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Article title PRINCIPLES OF DESIGN AND SIMULATION MODELING OF SYSTEMS OF ELECTRIC ROLLING STOCK AUTOMATIC DRIVING
Authors K.I. Yurenko, E.I. Fandeev
Section SECTION III. SAFETY OF COMPLEX SYSTEMS
Month, Year 08, 2016 @en
Index UDC 621.337.1:681.326.3
DOI 10.18522/2311-3103-2016-8-88102
Abstract The article considers the principles of design of railway rolling stock automatic driving sys-tems. The most widespread class of such systems in our country is the autonomous on-board au-tomatic driving systems. Their implementation and application allow increasing the safety and energetic efficiency of rail transport, improving the working conditions of locomotive crews. Ana-lyzed are the history of development and structural functional schemes of these systems. Considered are the programmed devices of automatic driving, which include one to three programs of traffic, calculated previously in the laboratory, and also the modern dual circuit systems comprising the speed controller, the time of motion controller and the program block assuming an implementation of the proactive traction calculation on-board in real time. A formal statement of the optimal control problem for the train motion is presented in a vector form. The most common optimality criterion in this problem is the minimum power consumption on traction. Shown are the main approaches proposed by different scientific schools, i.e. the classical calculus of variations, maximum principle and dynamic programming. Their advantages and disadvantages are marked. Shown is the graph of the allowable shifts of the train motion optimal regimes. We propose an approach to the study of on-board automatic driving which is based on the execution of computational experiments with simulation model. This model is developed by the authors in the environment of visual block-oriented modeling Simulink in the matrix system of computer mathematics Matlab and allows investigating the algorithms of automatic driving trains with a view of their improvement. Its structure and an example of the train motion curve calculation are presented.

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Keywords Autodriver; rolling-stock; energy optimal control; program of motion; structural-functional scheme; soft-hardware complex; simulation modeling.
References 1. Baranov L.A. [i dr]. Mikroprotsessornye sistemy avtovedeniya elektropodvizhnogo sostava [Microprocessor system of automatic electric rolling stock], ed. by L.A. Baranova. Moscow: Transport, 1990, 272 p.
2. Donskoy A.L., Zav'yalov E.E. Sistemy avtovedeniya i registratsii dlya elektrovozov passazhir-skogo dvizheniya [Automatic driving system for electric locomotives for passenger transporta-tion], Zheleznodorozhnyy transport [Railway Transport], 2005, No. 9, pp. 9-12.
3. Fujikura, Nohomi, Yasunobu et. al. Automatic Train Operation Method, The Proceedings of The Inst.of Electrical Engineers of Japan, 1977, pp. 2205-2206.
4. Ning B. et. al. Advanced train control systems. UK: WITPress, 2010, 153 p.
5. Yurenko K.I., Yurenko I.K. Sistemy avtovedeniya elektropodvizhnogo sostava. Printsipy postroeniya i varianty realizatsii [Automatic driving system of electric rolling stock. The prin-ciples of construction and realization], Vestnik Vostochnoukrainskogo nats. un-ta im. Vl. Dalya [Bulletin of East Ukrainian national University named after Volodymyr Dahl], 2008, No. 5 (123), Part 2, pp. 68-70.
6. Yurenko K.I. Puti sovershenstvovaniya bortovykh sistem avtovedeniya lokomotivov [Ways of improving on-Board systems of the automatic train locomotives], Akademicheskie fundamen-tal'nye issledovaniya molodykh uchenykh Rossii i Germanii v usloviyakh global'nogo mira i novoy kul'tury nauchnykh publikatsiy: Sb. mater. mezhdunar. molodezh. konf [Academic fun-damental research of young scientists of Russia and Germany in a global world and a new cul-ture of scientific publications: proceedings of international youth conference]. Novocherkassk, 4-5 October 2012. YuRGTU (NPI), LIK, 2012, pp. 404-406.
7. Rozenberg E.N., Astrakhan V.I. Zadachi sistemy upravleniya i obespecheniya bezopasnosti dvizheniya poezdov (SUOBDP) po informatsionnoy i tekhnologicheskoy podderzhke funktsionirovaniya ISUZhT [The tasks of the system control and safety of movement of trains (SOBGP) at information and technology to support the operation of ISUIT], Trudy pervoy NTK «Intellektual'nye sistemy upravleniya na zheleznodorozhnom transporte ISUZhT-2012» g. Moskva, MGUPS, 15-16 noyabrya 2012 [Proceedings of the first NTK "Intelligent control systems for railway transport of ISWET-2012" Moscow, Moscow state railway University,
15-16 November 2012], pp. 34-37.
8. Faminskiy G.V., Erofeev E.V. Avtomaticheskie ustroystva dlya vozhdeniya poezdov [Automatic device for driving trains]. Moscow: Transport, 1978, 103 p.
9. Erofeev E.V. Vybor optimal'nogo rezhima vedeniya poezda na ETsVM s primeneniem metoda dinamicheskogo programmirovaniya [The selection of the optimal mode of train on digital, using the method of dynamic programming], Trudy MIIT [Proceedings of the MIIT], 1967,
Issue 228, pp. 16-30.
10. Erofeev E.V., Mostov I.S. Optimizatsiya programm dvizheniya poezdov [Optimization of train traffic], Trudy MIIT [Proceedings of the MIIT], 1977, Issue 550, pp. 121-125.
11. Sidel'nikov V.M. Vybor optimal'nogo rezhima upravleniya lokomotivom s ispol'zovaniem ETsVM [Selection of the optimal mode of locomotive control using digital], Vestnik TsNII MPS [Bulletin of TSNII MPs], 1965, No. 2, pp. 52-58.
12. Rozenfel'd V.E., Isaev I.P., Sidorov N.N., Ozerov M.I. Teoriya elektricheskoy tyagi [Theory of electric traction]. Moscow: Transport, 1995, 249 p.
13. Ishikawa K. Application of optimization theory for bounded state variable problems to the operation of trains, Bull. ISME – Nagoya Univ., 1968, Vol. 11, No. 47, pp. 857-865.
14. Rozenfel'd V.E., Paley D.A. Analiticheskiy metod provedeniya na ETsVM tyagovogo rascheta pri zadannom vremeni khoda i minimal'nom raskhode elektroenergii [Analytical method for conducting digital traction calculation at any given time speed and minimum power consump-tion], Vestnik VNIIZhT [Vestnik of the Railway Research Institute], 1974, No. 1, pp. 10-15.
15. Baranov L.A., Erofeev E.V., Meleshin I.S., Chin' L.M. Optimizatsiya upravleniya dvizheniem poezdov [Optimization of train traffic control]. Moscow: MIIT, 2011, 164 p.
16. Yurenko K.I. Raschet energooptimal'nykh rezhimov dvizheniya perspektivnogo podvizhnogo sostava metodom dinamicheskogo programmirovaniya [Calculation energoortalyk driving modes promising rolling stock dynamic programming method], Izvestiya vuzov. Elektromekhanika [Russian Electromechanics], 2013, No. 3, pp. 78-82.
17. Petrov Yu.P. Optimal'noe upravlenie dvizheniem transportnykh sredstv [Optimal control of vehicle movements]. Leningrad: Energiya, 1969, 95 p.
18. Golovicher Ya.M. Optimal'noe upravlenie tyagovym podvizhnym sostavom v sistemakh avtovedeniya magistral'nykh zheleznykh dorog: dis. ... d-ra. tekhn. nauk [Optimum management of traction rolling stock in the system automatic trunk railway. Dr. eng. sc. diss.]: 05.22.07. Moscow, 1994, 346 p.
19. Baranov L.A. Modeli i metody sinteza mikroprotsessornykh sistem avtomaticheskogo uprav-leniya skorost'yu elektropodvizhnogo sostava s nepreryvnym upravleniem tyagoy [Models and methods for the synthesis of microprocessor systems of automatic control of speed of electric trains with a continuous control rod], Vestnik MIIT [Bulletin of Engineering], 2004, No. 10, pp. 3-16.
20. Muginshteyn L.A., Ilyutovich A.E., Yabko I.A. Energooptimal'nye metody upravleniya dvizheniem poezdov [Energopotreblenie methods of train control], Sb. nauchn. tr. OAO «VNIIZhT» [Collection of scientific works of JSC "VNIIZHT"]. Moscow: Intekst, 2012, 80 p.
21. Krylov I.A., Chernous'ko F.L. Algoritm metoda posledovatel'nykh priblizheniy dlya zadach optimal'nogo upravleniya [The algorithm of the method of successive approximations for optimal control problems], Vychislitel'naya matematika i matematicheskaya fizika [Computational mathematics and mathematical physics], 1972, No. 12, pp. 14-34.
22. Ilyutovich A.E. Vybor variatsii spuska v zadache optimal'nogo upravleniya so smeshannymi ogranicheniyami. Deompozitsionnyy podkhod [The choice of variation of slope in the optimal control problem with mixed constraints. Decompositional approach], Avtomatika i telemekhanika [Automatics and Telemechanics], 1989, No. 9, pp. 103-114.
23. Pshikhopov V.Kh., Gayduk A.R., Medvedev M.Yu. Optimizatsiya dvizheniya poezda po kriteriyu energozatrat [Optimization of movement of trains on the criterion of energy consumption], Trudy pervoy nauchno-tekhnicheskoy konferentsii «ISUZhT-2013» g. Moskva,
21-22 oktyabrya 2013 g. [Proceedings of the first scientific-technical conference "ISUIT-2013", Moscow, 21-22 October 2013]. Part 1, pp. 89-92.
24. Houpt P.K., Bonnani P.G., Chan D.S., Chandra R.S., Kalyanam K. Optimal Control of Heavy-Haul Freight Trains to Save Fuel, University of California at Santa Barbara, Winter 2009 Seminar, pp. 1033-1040.
25. Seong H., Yun Sub B., Jong Hyen B., Tae Ki A., Su Gil L., Hyun Jun P. An optimal automatic train operation (ATO) control using genetic algorithms (GA), Proceedings of IEEE. Region
10 Conference. TENCON 99. "Multimedia Technology for Asia-Pacific Information Infra-structure". Vol. 1: IEEE Inst. Electron Eng.Korea., 1999.
26. Chen, Y.-J., Yu J.-A., Zhou L.-S., Tao Q. Study on the algorithm for train operation adjustment based on ordinal optimization, Advances in Mechanical Engineering, Vol. 2013, 8 p.
27. Leander P., Lagos M., Karlsson M., Rydberg S. Computer aided train operation, CATO. IHHA. Kiruna. 2007, pp. 423-432.
28. Coleman D., Yee R., Pudnev P. Saving fuel on long-haul trains, Australian stage 2 train results, IHHA. Rio de Janeiro, 2005, pp. 1-5.
29. Benjamin B., Howlett P., Vu X. Freightmaster: optimal speed profiles for long haul trains, Pro-ceedings of the 10th International Conference in Application of Advanced Technologies in Transportation. 27-30 May, 2008. Athens, Greece, pp. 1-12.
30. Pudovikov O.E. Avtomaticheskoe upravlenie skorost'yu gruzovogo poezda s elektrovozom, dopuskayushchim plavnoe upravlenie silami tyagi i elektricheskogo tormozheniya: dis. ... d-ra. tekhn. nauk [Automatic control of the speed of a freight train with electric locomotive, allowing smooth control of the forces of traction and braking. Dr. eng. sc. diss]: 05.13.06, 05.22.07. Moscow, 2011, 291 p.
31. Klimovich A.V. Optimizatsiya upravleniya dvizheniya poezda po minimumu zatrat ener-goresursov na tyagu [Optimization of control of movement of trains at the minimum cost of energy for traction]. Moscow: Kompaniya Sputnik+, 2008, 263 p.
32. Yurenko K.I., Fandeev E.I. Komp'yuternaya model' i programmno-apparatnye sredstva bortovoy sistemy avtomatizirovannogo vedeniya poezda [Computer model and hardware-software on-board systems of automated driving of the train], Izvestiya YuFU. Tekhnicheskie nauki [Izvestiya SFedU. Engineering Sciences], 2012, No. 5 (130), pp. 51-56.
33. Yurenko K.I., Savos'kin A.N., Fandeev E.I. Matematicheskoe modelirovanie energooptimal'nykh rezhimov vedeniya poezda s uchetom vozmushcheniy [Mathematical modeling of eneloop allows an optimal modes of reference of a train with given parameters], Izvestiya vuzov. Severo-Kavkazskiy region. Tekhnicheskie nauki [University News. North-caucasian region. Technical Sciences Series], 2015, No. 3, pp. 34-44.
34. Dormand J.R., Prince P.J. Runge-Kutta triples, Comp. & Maths. with Appls, 1986, No. 21A, pp. 1007-1017.

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