The research on the self adaptive fuzzy control system for electric discharge machining

Author

Yun, Zhang ; Ji Ying ; Zichen, Chen ; Wenyaun Chen

Author_Institution

Dept. of Mech. Eng., Zhejiang Univ., Hangzhou, China

Volume

1

fYear

1997

fDate

28-31 Oct 1997

Firstpage

364

Abstract

A fuzzy self-adaptive EDM (electric discharge machine) control system is presented. By using fuzzy theory and applying a fuzzy control method, a detailed analysis of the gap voltage, one of the most important EDM process parameters, is made. A fuzzy rule library is obtained and a fuzzy controller is constructed based on the analysis. Self-adaptive control of the EDM process is realized by the self-adaptive regulation of the input quantization factor and the output proportional factor of the fuzzy control system. Experimental results show that this system has good self-adaptability and high reliability, which results in higher productivity

Keywords

adaptive control; control system analysis; control system synthesis; electric potential; fuzzy control; intelligent control; reliability; self-adjusting systems; spark machining; electric discharge machining; fuzzy rule library; gap voltage; input quantization factor; output proportional factor; process parameters; productivity; reliability; self-adaptability; self-adaptive fuzzy control system; Adaptive control; Adaptive systems; Control systems; Fuzzy control; Fuzzy systems; Libraries; Productivity; Programmable control; Proportional control; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.672801

Filename

672801