Hybrid Fuzzy Learning/Gain Adaptive Control – A Case Study for the Force Control in Drilling of Composite Materials

Y. Sheng and M. Tomizuka (USA)


Fuzzy Learning Control, Adaptive Control, Process Control


Fuzzy control of thrust force in drilling of composite ma terials is studied in this paper. A new hybrid fuzzy learn ing/gain adaptive control scheme is proposed. In this ap proach, the on-line gain adaptation and fuzzy learning con trol are coordinated together to ensure a superior control performance of the trained fuzzy controller under large pro cess gain variations. This method makes fuzzy learning control practical for complex and time-varying processes such as drilling of composite materials. Simulations are conducted to evaluate the fuzzy controllers.

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