Identification of Electric Drives of Port Reloading Cars

Development of neural­network and fuzzy models of multimass electromechanical systems

“…These models do not take into consideration all factors that influence the dynamic processes in multimass systems. Studies [4][5][6][7][8][9][10][11][12][13][14] tackle the issues of improving accuracy of identification of parameters of multimass system models. A method for identifying parameters of the mechanical component of the electromechanical system with many masses and elastic connections and viscous friction between them is given in [4].…”

“…However, it was established by studies that the method based on genetic algorithms makes it possible to identify parameters with accuracy sufficient for practical purposes but only for a simplified linear mathematical model. An analysis of methods for identification of dynamic systems in relation to electric drives of port transshipment machines which are complex electromechanical systems with mechanical equipment containing elements with elastic connections is presented in [6]. Peculiarities of these systems which require taking into consideration gaps in gear gears, elasticity in shafts, change of moments of inertia in gear rims and stiffness of elastic elements in couplings when solving problems of modeling and identification.…”