Pekiştirmeli Öğrenme Algoritmaları ile İnsansız Hava Aracının Duruş Dinamiklerinin Kontrolü

Yıl 2021, Sayı: 29, 351 - 357, 01.12.2021

Nurten Emer Necdet Sinan Özbek

https://doi.org/10.31590/ejosat.1021970

Öz

Bu çalışmada, dikey kalkış ve iniş yapabilen insansız bir hava aracının duruş dinamiklerinin kontrolü için modele bağlı ve modelden bağımsız öğrenme tabanlı kontrol tekniklerinin bazı uygulamaları sunulmaktadır. Bu amaç için, pekiştirmeli öğrenme kontrol algoritmaları incelenmiştir. Kontrol algoritmaları ele alınmış ve temel farklar sunulmuştur. Sistemin durum kontrolü üzerinde bir takım sayısal benzetimler gerçekleştirilmiş ve sonuçlar tartışılmıştır. Önerilen öğrenmeye dayalı kontrol yönteminin performans değerlendirmesi yapılmıştır.

Anahtar Kelimeler

Modelden bağımsız kontrol, Pekiştirmeli Öğrenme Algoritmaları, Kontrol Uygulamaları, Kararlılık, İnsansız Hava Araçları

Control of Attitude Dynamics of an Unmanned Aerial Vehicle with Reinforcement Learning Algorithms

Öz

In this study, some applications of model-dependent and model-free learning based control techniques are presented for the control of attitude dynamics of vertical take-off and landing unmanned aerial vehicle. Towards this goal, reinforcement learning control algorithms are examined. Control algorithms are discussed and the main differences are presented. A number of numerical simulations are carried out on the attitude control of the system and the results are discussed. Performance evaluation of the proposed learning-based control method has been carried out.

Anahtar Kelimeler

Model-free control, Reinforcement Learning Algorithms, Control Application, Stability, Unammaned Aerial Vehicles

Kaynakça

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