Control System Architecture for a Cement Mill Based on Fuzzy Logic

Authors

  • Claudiu Raul Costea University of Oradea
  • Helga Maria Silaghi University of Oradea
  • Doina Zmaranda
  • Marius Alexandru Silaghi

Keywords:

Control System Architecture (CSA), fuzzy controller, cement mill, fresh feed control, ball mill, feed change

Abstract

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/human-machine-interface/en/visualizationsoftware/wincc-flexible/Pages/Default.aspx

http://www.automation.siemens.com/mcms/simatic-controllersoftware/en/step7/Pages/Default.aspx

Published

2015-04-01

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