Research on Self-Sensing Signal Identification and Extraction Technology of Giant Magnetostrictive Actuator

Abstract

To realize the closed-cycle control of the giant magnetostricitive accurate driver sensorless, it must make the effective identification and precise extraction to the self-sensing signal of the driver. Based on the characteristic of self-permeability change of the magnetostricitive material under the effect of the external loading, establishing the electromagnetic model which can reflect the dynamic feature of the driver and the bridge circuit analysis model of GMM self-sensing driver. According to the established eletromagnetic and mechanical models, it proposes a kind of new self-sensing signal extraction technology, to make the driving function and self-sensing function to be realized by using a coil. Besides, it presents the schematic circuit diagram and analyzes the working principle of the circuit. The research of the experiment indicates that the circuit designed can successfully detect the variation of the displacement of the driver.