Investigation of energy-optimal modes of train operation using a simulation-optimization model
Abstract
Investigation of energy-optimal modes of train operation using a simulation-optimization model
Incoming article date: 19.10.2018The article deals with the problem of optimal control of the train (OKT) from the standpoint of the modern theory of automatic control. This problem is relevant for many years, but to date it has not been completely solved, due to the large number of random factors affecting the nature of the train, as well as the development in recent years of high-speed and high-speed, as well as heavy and long-range traffic. The mathematical model of train movement and formulation of the OKT problem are presented, the classification of known methods of its solution is offered. A simulation model in Matlab/Simulink environment is developed, which allows to study different models and control laws. A metaheuristic algorithm for optimization of train operating modes using a simulation model implemented in the form of a software module in Matlab is proposed. The results of computational experiments confirming the convergence of the algorithm are presented.
Keywords: optimal control, autodriving, mathematical model, simulation model, metaheuristic algorithm