Development of the PSO method for the determination of the dynamic response of a pyroelectric sensor

Abstract

We modeled a pyroelectric sensor by a current source connected in parallel with output impedance. The dynamic behavior of the sensor is described using a transfer function designed using the MATLAB Simulink environment. The transfer function parameters are optimized using the optimization algorithm Particle Swarm Optimization PSO implemented in the MATLAB environment. This optimization is performed from a comparison with the measured signal. The transfer function thus determined is used to determine the dynamic properties of a pyroelectric sensor. To justify the validity of the proposed approach, we used pyroelectric sensor based on PVDF.

Keywords

• pyroelectric sensor
• transfer function
• dynamic properties MATLAB/Simulink
• PSO method