Magnetostrictive micropositioning device with fuzzy-neural-based controller Online publication date: Fri, 07-May-2010
by Juan C. Campos Rubio, Jaime G. Duduch
International Journal of Advanced Mechatronic Systems (IJAMECHS), Vol. 2, No. 3, 2010
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.
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