Methodology to design fuzzy logic controller for soft-core embedded into FPGA

Roberto Sepúlveda, Oscar Montiel-Ross, Jorge Quiñones

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

In this paper, the methodology for the design of fuzzy controllers for softcore processors, such as the Xilinx Microblaze embedded in the VIRTEX5 FPGA, is proposed to regulate the angular position of the axes of an experimental platform. The platform uses servomotors to control the rotational movements of the X-Y-Z axes, this with respect to the earth horizon. The angular position is feedback using three inclinometers sensors based on MEMS technology with SPI interface. The desired position is regulated using three independent fuzzy PD+I controllers, which use the error and change of error as input signals. The proposed methodology consists in the design and evaluation of the fuzzy controllers using the Fuzzy Logic Toolbox of Matlab.

Original languageEnglish
Title of host publicationRecent Advances on Hybrid Intelligent Systems
EditorsOscar Castillo, Patricia Melin, Oscar Castillo, Patricia Melin, Janusz Kacprzyk
Pages89-96
Number of pages8
DOIs
StatePublished - 2013

Publication series

NameStudies in Computational Intelligence
Volume451
ISSN (Print)1860-949X

Keywords

  • FPGA
  • Fuzzy controllers
  • Soft-core

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