Design and Implementation of GA-based Fuzzy System on FPGA CHIP

Authors:
Ching-Chang Wong;Yu-Han Lin
Affiliations:
Department of Electrical Engineering, Tamkang University, Tamsui, TaiPei Hsien, Taiwan;Department of Electrical Engineering, Tamkang University, Tamsui, TaiPei Hsien, Taiwan
Venue:
Cybernetics and Systems
Year:
2008

Citing 12
Cited 0

Digital design: principles and practices (2nd ed.)

Digital design: principles and practices (2nd ed.)
Hardware Implementation of Montgomery's Modular Multiplication Algorithm

IEEE Transactions on Computers
A self-generating method for fuzzy system design

Fuzzy Sets and Systems
GA-based Fuzzy System Design in FPGA for an Omni-directional Mobile Robot

Journal of Intelligent and Robotic Systems
Design and implementation of the tree-based fuzzy logic controller

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Tuning of a neuro-fuzzy controller by genetic algorithm

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A GA-based method for constructing fuzzy systems directly from numerical data

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
High speed flexible fuzzy hardware for fuzzy information processing

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
High-speed customizable fuzzy-logic processor: architecture and implementation

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Computer-aided design of fuzzy systems based on generic VHDL specifications

IEEE Transactions on Fuzzy Systems
A 12b general-purpose fuzzy logic controller chip

IEEE Transactions on Fuzzy Systems
Simultaneous design of membership functions and rule sets for fuzzycontrollers using genetic algorithms

IEEE Transactions on Fuzzy Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this article, a design and implementation methodology of a GA-based fuzzy system on a Field Programmable Gate Array (FPGA) chip is proposed. First, a self-generating method based on a genetic algorithm (GA) is proposed to automatically construct a high performance fuzzy system. Some simulation results of an inverted pendulum control system are presented to illustrate the efficiency of the proposed GA-based method in the fuzzy system design. Then, a fuzzy system design method by using VHSIC Hardware Description Language (VHDL) is proposed so that the fuzzy system hardware implemented on an FPGA chip has a great flexibility and a high process speed. Moreover, a friendly-used software tool is developed to automatically generate VHDL codes for the users to easily design their fuzzy system hardware based on the proposed methodology. Finally, some experimental results are presented to illustrate the validity and the applicability of the design methodology.