Control System Architecture for a Cement Mill Based on Fuzzy Logic
Keywords:
Control System Architecture (CSA), fuzzy controller, cement mill, fresh feed control, ball mill, feed changeAbstract
This paper describes a control system architecture for cement milling that uses a control strategy that controls the feed flow based on Fuzzy Logic for adjusting the fresh feed. Control system architecture (CSA) consists of: a fuzzy controller, Programmable Logic Controllers (PLCs) and an OPC (Object Linking Embedded for Process Control) server. The paper presents how a fuzzy controller for a cement mill is designed by defining its structure using Fuzzy Inference System Editor [1]. Also,  the paper illustrates the structure of the implemented control system together with the developed PLC program and its simulation. Finally, the dynamic behavior of the cement mill is simulated using a MATLAB-Simulink scheme and some simulation results are presented.
References
Costea C.R, Silaghi H., Zmaranda D., Silaghi A.M.(2014),Control of Feed Flow Rate with Fuzzy Logic for a Cement Mill, Abstracts of ICCCC Papers, 5th International Conference on Computers, Communications and Control, ICCCC2014, Baile Felix, Romania, ISSN 1844- 4334, 4:39.
Dale S., Silaghi H., Costea C.R. (2013), Procedural and Software Development of a Liapunov-based Stability Analysis Method for Interpolative-type Control Systems, Proceedings of the 17th International Conference on System Theory, Control and Computing, ICSTCC, 11-13 October 2013, Sinaia, Romania, ISBN 978-1-4799-2228-4:156-159.
Zhenbin D., Lin T.C., Balas V.E.(2012), A New Approach to Nonlinear Tracking Control Based on Fuzzy Approximation, International Journal of Computers Communications & Control, ISSN 1841-9836, 7(1): 61-72.
Costea C.R., Silaghi H., Rohde U., Silaghi A.M. (2011), Grinding Circuit Control Using Programmable Logic Controllers, Recent Advances in Signal Processing, Computational Geometry and Systems Theory, Proceedings of the 11th WSEAS International Conference on Systems Theory and Scientific Computation, August 23-25, 2011, Florence, Italy, 48-52.
Tamir D.E., Kandel A.(2011), Axiomatic Theory of Complex Fuzzy Logic and Complex Fuzzy, International Journal of Computers Communications & Control, ISSN 1841-9836, 6(3):562-576.
Costea C.R., Abrudean M., Silaghi H.M., Silaghi M.A.(2010), Control of Flow Rate with Fuzzy Logic for Ball Mill, Proceedings of 2010 IEEE International Conference on Automation, Quality and Testing, Robotics, THETA 17th edition, May 28-30, 2010, Cluj-Napoca, 153-156.
Wong L.K., Tang F.H.F., Tam P.K.S.(1998), Combination of sliding-mode controller and PI controller using fuzzy controller, Proceedings of IEEE International Fuzzy Conference, Anchorage, AK, 296-301.
Wong L.K., Tang F.H.F., Tam P.K.S.(1997), The design of Stable Fuzzy Logic Controllers with Combination of Conventional Controllers, Proceedings of ISIE.97, Guimaraes, Portugal, 3: 993-997.
http://www.automation.siemens.com/mcms/simatic-controllersoftware/en/step7/Pages/Default.aspx
Published
Issue
Section
License
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.