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Implemented Circuits of Fuzzy Inference Engine for Servo Control by using Decomposition of $\alpha$-Level Set  

Hong Jeng-pyo (부경대학교 기계공학과)
Hong Soon-ill (부경대학교 전기제어계측공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.54, no.2, 2005 , pp. 90-96 More about this Journal
Abstract
This paper presents hardware scheme of fuzzy inference engine, based on α-level set decomposition of fuzzy sets for fuzzy control of DC servo system. We propose a method which is directly converted to PWM actuating signal by a one body of fuzzy inference and defuzzification. The influence of quantity α-levels on input/output characteristics of fuzzy controller and output response of DC servo system is investigated. It is concluded that quantity α-cut 4 give a sufficient result for fuzzy control performance of DC servo system. The experimental results shows that the proposed hardware method is effective for practical applications of DC servo system.
Keywords
$\alpha$-Level Set Decomposition; Fuzzy Inference Engine; Quantity $\alpha$-Cut;
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