 2003).

[14] V. Bobál, M. Kubalčík, P. Chalupa and P. Dostál, Identification and Digital Control of Higher-Order Processes Using Predictive Strategy. Proceedings of 26th European Conference on Modelling and Simulation, 2012, 426-433.

WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 12, 2017, Art. #51, pp. 499-507


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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