Parameter Estimation of Piezoelectric Transducers Circuit Model Using GA-PSO Algorithm

Abstract

The parameters estimation problem for the equivalent admittance circuit model of piezoelectric transducers with high non-linearity near the resonance frequency is studied. A novel Genetic-Particle Swarm Optimization (GA-PSO) algorithm with cascade structure is proposed. The variance of fitness value of population as a criterion is given to evaluate the population convergence, and the population convergence is used as an adaptive switching strategy of Particle Swarm Optimization(PSO) to Genetic Algorithm(GA). The proposed GA-PSO method can also be used for estimating parameters of others. Simulation results are provided to demonstrate the feasibility. Comparison of the proposed GA-PSO method with the existing method is given, which shows that the GA-PSO alaorithm is more efficient.