An adaptive control system with self-organizing fuzzy sliding mode control strategy for micro wire-EDM machines

This paper aims to develop an adaptive control system for process monitoring, identification, and control in micro wire electrical discharge machining (wire-EDM). The proportion of short circuits in the total sparks defined as short circuit ratio is chosen as a control parameter for the adaptive con...

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Bibliographic Details
Published inInternational journal of advanced manufacturing technology Vol. 50; no. 1-4; pp. 315 - 328
Main Author Yan, Mu-Tian
Format Journal Article
LanguageEnglish
Published London Springer-Verlag 01.09.2010
Springer Nature B.V
Subjects
Adaptive control
CAE) and Design
Circuit design
Computer-Aided Engineering (CAD
Control stability
Control systems
Control systems design
Controllers
Electric discharge machining
Electric wire
Engineering
Fuzzy control
Fuzzy logic
Fuzzy systems
Industrial and Production Engineering
Mechanical Engineering
Media Management
Original Article
Process controls
Servocontrol
Short circuits
Sliding mode control
Wire
Process monitoring
Micro wire-EDM
Self-organizing fuzzy sliding mode control
Process control
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Summary:This paper aims to develop an adaptive control system for process monitoring, identification, and control in micro wire electrical discharge machining (wire-EDM). The proportion of short circuits in the total sparks defined as short circuit ratio is chosen as a control parameter for the adaptive control system. Pulse interval of each spark is adjusted in real-time according to the discrimination of gap status to improve the stability of machining operation. A self-organizing fuzzy sliding mode controller is then proposed for servo feed control. This intelligent control strategy has on-line learning capability and disturbance rejection robustness for responding to the nonlinear, stochastic, and time-varying characteristics of the micro wire-EDM process. Another fuzzy logic controller is designed to control the short circuit ratio at a pre-determined level through an on-line regulation of servo voltage for adaptive process control. Experimental results show that the developed adaptive control system results in faster machining and better machining stability than does a conventional control scheme.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-009-2481-1