Modeling and control for giant magnetostrictive actuators with rate-dependent hysteresis

The rate-dependent hysteresis in giant magnetostrictive materials is a major impediment to the application of such material in actuators. in this paper,a relevance vector machine (rvm) model is proposed for describing the hysteresis nonlinearity under varying input current. it is possible to construct a unique dynamic model in a given rate range for a rate-dependent hysteresis system using the sinusoidal scanning signals as the training set input signal. subsequently,a proportional integral derivative (pid) control scheme combined with a feedforward compensation is implemented on a giant magnetostrictive actuator (gma) for real-time precise trajectory tracking. simulations and experiments both verify the effectiveness and the practicality of the proposed modeling and control methods. © 2013 ping liu et al.