Research On The Nonlinear Mathematical Of Hysteresis Model And Application Characteristics Of Giant Magnetostrictive Actuator

With the development of new functional materials, the emergence of a new actuator with large output force, high energy density, high reliability, high precision and fast response speed etc. For example the GMA, however, at the present stage, GMM internal complex intrinsic nonlinear and hysteresis characteristics, which makes take GMM as the core of GMA’s output displacement or force hysteresis and strong, serious nonlinear, its location accuracy is higher some key problems need to break through the practical application of GMM.In this paper, using GMA applied in the field of electro-hydraulic servo as the background, focuses on the hysteresis nonlinearity modeling of GMA and its control technology research.The work in this research comprises the following six part.The first chapter introduces the field of application of GMM and GMA and also summarizes the current situation of some identification methods of model parameters and the hysteresis of giant magnetostrictive actuator research situation at home and abroad and domestic and foreign research of the control technology of converter.The second chapter introduces the application characteristics of giant magnetostrictive material and the giant magnetostrictive actuator structure and working principle. It also briefly described some of the test system of giant magnetostrictive actuator, finally the test on the performance of GMA, based on the test results, analyzes it in different excitation current, prestressed, magnetic induction intensity, changes the output displacement hysteresis curve of the executive.The third chapter introduces the establishment of a traditional Prandtl- Ishlinskii model and inverse model, through theoretical and simulation analysis of the study of the limitation of the model application and improved PI model and inverse model is established. But the model in the case of change of GMA preloading is not very good prediction hysteresis curve, the establishment of a model based on improved PI stress related nonlinear hysteresis model. Above models are GMA established under quasi static, for its under dynamic conditions, and established a rate related PI dynamic model, and identify the parameters of the model, using the identification results and experimental results verify the correctness of the model.The forth chapter based on Jiles- Atherton hysteresis model of the GMA displacement magnetic nonlinear model, and through the improved simulated annealing algorithm and the improved generalized particle swarm algorithm for identification of model parameters optimization, and the accuracy of the identification of parameters is verified by experiment. The fifth chapter omplete control of the GMA system debugging, debugging qualified, based on the system for proportional iterative control and feedforward control based on inverse model experiment. Experimental results show that under the input frequency is lower than 60 Hz this control algorithm can effectively compensate the hysteresis curve of GMA.The sixth chapter introduces the thesis is summarized and the further researches are dicussed.