Mapeamento do modelo L2P para Preisach usando o PSO

Abstract

This work proposes a new approach for the mapping of a hysteresis curve. The idea developed is based on the use of PSO (Particle Swarm Optimization) to approximate the response of two well-known hysteresis models. In this sense, the PSO seeks to obtain a polynomial expression in the form of g(x,y) that performs the mapping of the L2P Kernel model, so that its response comes close to the response of a Presaich model with the same sign of excitement. The results provide a satisfactory preliminary response according to the similarities obtained from the dinamics of the two curves where they were very close, this shows the feasibility of using PSO algorithm to deform the curve L2P Kernel to obtain another existing hysteresis model, requiring to obtain a small number of parameters in the process.