The paper is devoted to the identification of parameters of a controlled magneto-rheological (MR) damper model and the experimental verification of the damper model. The device model was developed in the form of a rheological structure. For numerical studies, a mathematical model describing the phenomena occurring in the damper was developed. The paper presents the results of simulation and experimental studies of the properties of the controlled MR damper.The parameters of the MR damper model determined in the identification using the selected genetic algorithm show the greatest convergence of simulation results with experimental studies. The influence of the population size and the defined search spaces of the genetic algorithm solution on the results of the identification process was analyzed.
THE ANALYSIS OF THE INFLUENCE OF CHOSEN PARAMETERS OF GENETIC ALGORITHM IN IDENTIFICATION PROBLEM OF THE MR DAMPER MODEL
Abstract
In this paper, a mathematical model of a magneto-rheological damper is presented. Moreover, identification of model parameters is described and compared with results of direct experiment. Device model was developed as a rheological structure. Set of mathematical equations was used to describe the phenomena occurring in the MR damper. In this paper are also presented results of numerical and experimental studies. Parameters of the damper model MR appointed in the identification with the use of the chosen genetic algorithm show the greatest convergence of simulation results with experimental research. The influence of the population size and the search space of solution of the genetic algorithm on results of the identification was analysed. (…)
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Source: Logistyka Magazine