Title: Magnetostrictive micropositioning device with fuzzy-neural-based controller

Authors: Juan C. Campos Rubio, Jaime G. Duduch

Addresses: Departamento de Engenharia Mecanica, Universidade Federal de Minas Gerais, Av. Antonio Carlos 6627, Campus Pampulha, 31270-901 Belo Horizonte, MG. Brazil. ' Departamento de Engenharia Mecanica, Escola de Engenharia de Sao Carlos, Universidade de Sao Paulo, Caixa Postal 356, 13560-970 Sao Carlos, SP. Brazil

Abstract: In precision engineering, adequate performance of ultra precision machine tools depends upon the characteristics of the positioning systems. The purpose of this work is analysis and synthesis to improve the dynamic performance of micropositioning system using magnetostrictive actuators. Various control strategies are considered and evaluated to linearise the actuator|s response characteristics of microprocessor-based digital motion controllers. Fuzzy logic (FL) and artificial neural network (ANN) based motion control algorithms have been chosen, due to their advantage of not requiring a complete knowledge of a mathematical model of the controlled mechanism. They are relatively easier to implement and provide a more robust and flexible control system than traditional approaches. Experimental results show that micropositioners driven by magnetostrictive actuators have better dynamics behaviours. This allows the use of such actuators as a valid alternative for positioning in the submicrometer range.

Keywords: ultra precision machine tools; magnetostriction; magnetostrictive actuators; micropositioning; fuzzy logic; neural networks; motion control.

DOI: 10.1504/IJAMECHS.2010.033042

International Journal of Advanced Mechatronic Systems, 2010 Vol.2 No.3, pp.174 - 181

Published online: 07 May 2010 *

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