Performance enhancement of fuzzy logic controller using robust fixed point transformation

Adrienn Dineva, A. Várkonyi-Kóczy, J. Tar, Vincenzo Piuri

Research output: Conference contribution

Abstract

Despite its excellent performance as a controller for linear and non-linear systems, the fuzzy logic controller has certain limitations. For instance, large-scale complex fuzzy systems like multi-input, single-output, or multi-output systems are used in various applications with large number of rules. Furthermore, the results also depend on the selected membership functions, etc. This paper presents a novel framework that instead of reducing the number of rules for a fuzzy logic controller, combines it with a fixed point transformation based adaptive control. The adopted approach is based on the Mamdani-type fuzzy controller and enhanced by the Sigmoid Generated Fixed Point Transformation control strategy to cope with modeling inaccuracies and external disturbances that can arise. The general procedure is applied to a nonlinear Kapitza pendulum. Numerical simulations are validating the applicability of the proposed scheme and demonstrating the controller’s performance.

Original languageEnglish
Title of host publicationRecent Global Research and Education: Technological Challenges - Proceedings of the 15th International Conference on Global Research and Education Inter-Academia 2016
PublisherSpringer Verlag
Pages411-418
Number of pages8
Volume519
ISBN (Print)9783319464893
DOIs
Publication statusPublished - 2017
Event15th International Conference on Global Research and Education, INTER-ACADEMIA 2016 - Warsaw, Poland
Duration: szept. 26 2016szept. 28 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume519
ISSN (Print)21945357

Other

Other15th International Conference on Global Research and Education, INTER-ACADEMIA 2016
CountryPoland
CityWarsaw
Period9/26/169/28/16

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Dineva, A., Várkonyi-Kóczy, A., Tar, J., & Piuri, V. (2017). Performance enhancement of fuzzy logic controller using robust fixed point transformation. In Recent Global Research and Education: Technological Challenges - Proceedings of the 15th International Conference on Global Research and Education Inter-Academia 2016 (Vol. 519, pp. 411-418). (Advances in Intelligent Systems and Computing; Vol. 519). Springer Verlag. https://doi.org/10.1007/978-3-319-46490-9_55