Study on hysteresis model of giant magnetostrictive sensing actuator based on neural network

Based on the coupling relationship between Joule effect and Villari effect of the giant magnetostrictive materials, it proposed a giant magnetostrictive sensing actuator which used induced electromotive force generated by Villari effect and Faraday effect to drive giant magnetostrictive materials occurring Joule effect and generating strain. Its structure and working principle were presented herein. Meanwhile, in order to solve the hysteresis characteristics of the material in giant magnetostrictive sensing actuator, hysteresis loop under different pre-tightening force and maximum working current were measured. Moreover, it put forward establishing the magnetization hysteresis model of the giant magnetostrictive sensing actuator by BP neural networks. The calculation results show that the model can describe hysteresis characteristics under arbitrary pre-tightening force and maximum working current well. It provides evidence for hysteresis compensation of giant magnetostrictive sensing actuator.