International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Very High-speed Integer Fuzzy Controller Using VHDL

  • Lee Sang-Gu (Department of Computer Engineering, Hannam University) ;
  • Carpinelli John D. (Department of Electrical and Computer Engineering, NJIT)
  • Published : 2005.09.01
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Abstract

For high-speed fuzzy control systems, an important problem is the improvement of speed for the fuzzy inference, particularly in the consequent part and the defuzzification stage. This paper introduces an algorithm to map real values of the fuzzy membership functions in the consequent part onto an integer grid, as well as a method of eliminating the unnecessary operations of the zero items in the defuzzification stage, allowing a center of gravity method to be implemented with only integer additions and one integer division. A VHDL implementation of the system is presented. The proposed system shows approximately an order of magnitude increase in speed as compared with conventional methods while introducing only a minimal error and can be used in many fuzzy controller applications.

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References

  1. E. S. Angel, Interactive Computer Graphics, 3rd ed., Addison-Wesley, Boston, MA, USA, 2002
  2. I. Batroune, A. Barriga, Sanchez-Solano, G. J. Jimenez-Fernandez, and D. R. Lopez, Microelectronic Design of Fuzzy Logic-Based Systems, CRC Press, New York, 2000
  3. J. E. Bresenham, 'Incremental line compaction,' The Computer Journal (1982) 116-120
  4. A. M. Ibrahim, Fuzzy Logic for Embedded Systems Applications, Elsevier, 2004
  5. F. Marcelloni and M. Aksit, 'Fuzzy logic-based object-oriented methods to reduce quantization error and contextual bias problems in software development,' Fuzzy Sets and Systems 145 (2004) 57-80 https://doi.org/10.1016/j.fss.2003.10.005
  6. Z. Salcic, 'High-speed Customizable Fuzzy-Logic Processor: Architecture and Implementation,' IEEE Trans. Systems, Man, & Cybernetics ? Part A 31 (6) (2001) 731-737 https://doi.org/10.1109/3468.983430
  7. J. Yen and R. Langari, Fuzzy Logic: Intelligence, Prentice Hall, Englewood Cliffs, NJ, USA, 1999