Friction identification with genetic algorithms
Abstract
In this paper, an identification of the function part of the analytical model of the movement of a mass along vertical guide way is made. Indeed, knowledge of friction parameters is necessary to detect wear or mechanical failure. Because of the non linearity the identification is made using Genetic Algorithms (GA). After many simulations, the proposed approach is tested with the recorded experimental data from a test bed.
