AUTOMATION OF EARLY DESIGN PHASES FOR INERTIALLY STABILIZED PLATFORMS

Authors

  • O. A. Sushchenko National Aviation University, Kyiv

DOI:

https://doi.org/10.18372/1990-5548.63.14524

Keywords:

Automation, computing facilities, inertially stabilized platforms, genetic algorithm, robust control, structural synthesis

Abstract

This article deals with the problems of automated design of the inertially stabilized platforms with installed aviation equipment. The computing facilities of developing automated procedures are analysed. The features of using genetic algorithms for solving the above stated problem are given. The optimization programs in MatLab system are developed. The developed procedures are approved based on MatLab simulation. The proposed approach is accompanied with the concrete example and appropriate simulation results. The obtained results can be useful for unmanned aerial vehicles and aircraft of special aviation with installed aviation equipment.

Author Biography

O. A. Sushchenko, National Aviation University, Kyiv

Aerospace Control Systems Department, Faculty of Air Navigation

Electronics and Telecommunications

Doctor of Engineering Science. Professor

orcid.org/0000-0002-8837-1521

References

J. M. Hilkert, “Inertially stabilized platform technology,” IEEE Control Systems Magazine, 2008, vol. 26, no. 1, pp. 26–46. https://doi.org/10.1109/MCS.2007.910256

D. W. Gu, P. Hr. Petkov, and M. M. Konstantinov, Robust Control Design with MATLAB. London: Springer-Verlag, 2005, 389 p.

O. A. Sushchenko and A. V. Goncharenko, “Design of robust systems for stabilization of unmanned aerial vehicle equipment,” International Journal of Aerospace Engineering, 2016, Article ID 6054081, 10 p. https://doi.org/10.1155/2016/6054081

O. A. Sushchenko, "Approach to computer-aided design of UAV robust inertial platforms," in Proceedings of IEEE 4th International Conference on Actual Problems of Unmanned Air Vehicles Developments (APUAVD 2017), Kyiv, Ukraine, 2017, pp. 53–57. https://doi.org/10.1109/APUAVD.2017.8308775

R. I. Solnitsev, Automation of Automatic Control Systems. Moscow: Visha shkola. 1991, 335 p. (in Russian)

W. Y. Yang, T. S. Cao, I. Cao and J. Chung, Applied Numerical Methods Using MATLAB. New York: John Wiley and Sons, 2005, 509 p. https://doi.org/10.1002/0471705195

L. Booker, Improving search in genetic algorithms. In Genetic Algorithms and Simulated Annealing. Morgan Kaufmann Publishers, 1987.

M. J. Kochenderfer and T. A. Wheeler, Algorithms for Optimization. Berlin: Mit Press, 2019, 520 p.

O. A. Sushchenko and O. V. Shyrokyi, “H2/H∞ optimization of system for stabilization and control by line-of-sight orientation of devices operated at UAV,” in Proceedings of IEEE 3rd International Conference on Actual Problems of Unmanned Aerial Vehicles Developments, APUAVD-2015, Kyiv, Ukraine, October 13–15, 2015, pp. 235–238. https://doi.org/10.1109/APUAVD.2015.7346608

O. A. Sushchenko, “Design of two-axis robust system for stabilization of information-measuring devices operated at UAVs,” in Proceedings of IEEE 3rd International Conference on Actual Problems of Unmanned Aerial Vehicles Developments, APUAVD-2015, Kyiv, Ukraine, October 13–15, 2015, pp. 198–201. https://doi.org/10.1109/APUAVD.2015.7346598

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AUTOMATION AND COMPUTER-INTEGRATED TECHNOLOGIES