In this paper, an intelligent modeling strategy for thrust force in drilling process is developed. Neural network models and a fuzzy switching strategy are presented to deal with the gain variation problem due to transitions from one drilling stage to another. Gain variation due to drill wear and the related modeling strategy are studied. Simulation and experimental results show that the proposed model works well over a wide operating range.

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