| Power system already more and more tend to be smart and the current detection technology is an integral part of the power system. The Current detection accuracy is closely related to safe operation of power grid. Optical current sensor with good insulation, and the advantages of strong anti-jamming capability is becoming a hot spot of research at home and abroad, is one of the future research direction in the field of sensor. The Fiber Bragg Grating(FBG) sensing system based on Giant Magnetostrictive Material(GMM) is a new attempt in the field of optical current sensing. In this paper, the main work includes:The development situation of GMM and optical sensor are introduced. On the basis of the literature of home and abroad, the hysteresis characteristics of GMM and sensing properties of FBG is combined and a GMM-FBG strain model is established.For Hysteresis nonlinear problem of GMM-FBG current sensor,A suitable classical Preisach mathematical model for this topic is chosen and an improved Preisach hysteresis model based on classic Preisach hysteresis model after analyzing the distribution function are proposed. Nonlinear genetic algorithm and particle swarm algorithm are use respectively to optimize parameters of improved Preisach model identification.The corresponding hysteresis curves are got by improved Preisach model using the identified parameters, The error curves are got by comparing the predicted curve and the experimental hysteresis curve. Through analysising the error curve, more optimal model parameters are got to make the model more accurate prediction of GMM hysteresis curve.On the basis of theoretical analysis, the corresponding sensor experimental platform is established. Through the experiment, the influence of temperature, the bias magnetic field and the prestress on the sensor performance is analysed. The hysteresis corresponding sensor system is compensated by the improved Preisach model to make the sensing system precision improved. |
PDF Full Text Request