Modelling and simulation of the defuzzification stage of a type-2 fuzzy controller using VHDL code

Roberto Sepúlveda, Oscar Montiel, Oscar Castillo, Patricia Melin

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

The design, and software development for coding a high-speed defuzzification stage for a type-2 fuzzy inference system (FIS) based on the average method of two type-1 FIS, and functionality tests are described in this paper. The proposed method is highly efficient in processing time as its development uses parallelism at data level and pipelining, designed specifically to be implemented in fieldprogrammable gate array (FPGA) devices. A comparative study of the results of a speed control of a gear DC motor using this proposal and the Wu-Mendel method, in an ideal nonlinear control system, and in a system with uncertain measures that were emulated by the application of different noise levels, is also presented.

Original languageEnglish
Pages (from-to)33-40
Number of pages8
JournalControl and Intelligent Systems
Volume39
Issue number1
DOIs
StatePublished - 2011

Keywords

  • High-speed type-2 fuzzy controller
  • PWM type-2 fuzzy controller
  • Type-2 fuzzy logic
  • VHDL type-2 defuzzification

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