Abstract
This paper presents the use of modern numerical methods such as Fuzzy Logic Control for control of fast technological processes with sampling period 0.01 [s] or less. The paper presents a real application of the Linguistic Fuzzy-Logic Control, developed at the University of Ostrava for the control of magnetic levitation model in the laboratory at the Institute for Research and Applications of Fuzzy Modeling and Department of Informatics and Computers, Faculty of Science. This technology and real models are also used as a background for problem-oriented teaching realized at the department for master students and their collaborative as well as individual final projects. The paper shows how the used technology can help people easily describe the control strategy from the technological control strategy point of view.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)
Zadeh, L.A., Kacprzyk, J.: Fuzzy logic for the management of uncertainty. Wiley, New York (1992)
Mamdani, E., Assilian, S.: An experiment in linguistic synthesis with a fuzzy logic control. Int. J. Man-Mach. Stud. 7, 1–13 (1975)
Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. 15, 116–132 (1985)
Novák, V.: Linguistically oriented fuzzy logic control and its design. Int. J. Approximate Reasoning 12, 263–277 (1995)
Novák, V. Perfilieva, I.: Evaluating linguistic expressions and functional fuzzy theories in fuzzy logic. In: Zadeha, LA., Kacpryk, J. (eds.). Computing with Words in Information/Intelligent Systems, vol. 1, pp. 383–406. Springer, Heidelberg (1999)
Novák, V.: Genuine linguistic fuzzy logic control: powerful and successful control method. In: Hüllermeier, E. and Kruse, R. and Hoffmann, F. (eds.). Computational Intelligence For Knowledge-Based Systems Design, pp. 634–644. Springer, Berlin (2010)
HUMUSOFT Web information system 2012 (on-line). Cite 10 Jan 2013. Available on web. http://www.humusoft.cz/produkty/models/ce152/ (2012)
Takosoglu, J.E., Laski, P.A., Blasiak, S.: A fuzzy logic controller for the positioning control of an electro-pneumatic servo-drive. J. Syst. Control. Eng. 226(10), 1335–1343 (2012)
Godoy, W.F., Da Silva, I.N., Goedtel, A., Palácios, R.H.C.: Fuzzy logic applied at industrial roasters in the temperature control. In: 11th IFAC Workshop on Intelligent Manufacturing Systems, IMS 2013, Sao Paulo, Brazil, pp. 450–455 (2013)
Acknowledgements
This work was supported by the European Regional Development Fund in the IT4Innovations Centre of Excellence project (CZ.1.05/1.1.00/02.0070) and during the completion of a Student Grant (SGS15/PřF/2014) with student participation, supported by the Czech Ministry of Education, Youth and Sports.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Farana, R. (2014). Application of Linguistic Fuzzy-Logic Control in Technological Processes. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Silhavy, P., Prokopova, Z. (eds) Modern Trends and Techniques in Computer Science. Advances in Intelligent Systems and Computing, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-319-06740-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-06740-7_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06739-1
Online ISBN: 978-3-319-06740-7
eBook Packages: EngineeringEngineering (R0)