Self-sensing model of low-frequency magnetostrictive composites actuator based on Jiles-Atherton theory

Abstract

Giant magnetostrictive powder composites (GMPCs) have important applications in electric current sensing, stress sensing, vibration damping, actuation, health monitoring and other fields. Most of the researches discussed the actuation or sensing function of GMPCs merely. In this paper, GMPCs based actuator with self-sensing function is proposed to realize direct measurement of the deformation amplitudes of the actuator in low frequency, through monitoring the voltage signal of the driving circuit. It also means the actuator can be used as a compressive stress and magnetostriction sensor. The self-sensing actuator avoids the dependence on extra sensors for actuation detection, which complements the self-sensing technique in GMPC-based actuators. It is helpful not only in the designing and controlling of self-sensing applications in actuators, but also in expanding the applications of GMPCs in the field of integrated devices.

Experimental study on synchronous detection of output force in a self-sensing giant magnetostrictive actuator

“…The above studies are based on the Villari effect caused by dynamic force to realize self-sensing stress, but do not involve the detection of static force. Chen et al [21] developed a self-sensing actuator based on magnetostrictive powder composites to detect the low-frequency displacement output by extracting the voltage signal of its driving circuit. Recent work [22] proposed a self-sensing actuator based on the variable stiffness effect (i.e.…”