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2017 | OriginalPaper | Chapter

Advance Control Strategies for a Conical Process

Authors : Parashivappagol Praveen Kumar, Thirunavukkarasu Indira

Published in: Proceedings of 2nd International Conference on Intelligent Computing and Applications

Publisher: Springer Singapore

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Abstract

In this paper a Dynamic Matric Control (DMC) and Receding Horizon Control (RHC) are designed for unconstrained SISO process. These MPC variants are then simulated for a conical tank system to control the level. A first order process with dead time model for conical tank is used for simulation. The response obtained for both methods are then compared and discussed in this paper.

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Literature
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Liuping, W.: Model Predictive Control System Design and Implementation Using MATLAB. Springer, Berlin (2009)
3.
Kwon, W.H., Han, S.H.: Receding Horizon Control Model Predictive Control for State Models. Springer, Berlin (2005)
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Garcia, C.E., Morari, M.: Model predictive control: theory and practice—a survey. Automatica 25, 335–348 (1989)CrossRefMATH
6.
Rakesh, M.K., Satheesh babu, R., Thirunavukkarasu, I.: Sliding model with dead time compensation for conical tank level process. IOSR J. Electr. Electron. Eng. 9, 59–64 (2014)
7.
Rhinehart, R.: CV damping and MV suppression for MPC tuning. In: Proceedings of American Control Conference (2002)
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Muske, K.R., Rawling, J.B.: Model predictive control with linear models. AIChE J. 39, 262–287 (1993)CrossRef
Metadata
Title
Advance Control Strategies for a Conical Process
Authors
Parashivappagol Praveen Kumar
Thirunavukkarasu Indira
Copyright Year
2017
Publisher
Springer Singapore
Book
Proceedings of 2nd International Conference on Intelligent Computing and Applications

Print ISBN: 978-981-10-1644-8

Electronic ISBN: 978-981-10-1645-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-1645-5_40

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