研究目的
Investigating the parameter estimation problem for the equivalent admittance circuit model of piezoelectric transducers with high non-linearity near the resonance frequency.
研究成果
The proposed GA-PSO algorithm represents a feasible and promising scheme for estimating the parameters of the equivalent admittance circuit model. Simulations about some similar algorithms have also been carried out. Comparing the simulation results, the GA-PSO shows a better efficiency than others. Further, this method can be applied to the estimation of other sensor circuit models.
研究不足
The technical and application constraints of the experiments, as well as potential areas for optimization, are not explicitly mentioned in the paper.
1：Experimental Design and Method Selection:
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 PSO to GA.
2：Sample Selection and Data Sources:
The equivalent admittance circuit model of piezoelectric transducers near the resonance frequency is considered.
3：List of Experimental Equipment and Materials:
Piezoelectric transducers polarizing in the direction of thickness is considered.
4：Experimental Procedures and Operational Workflow:
The proposed GA-PSO algorithm with cascade structure is implemented where GA and PSO run alternately to search out the optimal estimated parameter values.
5：Data Analysis Methods:
Residual sum of squares reflects the magnitude of the errors between the estimated values and the actual values.
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