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Vol: 58(72) No: 2 / June 2013 pH Control of the Residual Water in an Industrial Blunting System Vlad Mureşan Department of Automation, Technical University of Cluj-Napoca, Faculty of Automation and Computer Science, 26-28 Gh. Bariţiu Street, 400027 Cluj-Napoca, Romania, phone: +40-744420906, e-mail: Vlad.Muresan@aut.utcluj.ro Mihail Abrudean Department of Automation, Technical University of Cluj-Napoca, Faculty of Automation and Computer Science, 26-28 Gh. Bariţiu Street, 400027 Cluj-Napoca, Romania, e-mail: Mihai.Abrudean@aut.utcluj.ro Tiberiu Coloşi Department of Automation, Technical University of Cluj-Napoca, Faculty of Automation and Computer Science, 26-28 Gh. Bariţiu Street, 400027 Cluj-Napoca, Romania, e-mail: Tiberiu.Colosi@aut.utcluj.ro Keywords: blunting system, partial differential equation, distributed parameter process, matrix of partial derivatives of the state vector, cream of lime, pH Abstract This paper presents a method for the pH modeling, simulation and control of the residual water in a blunting system. The blunting process, being a distributed parameter one is modeled using partial differential equations. In the modeling procedure the effect of the two reacting substances (the acid and the cream of lime) are considered separately, the final value of the pH being their resultant. The numerical simulation of the control system is based on the matrix of partial derivatives of the state vector (Mpdx), method associated with Taylor series. This method generates a very high accuracy and is appropriate for the case of the distributed parameter processes. References [1] V. Mureşan, M. Abrudean, M.-L. Ungureşan, T. Coloşi, “Control of the Blunting Process of the Residual Water from a Foundry”, Proceedings of IEEE 7th International Symposium on Applied Computational Intelligence and Informatics SACI 2012, Timisoara, Romania, 2012. [2] V. Mureşan, M. Abrudean, “Temperature Modelling and Simulation in the Furnace with Rotary Hearth”, Proceedings of 2010 IEEE International Conference on Automation, Quality and Testing, Robotics AQTR 2010 THETA 17th edition, Cluj-Napoca, Romania, vol. I, pp. 147-152, 2010. [3] M. Abrudean, Systems theory and automatic regulation, MEDIAMIRA Publishing house, Cluj-Napoca, 1998, 170 pages. [4] I.-V. Sita, “Building Control, Monitoring, Safety and Security using Collaborative Systems”, Proceedings of Fourth International Conference on Intelligent Networking and Collaborative Systems, Bucharest, Romania, pp. 662-667, 2010. [5] R. Miron, T. Leția, “Fuzzy Logic Decision in Partial Fingerprint Recognition”, Proceedings of 2010 IEEE International Conference on Automation, Quality and Testing, Robotics AQTR 2010 THETA 17th edition, Cluj-Napoca, Romania, vol. III, pp. 439-444, 2010. [6] T. Coloşi, M.-L. Ungureşan, E. Dulf, R. C. Cordoş, Introduction to Analogue Modeling and Numerical Simulation with (Mpdx) and Taylor Series Distributed Parameters Processes, GALAXIA GUTENBERG Publishing house, Cluj-Napoca, 2009 , 361 pages. [7] Matlab 7.5.0 User Guide (R2007b). [8] M.-L. Ungureşan, G. Niac. Pre-equilibrium Kinetics. Modeling and Simulation, Russian Journal of Physical Chemistry, 85, 4, 2011, pp. 549-556. [9] V. Mureşan, M. Abrudean, T. Coloşi, “Modeling and Simulation of the Automatic Control System of the Residual Water Blunting Process from a Metallurgical factory”, Proceedings of 8th IEEE International Symposium on Applied Computational Intelligence and Informatics SACI 2013, Timisoara, Romania, pp. 359-364, 2013. |