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Internal Model Control Based on a Neurofuzzy System for Network Applications. A Case Study on the High-Performance Drilling Process

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2 Author(s)
Gajate, A.M. ; Inst. de Autom. Ind., Spanish Council for Sci. Res., Madrid ; Guerra, R.E.H.

This paper presents the design and implementation of a neurofuzzy system for modeling and control of a high-performance drilling process in a networked application. The neurofuzzy system considered in this work is an adaptive-network-based fuzzy inference system (ANFIS), where fuzzy rules are obtained from input/output data. The design of the control system is based on the internal model control paradigm. The results obtained are significant both in simulation as well as the real-time application of networked control of the cutting force during high-performance drilling processes.

Published in:

Automation Science and Engineering, IEEE Transactions on  (Volume:6 ,  Issue: 2 )

Date of Publication:

April 2009

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