Bouc-Wen hysteresis modeling of a piezo-ceramic actuator with membrane structure genetic algorithm

Piezo-ceramic actuators are widely used in a variety of engineering applications which require high precision positioning. However, it exhibits hysteresis nonlinearity which deteriorates positioning accuracy if no proper compensation has been given. Modeling the dynamics of piezo actuator is a prime choice for hysteresis compensation. This paper proposes the membrane structure genetic algorithm (MSGA) method to identify the parameters of Bouc-Wen model to capture the dynamic behavior of a piezo-ceramic actuator which exhibits hysteresis. Results of numerical simulations have been disclosed to illustrate the performance enhancement of MSGA over classical GA when they are applied to the parameter fitting problem of a Bouc-Wen model for experimentally acquired datasets.