Feedback Linearization Using Neural Networks: Application to an Electromechanical Process

Authors:
J.R. Alique;R. E. Haber;A. Alique
Affiliations:
Institute de Automática Industrial (CSIC), Institute de Automática Industrial (CSIC), Madrid, SPAIN 28500;Institute de Automática Industrial (CSIC), Institute de Automática Industrial (CSIC), Madrid, SPAIN 28500 and Escuela Técnica Superior, Universidad Autónoma de Madrid. Ciudad U ...;Institute de Automática Industrial (CSIC), Institute de Automática Industrial (CSIC), Madrid, SPAIN 28500
Venue:
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Year:
2009

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Abstract

This study explores the use of the feedback-linearization (FBL) paradigm using artificial neural networks (ANNs) to consider a force-control problem involving a complex electromechanical system, represented here by the machining process. The main goal is to control a single output variable, cutting force, by changing a single input variable, feed rate. Performance is assessed in terms of several performance measurements. The results demonstrate that the FBL strategy with ANNs provides good disturbance rejection for the cases analysed.