Parametric optimization in design of small uav flight control systems

Authors

DOI:

https://doi.org/10.18372/2073-4751.86.21275

Keywords:

parametric optimization, penalty function, Luenberger filter, optimal deterministic controller, flight control system, small UAV

Abstract

This paper is devoted to the issues of flight control systems design for small Unmanned Aerial Vehicle (UAV) in the presence of incomplete measurements and stochastic disturbances. To solve this problem the parametric optimization procedure based on the Nelder-Mead method is proposed. With the help of this procedure it is possible to estimate the desired location of poles of the Luenberger filter (used for unmeasured states restoration) and elements of weight matrices that are needed for optimal deterministic controller design. To convert the constrained optimization procedure to unconstrained one it is proposed to include the penalty function into the performance index that is minimized. The efficiency of the proposed parametric optimization procedure in problems of flight control systems design is proved on the model of small UAV with the help of simulation.

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Published

2026-05-30

How to Cite

Klipa, A., Abramovych, O., Bilak, N., & Ermolaeva, O. (2026). Parametric optimization in design of small uav flight control systems. Problems of Informatization and Control, 2(86), 69–74. https://doi.org/10.18372/2073-4751.86.21275

Issue

Vol. 2 No. 86 (2026)

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Статті

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