Multiversion model of software control systems for space vehicles with range of decision-making
- Autores: Kartsan I.N.1,2,3, Efremova S.V.2
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Afiliações:
- Marine Hydrophysical Institute, Russian Academy of Sciences
- Reshetnev Siberian State University of Science and Technology
- Sevastopol State University
- Edição: Volume 22, Nº 1 (2021)
- Páginas: 32-46
- Seção: Section 1. Computer Science, Computer Engineering and Management
- URL: https://journals.eco-vector.com/2712-8970/article/view/562762
- DOI: https://doi.org/10.31772/2712-8970-2021-22-1-32-46
- ID: 562762
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Resumo
The paper presents a multiversion model with ranking of alternatives in order of preference, taking into account the dependence of the attributes in the design of software for spacecraft control systems of various classes. The applied software with a set of algorithms, based on the general scheme of the method of branches and borders allow to determine the exact solution of the optimization problem.
To achieve the highest reliability of the software component of spacecraft control systems built with the use of multiversion programming methodology, a large number of versions of software modules are combined into a single structure.
While software complexes even without introduction of redundant elements are characterized as complex systems, there is no need to speak about wide use of enumerative methods for their formation.
Using the proposed modified method of ordered preference through similarity to an ideal solution, will allow to solve the problem of choosing the best computing system from a number of available systems. This approach is becoming increasingly possible because of the tremendous progress in computing design and manufacturing technology. Even the so-called personal computers provide computational capabilities that some time ago seemed impossible even for computers representing a much more powerful class of computing equipment – supercomputers.
Sobre autores
Igor’ Kartsan
Marine Hydrophysical Institute, Russian Academy of Sciences; Reshetnev Siberian State University of Science and Technology; Sevastopol State University
Autor responsável pela correspondência
Email: kartsan2003@mail.ru
Dr. Sc., Senior Researcher, Marine Hydrophysical Institute, Russian Academy of Sciences, Professor, Reshetnev Siberian State University of Science and Technology; Professor, Sevastopol State University
Rússia, 2, Каpitanskaya St., Sevastopol, 299011; 31, Krasnoiarskii Rabochi Prospekt, Krasnoyarsk, 660037; 33, Universitetskaya St., Sevastopol, 299053Svetlana Efremova
Reshetnev Siberian State University of Science and Technology
Email: efremova_svet@sibsau.ru
Postgraduate Student
Rússia, 31, Krasnoiarskii Rabochi Prospekt, Krasnoyarsk, 660037Bibliografia
- Volkov V. A. [Multiattribute selection of fault-tolerant software components]. Vestnik universitetskogo kompleksa. 2006, No. 8 (22), P. 208–211. (In Russ.)
- Kovalev I. V., Savin S. V. [Optimal formation of redundant structure for fault-tolerant information systems]. Issledovano v Rossii. 2004, No. 7, P. 1123–1129. (In Russ.)
- Kartsan I. N., Zhukov A. O., Platonov O. А., Efremova S. V. The hardware and software implementation of the adaptive platform for an onboard spacecraft control system. Journal of Physics: Conference Series. 2019, Vol. 1399, No. 3, P. 033071.
- Kartsan I. N., Efremova S. V., Khrapunova V. V., Tolstopiatov M. I. Choice of optimal multiversion software for a small satellite ground-based control and command complex. IOP Conference Series: Materials Science and Engineering. 2018, Vol. 450, No. 2, P. 022015.
- Kudymov V. I., Brezitskaya V. V., Zelenkov P. V., Kartsan I. N., Malanina Yu. N. Formation of optimal composition of the modules of single-function multiversion software for automated control system of the satellite communication system. IOP Conference Series: Materials Science and Engineering. 2018, Vol. 450, No. 5, P. 052009.
- Kovalev I., Davydenko O. Interactive system for spacecraft technological control cycle construction. Program and Abstracts of Int. Symposium SOR’96. TU-Braunschweig (4–6 Sept. 1996). 1996, P. 195.
- Stupina A. Realization of conventional pattern of random search methods in the space of Boolean variables. Optimization Days. 1997, P. 98–112.
- Yunusov R. V. [Modeling of software architectures of automated control systems]. Materialy Vserossiiskoi elektronnoi nauch.-tekhn. konf. “Upravlyayushchie i vychislitel’nye sistemy. Novye tekhnologii” [Materials of the All-Russian Electronic Scientific and Technical Conf. “Management and computing systems. New Technologies”]. 2001, P. 60–61. (In Russ.)
- Antamoshkin A., Stupina A. The random search algorithms in the space of Boolean variables. Symp. OR’97. Jena, 1997, P. 112–118.
- Semenenko M. G., Kniazeva I. V., Beckel L. S., Rutskiy V. N., Tsarev R. Y., Yamskikh T. N., Kartsan I. N. How to use neural network and web technologies in modeling complex technical systems. IOP Conference Series: Materials Science and Engineering. 2019, Vol. 537, No. 3, P. 032095.
- Semenko T. I. [Multiattributive approach to the formation of fault-tolerant software control systems]. Successes of modern natural science. 2004, No. 6, P. 32–33. (In Russ.)
- Kovalev I. V., Tsarev R. Yu. [Combined method of multi-version spacecraft control software formation]. Aviation and Space Instrument Engineering. 2006, No. 9, P. 8–14. (In Russ.)
- Tsarev R. Yu. Mnogoatributivnoe prinyatie reshenii v mul'tiversionnom proektirovanii: monografiya [Multi-attributive decision making in multiversion design : monograph]. Krasnoyarsk, IPC KSTU, 2005, 156 p.
- Efremova S. V., Kartsan I. N., Zhukov A. O. An ordered ranking multi-attributive model for decision-making systems with attributes of control systems software. IOP Conference Series: Materials Science and Engineering. 2021, Vol. 1047, P. 012068.
- Kartsan I. N. Models for Estimating the Reliability of the Software of an Onboard Control System. Research journal of pharmaceutical biological and chemical sciences. 2018, Vol. 9, No. 5, P. 2357–2367.
- Tsarev R. Yu. [Analysis of qualitative and quantitative attributes in the design phase of fault-tolerant software systems]. Control systems and information technologies. 2006, No. 3(25), P. 95–101. (In Russ.)
- Tsarev R. Yu. [Compensation model of multi-attribute decision making in the formation of management information systems]. Problems of the theory and practice of management. 2007, No. 9, P. 63–68. (In Russ.)
- Tsarev R. Yu. [Attribute transformation in multi-attribute decision making]. Мaterialy V Mezhdunar. nauch. konf. “Reshetnevskie chteniya” [Materials V Intern. Scientific. Conf “Reshetnev reading”]. Krasnoyarsk, 2001, P. 119–120. (In Russ.)
- Ching-Lai Hwang, Kwangsun Yoon. Multiple Attribute Decision Making. Methods and Applica-tion, Springer-Verlag, Berlin, 1981, 255 p.
- Stupina A., Volf P. Random point processes. Siberian Aviation and Space Salon. 2001, P. 273–276.
- Tynchenko V. S., Tynchenko V. V., Bukhtoyarov V. V., Tynchenko S. V., Petrovskyi E. A. The multi-objective optimization of complex objects neural network models. Indian Journal of Science and Technology. 2016, Vol. 9, No. 29, P. 99467.
- Karaseva M. V., Kartsan I. N., Zelenkov P. V. [Meta-search multi-linguistic system]. Vestnik SibGAU. 2007, No. 3 (16), P. 69–70. (In Russ.)
- Kartsan I. N. [The multiversion software of the onboard control complex with genetic algorithm]. Мaterialy XXI Mezhdunar. nauch. konf. “Reshetnevskie chteniya” [Materials XXI Intern. Scien-tific. Conf “Reshetnev reading”]. Krasnoyarsk, 2017, P. 372–373. (In Russ.)
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