The structure analysis and design of a new self-optimizing fuzzy controller based on Nelder-Mead simplex method

Yang Lei*, Xiangyang Liu, Ningfei Wang, Feng Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With analyzing the shortcomings in the conventional fuzzy controllers that the steady state errors and its changing rate cannot be eliminated, as well as the good dynamic characteristics and steady-state properties cannot be simultaneously obtained, a new kind of self-optimizing fuzzy controller, which utilizes Nelder-Mead simplex method to automatically optimize the quantifying factor, scaling factor and integral tuning factor is designed and implemented in MATLAB environment. The simulation results indicate that the controller has strong anti-jamming capacity and fairly good accuracy in its static and dynamic control performances.

Original languageEnglish
Title of host publicationPEAM 2011 - Proceedings
Subtitle of host publication2011 IEEE Power Engineering and Automation Conference
Pages136-139
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 IEEE Power Engineering and Automation Conference, PEAM 2011 - Wuhan, China
Duration: 8 Sept 20119 Sept 2011

Publication series

NamePEAM 2011 - Proceedings: 2011 IEEE Power Engineering and Automation Conference
Volume3

Conference

Conference2011 IEEE Power Engineering and Automation Conference, PEAM 2011
Country/TerritoryChina
CityWuhan
Period8/09/119/09/11

Keywords

  • Nelder-Mead simplex method
  • fuzzy control
  • parameters self-optimizing
  • simulation

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