DETERMINATION OF RAILWAY ROLLING STOCK OPTIMAL MOVEMENT MODES
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...
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| Дата: | 2017 |
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| Автори: | , , |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine”
2017
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| Онлайн доступ: | http://eie.khpi.edu.ua/article/view/2074-272X.2017.6.04 |
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| Назва журналу: | Electrical Engineering & Electromechanics |
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Electrical Engineering & Electromechanics| id |
eiekhpieduua-article-116360 |
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eiekhpieduua-article-1163602017-12-27T16:15:32Z DETERMINATION OF RAILWAY ROLLING STOCK OPTIMAL MOVEMENT MODES ОПРЕДЕЛЕНИЕ ОПТИМАЛЬНЫХ РЕЖИМОВ ДВИЖЕНИЯ РЕЛЬСОВОГО ЭЛЕКТРОПОДВИЖНОГО СОСТАВА Petrenko, A. N. Liubarskiy, B. G. Pliugin, V. E. electromotive railway rolling stock genetic algorithm cooling system traction motor tramcar control laws optimization problem efficiency 629.429.3 621.313 электроподвижной состав генетический алгоритм система охлаждения тяговый двигатель вагон трамвая законы управления проблема оптимизации коэффициент полезного действия 629.429.3 621.313 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. 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. National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine” 2017-11-27 Article Article application/pdf http://eie.khpi.edu.ua/article/view/2074-272X.2017.6.04 10.20998/2074-272X.2017.6.04 Electrical Engineering & Electromechanics; No. 6 (2017); 27-31 Электротехника и Электромеханика; № 6 (2017); 27-31 Електротехніка і Електромеханіка; № 6 (2017); 27-31 2309-3404 2074-272X en http://eie.khpi.edu.ua/article/view/2074-272X.2017.6.04/111374 Copyright (c) 2017 A. N. Petrenko, B. G. Liubarskiy, V. E. Pliugin https://creativecommons.org/licenses/by-nc/4.0 |
| institution |
Electrical Engineering & Electromechanics |
| collection |
OJS |
| language |
English |
| topic |
electromotive railway rolling stock genetic algorithm cooling system traction motor tramcar control laws optimization problem efficiency 629.429.3 621.313 электроподвижной состав генетический алгоритм система охлаждения тяговый двигатель вагон трамвая законы управления проблема оптимизации коэффициент полезного действия 629.429.3 621.313 |
| spellingShingle |
electromotive railway rolling stock genetic algorithm cooling system traction motor tramcar control laws optimization problem efficiency 629.429.3 621.313 электроподвижной состав генетический алгоритм система охлаждения тяговый двигатель вагон трамвая законы управления проблема оптимизации коэффициент полезного действия 629.429.3 621.313 Petrenko, A. N. Liubarskiy, B. G. Pliugin, V. E. DETERMINATION OF RAILWAY ROLLING STOCK OPTIMAL MOVEMENT MODES |
| topic_facet |
electromotive railway rolling stock genetic algorithm cooling system traction motor tramcar control laws optimization problem efficiency 629.429.3 621.313 электроподвижной состав генетический алгоритм система охлаждения тяговый двигатель вагон трамвая законы управления проблема оптимизации коэффициент полезного действия 629.429.3 621.313 |
| format |
Article |
| author |
Petrenko, A. N. Liubarskiy, B. G. Pliugin, V. E. |
| author_facet |
Petrenko, A. N. Liubarskiy, B. G. Pliugin, V. E. |
| author_sort |
Petrenko, A. N. |
| title |
DETERMINATION OF RAILWAY ROLLING STOCK OPTIMAL MOVEMENT MODES |
| title_short |
DETERMINATION OF RAILWAY ROLLING STOCK OPTIMAL MOVEMENT MODES |
| title_full |
DETERMINATION OF RAILWAY ROLLING STOCK OPTIMAL MOVEMENT MODES |
| title_fullStr |
DETERMINATION OF RAILWAY ROLLING STOCK OPTIMAL MOVEMENT MODES |
| title_full_unstemmed |
DETERMINATION OF RAILWAY ROLLING STOCK OPTIMAL MOVEMENT MODES |
| title_sort |
determination of railway rolling stock optimal movement modes |
| title_alt |
ОПРЕДЕЛЕНИЕ ОПТИМАЛЬНЫХ РЕЖИМОВ ДВИЖЕНИЯ РЕЛЬСОВОГО ЭЛЕКТРОПОДВИЖНОГО СОСТАВА |
| description |
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. |
| publisher |
National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine” |
| publishDate |
2017 |
| url |
http://eie.khpi.edu.ua/article/view/2074-272X.2017.6.04 |
| work_keys_str_mv |
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| first_indexed |
2024-06-01T14:38:48Z |
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2024-06-01T14:38:48Z |
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