IMPROVING OF ELECTROMECHANICAL STABILIZATION SYSTEMS ACCURACY
Keywords:tank main armament guidance and stabilization electromechanical systems, nonlinear robust control, multiobjective synthesis, dynamic characteristics
AbstractAim. Improving of accuracy parameters and reducing of sensitivity to changes of plant parameters for nonlinear robust tank main armament guidance and stabilization electromechanical systems based on synchronous motor with permanent magnets and vector control. Methodology. The method of multiobjective synthesis of nonlinear robust control by nonlinear tank main armament stabilization electromechanical system taking into account the elastic oscillations of the tank gun barrel as a discrete-continuous plant and with parametric uncertainty based on the multiobjective optimization. The target vector of robust control choice by solving the corresponding multicriterion nonlinear programming problem in which the calculation of the vectors of the objective function and constraints is algorithmic and associated with synthesis of nonlinear robust controllers and modeling of the synthesized system for various modes of operation of the system, with different input signals and for various values of the plant parameters. Synthesis of nonlinear robust controllers and non-linear robust observers reduces to solving the system of Hamilton-Jacobi-Isaacs equations. Results. The results of the synthesis of a nonlinear robust tank main armament guidance and stabilization electromechanical systems are presented. Comparison of the dynamic characteristics of the synthesized tank main armament stabilization electromechanical systems showed that the use of synthesized nonlinear robust controllers allowed to improve the accuracy parameters and reduce the sensitivity of the system to changes of plant parameters in comparison with the existing system. Originality. For the first time carried out the multiobjective synthesis of nonlinear robust tank main armament stabilization electromechanical systems. Practical value. Practical recommendations are given on reasonable choice of the gain matrix for the nonlinear feedbacks of the regulator and the nonlinear observer of the tank main armament stabilization electromechanical systems, which allows improving the dynamic characteristics and reducing the sensitivity of the system to plant parameters changing in comparison with the existing system.
Chernyshev V.L., Tarasenko A.A., Ragulin S.V. Comparative evaluation of tactical and technical and structural parameters of T-64B tanks (BM «Bulat») and Leopard-2A4. Available at: http://btvt.narod.ru/raznoe/bulat-leo2.htm (accessed 05 May 2018). (Rus).
Koshelev V.V., Lavrishchev B.P., Sokolov V.Ya., Potemkin E.K., Prutkov V.N. Accuracy of complexes of tank-army armament according to military test data. Bulletin of armored vehicles, 1985, no.4, pp. 58-24. (Rus).
Features of the upgraded tanks T-64BV of Armed Forces of Ukraine. Available at: https://diana-mihailova.livejournal.com/2524539.html (accessed 14 July 2018). (Rus).
M1 Abrams MainBattleTank 1982-1992. New Vanguard 2. – Osprey Publishing (UC), 1993. 49 p.
Challenger 2 MainBattleTank 1987-2006. New Vanguard 112. – Osprey Publishing (UC), 2006. 49 p.
Merkava – A History of Israel’s Main Battle Tank. Marsh Gelbart. Tankograd Publishing-VertagJochen Vollert,Germany, 2005. 175 p.
Closed-loop optimization program for the M60A1 tank gun stabilization system. W. Binroth,Rock IslandArsenal, 1975. 251 p.
Aleksandrov Е., BogaenkoI., Kuznetsov B. Parametric synthesis of tank weapon stabilization systems. Kyiv, Теhnika Publ., 1997. 112 p. (Rus).
All Electric Combat Vehicles (AECV) for Future Applications. Report of The Research and Technology Organization (RTO) of NATO Applied Vehicle Technology Panel (AVT) Task Group AVT-047 (WG-015), 2004. 234 р.
Eliseev A.D. Main directions of development of modern tank armament stabilizers. News of the Tula state university. Technical sciences, 2012, iss.11, part 2, pp. 3-9. (Rus).
Shamarih O.V. Electromechanical stablizers of tank armaments. Bulletin of armored vehicles, 1985, no.1, pp. 23-26.
Kozyrev V.V. Ways and prospects for improving the stabilizers of tank-water weapons. Defense equipment, 2005, no.2-3, pp. 65-71.
Peresada S., Kovbasa S., Korol S., Zhelinskyi N. Feedback linearizing field-oriented control of induction generator: theory and experiments. Technical Electrodynamics, 2017, no.2, pp. 48-56. (Rus). doi: 10.15407/techned2017.02.048.
Buriakovskyi S., Maslii A., Maslii A. Determining parameters of electric drive of a sleeper-type turnout based on electromagnet and linear inductor electric motor. Eastern-European Journal of Enterprise Technologies, 2016, vol.4, no.1(82), pp. 32-41. (Rus). doi: 10.15587/1729-4061.2016.75860.
Rozov V.Yu., Reutskyi S.Yu., Pelevin D.Ye., Pyliugina O.Yu. The magnetic field of transmission lines and the methods of its mitigation to a safe level. Technical Electrodynamics, 2013, no. 2, pp. 3-9. (Rus).
William McEneaney M. Max-plus methods for nonlinear control and estimation. BirkhaЁuser Boston Basel Berlin, 2006. 256 p.
Wilson Rugh J. Nonlinear System Theory. The Volterra. Wiener Approach. The Johns Hopkins University Press, 2002. 330 p.
Tolochko O. Analysis of observed-based control systems with unmeasured disturbance. 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), May 2017. doi: 10.1109/ukrcon.2017.8100402.
Kuznetsov B.I., Nikitina T.B., Tatarchenko M.O.,Khomenko V.V. Multicriterion anisotropic regulators synthesis by multimass electromechanical systems. Technical Electrodynamics, 2014, no.4, pp. 105-107. (Rus).
Galchenko V.Ya., Yakimov A.N. A Turmitobionic Method for the Solution of Magnetic Defectometry Problems in Structural-Parametric Optimization Formulation. Russian Journal of Nondestructive Testing, 2014, vol.50, no.2, pp. 59-71. doi: 10.1134/s106183091402003x.
Xin-She Yang, Cui Zhihua, Xiao Renbin, Amir Hossein Gandomi, Mehmet Karamanoglu. Swarm Intelligence and Bio-Inspired Computation: Theory and Applications. Elsevier Inc., 2013. 450 p. doi: 10.1016/C2012-0-02754-8.
Gal’chenko V.Y., Yakimov A.N., Ostapushchenko D.L. Pareto-optimal parametric synthesis of axisymmetric magnetic systems with allowance for nonlinear properties of the ferromagnet. Technical Physics, 2012, vol.57, no.7, pp. 893-899. doi: 10.1134/s1063784212070110.
Shoham Y., Leyton-Brown K. Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press, 2009. 504 p. doi: 10.1017/CBO9780511811654.
Gun turret drives: Electric stabilization systems for military ground vehicles. Available at: https://www.jenoptik.com/products/defense-and-security/stabilization-systems/gun-turret-drives (accessed 11 August 2018).
How to Cite
Copyright (c) 2019 B. I. Kuznetsov, T. B. Nikitina, I. V. Bovdui, B. B. Kobilyanskiy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.