Methodology to simplify the tuning process of self-organizing fuzzy logic controllers

  • Authors:

  • M. Murad;Ka C. Cheok;M. Das

  • Affiliations:

  • Electrical and Computer Engineering Department, Oakland University, Rochester Hills, MI;Electrical and Computer Engineering Department, Oakland University, Rochester Hills, MI;Electrical and Computer Engineering Department, Oakland University, Rochester Hills, MI

  • Venue:
  • INES'09 Proceedings of the IEEE 13th international conference on Intelligent Engineering Systems
  • Year:
  • 2009

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Abstract

The tuning process of Fuzzy Logic Controllers (FLCs) through trial-and-error is usually a tedious and time-consuming task. The significant amount of computation imposed by current techniques used in self organized FLCs coupled with the need for a shortened development cycle in today's fast manufacturing environment, make existing methods practically obsolete. This paper introduces and demonstrates a methodology to simplify the tuning process of self organized FLC. Through identifying what will be described as core membership functions MFs, limiting the tuning process to core MFs, utilizing knowledge from domain experts, and mathematically derive other important MFs from core MFs once the tuning is completed, it will be demonstrated in this paper that the tuning process of FLCs can be greatly simplified.