Optimal power conversion of standalone wind energy conversion systems using fuzzy adaptive control

Hoa M. Nguyen, D. Subbaram Naidu

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

1 Scopus citations

Abstract

This chapter presents an advanced control technique to deal with the maximum power conversion problem of a standalone Wind Energy Conversion Systems (WECS) with Permanent Magnet Synchronous Generators (PMSG). The proposed method, which is different from traditional Maximum Power Point Tracking (MPPT) methods, is based on a fuzzy adaptive control scheme in which the adaptation is obtained from the Lyapunov analysis and carried out by the fuzzy logic technique. The superiority of the advanced control technique is shown by numerical simulations with comparison between the proposed controller's performance and a nonlinear feedback linearization controller's performance.

Original languageEnglish (US)
Title of host publicationIAENG Transactions on Engineering Technologies - Special Issue of the World Congress on Engineering and Computer Science 2012
PublisherSpringer- Verlag
Pages51-66
Number of pages16
ISBN (Print)9789400768178
DOIs
StatePublished - Jan 1 2014
EventWorld Congress on Engineering and Computer Science, WCECS 2012 - San Francisco, CA, United States
Duration: Oct 24 2012Oct 26 2012

Publication series

NameLecture Notes in Electrical Engineering
Volume247 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

OtherWorld Congress on Engineering and Computer Science, WCECS 2012
CountryUnited States
CitySan Francisco, CA
Period10/24/1210/26/12

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Keywords

  • Fuzzy adaptive control
  • Lyapunov analysis
  • Nonlinear feedback linearization control
  • Optimal power conversion
  • Permanent magnet synchronous generator
  • Standalone wind energy conversion system.

Cite this

Nguyen, H. M., & Naidu, D. S. (2014). Optimal power conversion of standalone wind energy conversion systems using fuzzy adaptive control. In IAENG Transactions on Engineering Technologies - Special Issue of the World Congress on Engineering and Computer Science 2012 (pp. 51-66). (Lecture Notes in Electrical Engineering; Vol. 247 LNEE). Springer- Verlag. https://doi.org/10.1007/978-94-007-6818-5_5