Optimization aspects in a class of fuzzy controlled servosystems

R. E. Precup, S. Preitl, J. K. Tar, M. Takács

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The paper suggests a fuzzy control solution for a class of servo systems. Simplified mathematical models of second-order integral type characterize the controlled plants. The design is done using the linear case results on the basis of the Extended Symmetrical Optimum (ESO) method and Iterative Learning Control and by the transfer of these results to the fuzzy case. The sensitivity analysis of the fuzzy control systems with respect to the parametric variations of controlled plant is performed to enable the design of a class of Mamdani PI-fuzzy controllers. Digital simulation results and real-time experimental results corresponding to a case study validate the new fuzzy control solution.

Original languageEnglish
Title of host publicationINES 2007 - 11th International Conference on Intelligent Engineering Systems, Proceedings
PublisherIEEE Computer Society
Pages235-240
Number of pages6
ISBN (Print)1424411475, 9781424411474
DOIs
Publication statusPublished - Jan 1 2007
EventINES 2007 - 11th International Conference on Intelligent Engineering Systems - Budapest, Hungary
Duration: Jun 29 2007Jul 1 2007

Publication series

NameINES 2007 - 11th International Conference on Intelligent Engineering Systems, Proceedings

Other

OtherINES 2007 - 11th International Conference on Intelligent Engineering Systems
CountryHungary
CityBudapest
Period6/29/077/1/07

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Precup, R. E., Preitl, S., Tar, J. K., & Takács, M. (2007). Optimization aspects in a class of fuzzy controlled servosystems. In INES 2007 - 11th International Conference on Intelligent Engineering Systems, Proceedings (pp. 235-240). [4283704] (INES 2007 - 11th International Conference on Intelligent Engineering Systems, Proceedings). IEEE Computer Society. https://doi.org/10.1109/INES.2007.4283704