Stability Analysis of helicopter dynamics with incomplete information using MPC

The paper is devoted to the problem of seeking a helicopter motion control using MPC provided that the state vector is not fully observable. It is supposed that the helicopter motion is described by a dynamic system linearized near regimes with different fixed values of the forward speed. To solve t...

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Main Authors: Kudryavtseva Irina, Petrov Kirill
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2022/09/matecconf_cmmass2021_01012.pdf
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author Kudryavtseva Irina
Petrov Kirill
author_facet Kudryavtseva Irina
Petrov Kirill
author_sort Kudryavtseva Irina
collection DOAJ
description The paper is devoted to the problem of seeking a helicopter motion control using MPC provided that the state vector is not fully observable. It is supposed that the helicopter motion is described by a dynamic system linearized near regimes with different fixed values of the forward speed. To solve the problem for an arbitrary value of the forward speed the interpolation strategy when the system matrices are decomposed in the basis of the finite functions is used. The proposed technique is applied to analyze dynamic behavior of three models of helicopters: ZD559-Lynx, SA330-Puma, S123-Bo105. The MPC approach permits to gain the stability of helicopters with complete and incomplete information in varying a time interval on which the system is under control and an interval over which a desired output is needed to achieve, initial conditions of a motion and values of the forward speed.
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spelling doaj.art-53b2a461cd6c479891f1e9f9a68eb7a32022-12-22T02:06:01ZengEDP SciencesMATEC Web of Conferences2261-236X2022-01-013620101210.1051/matecconf/202236201012matecconf_cmmass2021_01012Stability Analysis of helicopter dynamics with incomplete information using MPCKudryavtseva Irina0Petrov Kirill1Moscow Aviation Institute (National Research University)Moscow Aviation Institute (National Research University)The paper is devoted to the problem of seeking a helicopter motion control using MPC provided that the state vector is not fully observable. It is supposed that the helicopter motion is described by a dynamic system linearized near regimes with different fixed values of the forward speed. To solve the problem for an arbitrary value of the forward speed the interpolation strategy when the system matrices are decomposed in the basis of the finite functions is used. The proposed technique is applied to analyze dynamic behavior of three models of helicopters: ZD559-Lynx, SA330-Puma, S123-Bo105. The MPC approach permits to gain the stability of helicopters with complete and incomplete information in varying a time interval on which the system is under control and an interval over which a desired output is needed to achieve, initial conditions of a motion and values of the forward speed.https://www.matec-conferences.org/articles/matecconf/pdf/2022/09/matecconf_cmmass2021_01012.pdf
spellingShingle Kudryavtseva Irina
Petrov Kirill
Stability Analysis of helicopter dynamics with incomplete information using MPC
MATEC Web of Conferences
title Stability Analysis of helicopter dynamics with incomplete information using MPC
title_full Stability Analysis of helicopter dynamics with incomplete information using MPC
title_fullStr Stability Analysis of helicopter dynamics with incomplete information using MPC
title_full_unstemmed Stability Analysis of helicopter dynamics with incomplete information using MPC
title_short Stability Analysis of helicopter dynamics with incomplete information using MPC
title_sort stability analysis of helicopter dynamics with incomplete information using mpc
url https://www.matec-conferences.org/articles/matecconf/pdf/2022/09/matecconf_cmmass2021_01012.pdf
work_keys_str_mv AT kudryavtsevairina stabilityanalysisofhelicopterdynamicswithincompleteinformationusingmpc
AT petrovkirill stabilityanalysisofhelicopterdynamicswithincompleteinformationusingmpc