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Article information
2019 , Volume 24, ¹ 3, p.59-74
Isaeva O.S., Nozhenkova L.F., Koldyrev A.Y.
Intellectual analysis for testing of spacecraft onboard equipment
This article represents a method for intellectual analysis of the results of testing spacecraft onboard equipment on the bases of the precedents of the simulation model. A simulation model is founded on a knowledge base describing different peculiar properties of the onboard equipment’s function, settings of the reception-transmission tract, scenarios of control commands’ transmission and corresponding changes of the parameters of onboard devices’ telemetry. We have designed data structures and software that allows conducting simulation experiments, save them in the precedent base and compare the results of the simulation modelling with the results of the onboard system’s testing. This analysis is carried out both during tests and after they are finished. In the first case, an onboard systems’ command is sent to the object of testing and to the simulation model. The model contains methods of logical inference that forms a conflict set of rules, choose and complete the applied actions simulating the functions of onboard equipment at reception and execution of the given commands. The results of modelling are represented in telemetry that is compared with the telemetry received from the objects of testing. A designer is given a list of parameters that were changed in the process of the logical inference and the telemetry parameters of the object of testing. In the other case, the telemetry of the onboard system obtained from the test storage results is compared with the precedents of the simulation model from the data base. Precedents contain examples of execution of big variety of commands and sets of the rules of the knowledge base that were completed for their acquisition. If telemetry parameters coincide, software allows a step-by-step review of the tests thus making a comparison with the actions of the simulation model. Comparison of the simulation model precedents with the results of testing allows revealing special features of the onboard equipment function that may remain unnoticed when other methods of analysis are utilized. Intellectual methods of logical output for analysis of tests extend the capabilities of test software and provide better quality of designer solutions.
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Keywords: knowledge base, inference, simulation modelling, spacecraft onboard equipment, testing
doi: 10.25743/ICT.2019.24.3.005
Author(s):
Isaeva Olga Sergeevna
PhD.
Position: Senior Research Scientist
Office: Institute of Computational Modeling of SB RAS
Address: 660036, Russia, Krasnoyarsk, Akademgorodok str, 50, 44
Phone Office: (391) 290-74-52
E-mail: isaeva@icm.krasn.ru
SPIN-code: 8412-5807Nozhenkova Ludmila Fedorovna
Dr. , Professor
Position: General Scientist
Office: Institute of Computing Simulation of SB RAS
Address: 660036, Russia, Krasnoyarsk, Akademgorodok, 50/44
Phone Office: (913) 543-4233
E-mail: expert@icm.krasn.ru
SPIN-code: 8354-3536Koldyrev Andrey Yurievich
Position: Junior Research Scientist
Office: Institut Computing Simulation of SB RAS
Address: 660036, Russia, Krasnoyarsk, Akademgorodok, 50/44
E-mail: raventus@gmail.com
SPIN-code: 1653-7508 References:
[1] Simulation modelling platform. ECSS E-40-07. Netherlands: ESA Requirements and Standards Division ESTEC; 2011: 49.
[2] Space engineering. System engineering general requirements. ECSS-E-ST-10C. Netherlands: European Cooperation for Space Standardization; 2009: 100.
[3] Space engineering. Testing. ECSS-E-ST-10-03C. Netherlands: European Cooperation for Space Standardization; 2012: 128.
[4] Eickhoff, J. Simulating Spacecraft Systems. Springer Aerospace Technology; 2009: 376.
[5] Nozhenkova, L., Isaeva, O., Gruzenko, E. Computer simulation of spacecraft onboard equipment. ACSR-Advances in Comptuer Science Research (CISIA 2015). 2015; (18):943–945. DOI: 10.2991/cisia-15.2015.255.
[6] Nozhenkova, L.F., Isaeva, O.S., Vogorovskiy, R.V., Mishurov, A.V. Formation of procedures of the external command-and-software control for testing the spacecraft commandand-measuring system. The Research of the Science City. 2017; 4(22):175–183. (In Russ.)
[7] Nozhenkova, L.F., Isaeva, O.S., Vogorovskiy, R.V. Scenario approach to testing spacecraft’s onboard equipment command and software management. DEStech Transactions on Engineering and technology research (TMCM2017). 2017: 53–57. DOI:10.12783/dtetr/tmcm2017/12614.
[8] Isaeva, O.S., Gruzenko, E.A., Vogorovskiy, R.V., Koldyrev, A.Yu. Modeling and analysis of functioning of the spacecraft command and measuring system. Informatizatsiya i svyaz'. 2015; (1):58–64. (In Russ.)
[9] Nozhenkova, L.F., Isaeva, O.S., Evsyukov, A.A. Tools of computer modeling of the space systems’ onboard equipment functioning. SPIIRAS Proceedings. 2018; (56):144–168. (In Russ.)
[10] Strzepek, A., Esteve, F., Salas, S., Millet, B., Darnes, H. A training, operations and maintenance simulator made to serve the MERLIN mission. Proceedings of the 14th International Conference on Space Operations (SpaceOps 2016). NY: American Institute of Aeronautics and Astronautics; 2016: 1736-1746.
[11] Andreev, A.M. Khatsayuk, V.O. Algorithm for estimating the spatial availability of radio emissions of spacecraft command-retransmission systems using simulation simulations. Proceedingsof the Mozhaisky Military Space Academy. 2016; (650):57–61. (In Russ.)
[12] Khomonenko, A.D., Starobinets, D.Yu., Lokvitskii, V.A. A model of estimating quickness of functioning of onboard control systems of spacecraft remote sensing of the earth. SPIIRAS Proceedings. 2016; 3(46):49–64. (In Russ.)
[13] Yakimov, I.M., Kirpichnikov, A.P., Trusfus, M.V., Mokshim, V.V. Comparison of Structural and Simulation Modeling Systems Anylogic, Extendsim, Simulink. Bulletin of the technological university. 2017; 20(15):118–122. (In Russ.)
[14] Zhikharev, A.G., Korchagina, K.V., Buzov, P.A., Akulov, Yu.V., Zhikhareva, M.S. About simulation modeling of production and technological systems. Research result. Information technologies. 2016; 1(3):24–31. (In Russ.)
[15] Mikov, A.I., Zamyatina, E.B. The experience of the simulation system development using the methods of artificial intelligence. Ðroceedings îf the conference “Artificial Intelligence in the Solution of Current Social and Economic Problems of the XXI Century”: Perm: PGNIU; 2016: 19–23. (In Russ.)
[16] Mironov, A.N., Mironov, E.A., Shestopalova, O.L., Platonov, S.A. Research of questions modeling of border areas functioning elements of onboard equipment spacecraft at the stage of creation and operation. Fundamental research. 2015; (2-13):2815–2818. (In Russ.)
[17] Rannev, G.G. Izmeritel'nye informatsionnye sistemy [Measuring information systems]. Moscow: Izdatel'skiy tsentr “Akademiya”; 2010: 336. (In Russ.)
[18] Murav'eva-Vitkovskaya, L.A. Modelirovanie intellektual'nykh system [Modeling of intelligent systems]. Spb: NIU ITMO; 2012: 145. (In Russ.)
[19] Barkov, A.V. Structure of the problem-oriented language of spacecrafts tests. Vestnik SibGAU. 2006; (5):14–18. (In Russ.)
[20] Tretmans, J. Belinfante, A. Automatic Testing with Formal Methods. Proc. of the 7th Intern. Conf. on Software Testing, Analysis, Review (EuroSTAR’99). 1999: 8–12.
[21] Nozhenkova, L.F., Isaeva, O.S., Gruzenko, E.A. The method for system modelling of the spacecraft on-board equipment. Computational Technologies. 2015; 20(3):33–44. (In Russ.)
[22] Nozhenkova, L.F., Isaeva, O.S., Gruzenko, E.A. Designing the program-mathematical model for the spacecraft command and measuring system. Informatizatsiya i svyaz'. 2014; (1):87–93. (In Russ.)
[23] Sistemy i kompleksy kosmicheskie. Terminy i opredeleniya [Space systems and complexes. Terms and Definitions]. GOST R 53802-2010. Moscow:Standartinform; 2011: 28. (In Russ.)
[24] Nozhenkova, L.F., Isaeva, O.S., Vogorovskiy, R.V. The command and program control test automation of the spacecraft on-board facility. Avtomatizatsiya. Sovremennye tekhnologii. 2017; 71(4):184–188. (In Russ.)
Bibliography link:
Isaeva O.S., Nozhenkova L.F., Koldyrev A.Y. Intellectual analysis for testing of spacecraft onboard equipment // Computational technologies. 2019. V. 24. ¹ 3. P. 59-74
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