UDC: 
DOI: 
10.22389/0016-7126-2018-941-11-54-60
1 Devyatisilny A.S.
2 Shurygin A.V.
Year: 
№: 
941
Pages: 
54-60

The Institute of Automation and Control Processes FEB RAS

1, 
2, 
Abstract:
The mathematical models of inverse trajectory problems of the form “state – measurement” are presented. The aim and main component of the solutions is to estimate the surface sea current velocity vector after reconstructing the absolute (relatively solid Earth) velocity of the object according to its positioning GLONASS data. These models are associated with the model of estimating problem the derivatives of a continuous time function with respect to its temporally measurable values having the Jordan form of a matrix with a nilpotency index. It coincides with the dimension of the system of linear differential equations of state, which causes discretization of the problem in time without methodological errors and the implementation of computational algorithms for dynamic handling Using the ordinary Least Squares method with a sliding window. The peculiarity of this solution methodology is that it identifies the flow with the portable movement of a controlled marine object, considers it as a navigational factor that changes in time and geographical space and requires on-board operational assessment of the current state. The results of computational experiments are also presented.
References: 
1.   Andreev V.D. Teoriya inercial'noj navigacii. Avtonomnye sistemy. M.: Nauka, 1966, 580 p.
2.   Devyatisilny A.S., Shurygin A.V. (2018) Neuromorphic estimation of the parameters of the object’s motion according to the positioning data of GLONASS. Geodezia i Kartografia, 79(1), pp. 47-51. (In Russian). DOI: 10.22389/0016-7126-2018-931-1-47-51.
3.   Ishlinskij A. Ju. Klassicheskaya mehanika i sily inertsii. Moskva: Editorial URSS, 2018, 320 p.
4.   Kalman R., Falb P., Arbib M. Ocherki po matematicheskoj teorii sistem. Per. s angl. EH.L. Nappel'bauma / Pod red. YA.Z. Cypkina. M.: Mir, 1971, 400 p.
5.   Krjukov N. D., Shmatkov V. A. Uchjot techenij, generiruemyh vetrom, pri plavanii sudov. Vestnik gos. un-ta morskogo i rechnogo flota im. admirala S. O. Makarova, 2015, Vol. 7, no. 3 (31), pp. 23–29. DOI: 10.21821/2309-5180-2015-7-3-23-29.
6.   Myslenkov S. A., Zatsepin A. G., Sil'vestrova K. P., Baranov V. I. Ispol'zovanie drejfujushchih buev i buksiruemogo profilografa dlya issledovaniya techenij na shel'fe Chjornogo morya. Vestnik Mosk. un-ta. Seriya 5. Geografiya, 2014, no. 6, pp. 73–80.
7.   Horn R., Dzhonson Ch. Matrichnyj analiz. Moskva: Mir, 1989, 656 p.
8.   Nav Quest 600. Micro Doppler Velocity Log. The World’s Smallest DVL. URL: http://www.link-quest.com/html/NavQuest600M.pdf (accessed: 24.05.2018).
Citation:
Devyatisilny A.S., 
Shurygin A.V., 
(2018) Developing methodology and models of on-board real-time systems for determining surface sea current parameters. Geodesy and cartography = Geodezia i Kartografia, 79(11), pp. 54-60. (In Russian). DOI: 10.22389/0016-7126-2018-941-11-54-60
Publication History
Received: 09.07.2018
Accepted: 04.10.2018
Published: 20.12.2018

Content

2018 November DOI:
10.22389/0016-7126-2018-941-11