Determination of Railway Rolling Stock Optimal Movement Modes

Abstract

Purpose. To develop a methodology for simulating of an electromotive railway rolling stock in terms of power-optimal modes on a track with a given profile and a set motion graph. Methodology. We have used combined genetic algorithm to determine optimum modes of an electromotive railway rolling stock motion: a global search is performed by a genetic algorithm with a one-point crossover and roulette selection. At the final stage of the optimization procedure we have used Nelder-Mead method for the refinement of the optimum. Results. We have obtained that traction motor on a tramcar, while driving on a fixed site, has an excessive power of the cooling system. Its using only in the considered area allows to modernize the cooling system in the way of its power reducing, which in turn provides an opportunity to increase the overall efficiency of the electromotive railway rolling stock. Originality. For the first time, we have obtained the train motion equation in the program-oriented form. This allows to use it for determination of electromotive railway rolling stock optimal control laws according to the Hamilton-Jacobi-Bellman method. Practical value. We have made the computer program to determine optimum modes of an electromotive railway rolling stock motion. The experimental studies of program results for the track section have confirmed the adequacy of the model, which allows to solve the traffic modes optimization problem for the tram track sections and increase the overall efficiency of the electromotive railway rolling stock. References 19, figures 3. Key words: electromotive railway rolling stock, genetic algorithm, cooling system, traction motor, tramcar, control laws, optimization problem, efficiency.Разработана методика моделирования движения асинхронного тягового двигателя при движении электроподвижного состава по энергооптимальным режимам на участке пути с заданным профилем и установленным графиком движения. Определены оптимальные режимы движения электроподвижного состава на основе метода Гамильтона-Якоби-Беллмана. Определение режимов работы тягового привода предложено проводить заранее на основании решения задачи условной оптимизации его режимов. Определение оптимальных режимов работы тягового привода было проведено на основе комбинированных методов условной минимизации функции. Использование предлагаемой методики позволяет повысить общий КПД электроподвижного состава. Библ. 19, рис. 3. Ключевые слова: электроподвижной состав, генетический алгоритм, система охлаждения, тяговый двигатель, вагон трамвая, законы управления, проблема оптимизации, коэффициент полезного действия.

Model of pulsating current traction motor taking into consideration magnetic losses in steel

“…Thus, the armature current measurement error for all measurement modes did not exceed 7 %; torque measurement error was up to 6 %; the error of measuring the motor shaft speed was not more than 4 % and the error of measuring the magnetic flux did not exceed 3 %. This indicates a high reliability of the modeling results and increases the accuracy of calculations of energy-intensive modes of rolling stock [19,20].…”

Determining electrical losses of the traction drive of electric train based on a synchronous motor with excitation from permanent magnets

“…Modern trends in the development of electric rolling stock necessitate the creation of advanced energy-saving technologies for a traction electric drive [1]. One of the ways to improve energy efficiency is to decrease energy costs in the operation of a traction drive [2][3][4]. The other way is to create traction drives based on the new, promising types of electromechanical energy converters, traction engines, such as induction [2][3][4], reactive inductor [5], and synchronous motors with excitation from permanent magnets [6] (SMPM).…”