Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Information Sciences: an International Journal
Hierarchical Fuzzy Control for C-Axis of CNC Turning Centers Using Genetic Algorithms
Journal of Intelligent and Robotic Systems
ICCS '02 Proceedings of the International Conference on Computational Science-Part III
Advances in Engineering Software
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
An architecture for adaptive fuzzy control in industrial environments
Computers in Industry
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In this paper a fuzzy-control system has been designed, implemented and embedded in an open CNC. The integration process, design steps and results of applying an embedded fuzzy-control system are shown through the example of real machining operations. The controller uses internal CNC signals (i.e. spindle-motor current) that are gathered and mathematically processed by means of an integrated application. The results show that, at least in rough milling operations, internal CNC signals can double as an intelligent, sensorless control system. Actual industrial tests show a higher machining efficiency (i.e. in-process time is reduced by 10% and total estimated savings the system would provide are about 78%).