Parameters Identification for a Composite Piezoelectric Actuator Dynamics

Abstract

This work presents an approach for identifying the model of a composite piezoelectric (PZT) bimorph actuator dynamics, with the objective of creating a robust model that can be used under various operating conditions. This actuator exhibits nonlinear behavior that can be described using backlash and hysteresis. A linear dynamic model with a damping matrix that incorporates the Bouc-Wen hysteresis model and the backlash operators is developed. This work proposes identifying the actuator's model parameters using the hybrid master-slave genetic algorithm neural network (HGANN). In this algorithm, the neural network exploits the ability of the genetic algorithm to search globally to optimize its structure, weights, biases and transfer functions to perform time series analysis efficiently. A total of nine datasets (cases) representing three different voltage amplitudes excited at three different frequencies are used to train and validate the model. Four cases are considered for training the NN architecture, connection weights, bias weights and learning rules. The remaining five cases are used to validate the model, which produced results that closely match the experimental ones. The analysis shows that damping parameters are inversely proportional to the excitation frequency. This indicates that the suggested hysteresis model is too general for the PZT model in this work. It also suggests that backlash appears only when dynamic forces become dominant.

Optimal selection for an air suspension system on buses through a unique high level parameter in genetic algorithms

“…The application of GA method to find the optimal parameters related to vehicle dynamics has been carried out by many studies [21,22]. For example, optimizing parameters of semi-active suspension control system [23], active anti-roll bar system [24], etc.…”

“…This algorithm reflects the process of natural selection in which the healthiest individuals are selected to reproduce in order to produce the offspring of the next generations [ 20 ]. The application of GA method to find the optimal parameters related to vehicle dynamics has been carried out by many studies [ 21 , 22 ]. For example, optimizing parameters of semi-active suspension control system [ 23 ], active anti-roll bar system [ 24 ], etc.…”

High Resolution Actuators

“…In [8], the authors present an approach for identifying the model of a composite piezoelectric bimorph actuator dynamics; these actuators are characterized by very high resolution inherited from piezoelectric materials. The objective is to create a robust model that can be used under various operating conditions.…”