Adaptive fuzzy logic controller for DC-DC converters


ELMAS Ç., DEPERLİOĞLU Ö., SAYAN H. H.

EXPERT SYSTEMS WITH APPLICATIONS, vol.36, no.2, pp.1540-1548, 2009 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 36 Issue: 2
  • Publication Date: 2009
  • Doi Number: 10.1016/j.eswa.2007.11.029
  • Journal Name: EXPERT SYSTEMS WITH APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1540-1548
  • Keywords: DC-DC converters, Fuzzy logic controller, Adaptive fuzzy logic controller, IMPLEMENTATION, MODEL
  • Gazi University Affiliated: Yes

Abstract

This paper introduces a complete design method to construct an adaptive fuzzy logic controller (AFLC) for DC-DC converter. Ill a conventional fuzzy logic controller (FLC), knowledge oil the system supplied by all expert is required for developing membership functions (parameters) and control rules. The proposed AFLC, oil the other hand, do not required expert for making parameters and control rules. Instead, parameters and rules are generated using a model data file, which contains summary of input-output pairs. The FLC use Mamdani type fuzzy logic controllers for the defuzzification strategy and inference operators. The proposed controller is designed and verified by digital computer simulation and then implemented for buck, boost and buck-boost converters by using all 8-bit microcontroller. (c) 2007 Elsevier Ltd. All rights reserved.