Shape Memory Alloy (SMA) actuators have been used in a wide range of applications along the past decades. In fact, due to their good force to mass ratio, good strain recovery capabilities, even when subjected to high mechanical loadings, and noiseless movements, they have been greatly used in applications raging from biomedical engineering to robotic joints and vibration control of architectonic structures, surpassing even electrical machines in applications where linear movements are required. However, even with all the benefits of such class of materials, achieving precise position control by making use of these actuators is quite challenging due mainly to the difficulty in estimating their parameters, and the variation of such parameters with usage and environmental conditions. Taking all these points into account, the present paper proposes to investigate the problem of identifying a linear dynamic model to a plant composed both by a SMA wire actuator and a flexible beam whose fixed edge deformation is the control target. In order to identify the plant's model, it was applied Minimum Square technique. First and second order models that better fitted the response of the open-loop plant were pursued, and classical control strategies approaches, such P, PI and PID, were engaged in order to check the controllability of the closed-loop system.
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