Fuzzy Controller Parameters´ Proposal in Matlab Enviroment
Keywords:
fuzzy controller, regulation, Mandani, Matlab, Fuzzy Inference SystemAbstract
In this paper we deal with the creation and design of fuzzy controller using Matlab. As the founder of fuzzy theory is considered Azerbaijani Prof. Lotfi Zadeh. In his article in 1965 is first time specified term "fuzzy" [8]. Defining of Zadeh fuzzy sets is based on the efforts of experts to build multivalued logic. Multivalued logic (Lukasiewicz logic) allows to work with imprecise (vague) terms and eliminates gaps of "classical" two-valued logic that we utilized in the art since ancient times. The use of vague terms can not be avoided especially when describing the behavior of complex systems. Their exact analytical description would be technically infeasible or prohibitively complicated, and therefore for realization very expensive. Cause of fuzzy theory can also be formulated by means of the so-called Law incompatibility (incompatibility) by Druckmüller [2].
References
Cohn, N. 1957. Some aspects of tie-line bias control on interconnected power systems Am. Inst. Elect. Eng. Trans., 75 (1957), pp. 1415–1436.
Druckmüller, M. 1998. Technické aplikace vícehodnotové logiky, Ústav matematiky FS VUT Brno, 1998.
Elgerd, O.I., Fosha, C.E. 1970. Optimum megawatt-frequency control of multi-area electric energy systems IEEE Trans. Power Appl. Syst., 89 (4) (1970), pp. 556–563.
Gupta, M. 1989. Advances in fuzzy set theory and applications. Nort-Holland publishing company, 1989. ISBN neuvedené
Hrubý, D., Jamrich, M., Lukáč, O. 2005. Návrh a priama počítačová simulácia fuzzy riadiaceho systému v uzavretej slučke. In: Acta technologica agriculturae 2, ročník 8, SPU: Nitra, 2005, s. 29-32. ISSN 1335-2555.
Koprda, Š., Hrubý, D., Šesták, M. 2005. Návrh meracieho reťazca pre fuzzy riadenie ventilácie. In: Zborník z medzinárodnej vedeckej konferencie „Informačné a automatizačné technológie v riadení kvality produkcie“, Vernár-Slovenský raj, 2005, s. 52 –56. ISBN: 80-8069-577-6.
Sahu, B. K., Pati, S., Mohanty, P. K., & Panda, S. 2014. Teachinglearning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system. Applied Soft Computing Journal, 27, 240-249.
Zadeh, L.A. 1965. Fuzzy Sets. Inf. Control, 1965, s. 338-353
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2015 COMPUSOFT: An International Journal of Advanced Computer Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
©2023. COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY by COMPUSOFT PUBLICATION is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY. Permissions beyond the scope of this license may be available at Creative Commons Attribution 4.0 International Public License.
