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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


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  2/2014 - 22

Cascade Control of a Residual Water Blunting System

MURESAN, V. See more information about MURESAN, V. on SCOPUS See more information about MURESAN, V. on IEEExplore See more information about MURESAN, V. on Web of Science, ABRUDEAN, M. See more information about  ABRUDEAN, M. on SCOPUS See more information about  ABRUDEAN, M. on SCOPUS See more information about ABRUDEAN, M. on Web of Science, UNGURESAN, M.-L. See more information about  UNGURESAN, M.-L. on SCOPUS See more information about  UNGURESAN, M.-L. on SCOPUS See more information about UNGURESAN, M.-L. on Web of Science, COLOSI, T. See more information about COLOSI, T. on SCOPUS See more information about COLOSI, T. on SCOPUS See more information about COLOSI, T. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (882 KB) | Citation | Downloads: 212 | Views: 1,295

Author keywords
automatic control, control system, distributed parameter process, numerical simulation, partial differential equation

References keywords
control(17), systems(8), parameter(6), automatic(6), distributed(5), aqtr(5), abrudean(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 135 - 144
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02022
Web of Science Accession Number: 000340868100022
SCOPUS ID: 84901835909

Abstract
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In this paper, a solution for the automatic control of a residual water blunting system is proposed. The blunting technological process, being a distributed parameter one, is modeled using partial differential equations. This approach implies very big technological advantages due to the fact that the user has access to the pH value in each point of the tanks of the blunting system. Another element of originality is the inclusion of a distributed parameter process in a control structure, having the possibility to maintain the pH value constant in each point in the volume of the liquid from the system. A method based on the matrix of partial derivatives of the state vector (Mpdx) associated with Taylor series is used for the modeling-simulation of both the blunting process and the control system. The results assured by a simple control structure are not sufficient due to the restrictive imposed performances, so a cascade structure is treated in the paper.


References | Cited By  «-- Click to see who has cited this paper

[1] V. Muresan, M. Abrudean, M.-L. Unguresan, T. Colosi, "Control of the Blunting Process of the Residual Water from a Foundry," Proc. of 2012 IEEE SACI 7th edition, Timisoara, Romania, 2012.
[CrossRef]


[2] V. Muresan, M. Abrudean, "Temperature Modelling and Simulation in the Furnace with Rotary Hearth," Proc. of 2010 IEEE AQTR 2010-17th edition, Cluj-Napoca, Romania, 2010, pp. 147-152.
[CrossRef] [SCOPUS Times Cited 10]


[3] H.-X. Li, C. Qi. Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach, 1st Edition. Springer, pp. 10-32, 2011.

[4] M. Krstic, "Systematization of approaches to adaptive boundary control of PDEs," International Journal of Robust and Nonlinear Control, vol. 16, pp. 801-818, 2006.
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 39]


[5] R. F. Curtain, K.A. Morris, "Transfer Functions of Distributed Parameter Systems," Automatica, vol. 45, no. 5, pp. 1101-1116, 2009.

[6] H. Lin, P. J. Antsaklis, "Switching Stabilizability for Continuous-time Uncertain Switched Linear Systems," IEEE Transactions on Automatic Control, vol. 52, no. 4, pp. 633-646, 2007.
[CrossRef] [Web of Science Times Cited 94] [SCOPUS Times Cited 130]


[7] A. Smyshlyaev, M. Krstic, "Control design for PDEs with space-dependent diffusivity and time-dependent reactivity," Automatica, vol. 41, pp. 1601-1608, 2005.

[8] P. Frihauf, M. Krstic, "Leader-enabled deployment into planar curves: A PDE-based approach," IEEE Transactions on Automatic Control, vol. 56, pp. 1791-1806, 2011.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 29]


[9] D. L. Russell, "Observability of Linear Distributed Parameter Systems," The Control Handbook, Control System Advanced Methods, William Levine, CRC Press U.S.A., pp. 70-1-70-12, 2010.

[10] I. Inoan, "Movement control of an unloading machine from a rotary furnace," Proc. of AQTR 2010, THETA 17th edition, Cluj-Napoca, Romania, 2010, pp. 131-134.
[CrossRef] [SCOPUS Times Cited 7]


[11] I.-V. Sita, "Building Control, Monitoring, Safety and Security using Collaborative Systems," 4th Int. Conf. on Intelligent Networking and Collaborative Systems, Bucharest, Romania, 2012, pp. 662-667.
[CrossRef] [SCOPUS Times Cited 8]


[12] R. Miron, T. Letia, "Fuzzy Logic Decision in Partial Fingerprint Recognition," AQTR 2010-THETA 17th edition, Cluj-Napoca, Romania, 2010, pp. 439-444.

[13] M. Abrudean. Systems theory and automatic regulation. Mediamira, Cluj-Napoca, pp. 78-93, 1998.

[14] A. G. Gheorghe, C. V. Marin, F. Constantinescu, M. Nitescu, "Parameter Identification for a New Circuit Model Aimed to Predict Body Water Volume," Advances in Electrical and Computer Engineering, vol. 12, no. 4, pp. 83 - 86, 2012.
[CrossRef] [Full Text] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]


[15] St. Preitl, R. E. Precup, Z. Preitl. Structures and algorithms in automatic control of the processes Vol. 2. Orizonturi Universitare, Timisoara, pp. 41-62, 2009.

[16] J. Love, Process Automation Handbook. Springer, pp. 250-272, 2007.

[17] M. Vinatoru. Industrial plant automatic control, Vol. 1. Universitaria Craiova, pp. 67-80, 2001.

[18] F. Golnaraghi, B. C. Kuo. Automatic Control Systems. Wiley, pp. 487-510, 2009.

[19] F. Aghili, "Control of Brushless DC Motors," The Control Handbook, Second Edition: Control System Applications, W. S. Levine, CRC Press, pp. 23.1-23.20, 2010.

[20] T. Colosi, M. Abrudean, M.-L. Unguresan, V. Muresan. Numerical Simulation of Distributed Parameter Processes. Springer, pp.264-280, 2013.

[21] User Guide, Matlab 7.5.0 (R2007b).

[22] S. Godasia, A. Karakasb, A. Palazoglu, "Control of nonlinear distributed parameter processes using symmetry groups and invariance conditions," Computers & Chemical Engineering, vol. 26, no. 7-8, pp. 1023-1036, 2002.
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 24]




References Weight

Web of Science® Citations for all references: 157 TCR
SCOPUS® Citations for all references: 248 TCR

Web of Science® Average Citations per reference: 7 ACR
SCOPUS® Average Citations per reference: 11 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2016-12-07 17:09 in 50 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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