Mamdani Type Sliding Mode Fuzzy Control of Non-Affine Nonlinear Systems

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1 Citation (Scopus)

Abstract

Mamdani type PID fuzzy controllers with sliding modes to deal with non-affine nonlinear systems are proposed in this paper. The design framework relies on particle swarm optimization applied to a nonlinear process model, in order to come up with the controllers gains. The main contribution is a robust control approach based on fuzzy control and on sliding mode control using a PID sliding surface. Results from simulations and tests on a nonlinear benchmark process show the effectiveness of the proposed control approach.

Original languageEnglish
Title of host publicationProceedings: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
Pages442-448
Number of pages7
ISBN (Electronic)9781728148786
DOIs
Publication statusPublished - Oct 2019
Event45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 - Lisbon, Portugal
Duration: 14 Oct 201917 Oct 2019

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
PublisherIEEE Computer Society
Volume2019-October
ISSN (Print)1553-572X

Conference

Conference45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019
CountryPortugal
CityLisbon
Period14/10/1917/10/19

Keywords

  • Fuzzy Control
  • Nonlinear Systems
  • Particle Swarm Optimization
  • Sliding Mode Control

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  • Cite this

    Palma, L. B., Gil, P. S., Antunes, R. M., & Barbosa, Y. S. (2019). Mamdani Type Sliding Mode Fuzzy Control of Non-Affine Nonlinear Systems. In Proceedings: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society (pp. 442-448). [8926679] (IECON Proceedings (Industrial Electronics Conference); Vol. 2019-October). IEEE Computer Society. https://doi.org/10.1109/IECON.2019.8926679