Robust Controller Design for a Generic Helicopter Model: An AI-Aided Application for Terrain Avoidance

This paper focuses on robust controller design for a generic helicopter model and terrain avoidance problem via artificial intelligence (AI). The helicopter model is presented as a hybrid system that covers hover and forward dynamics. By defining a set of easily accessible parameters, it can be used...

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Main Author: Baris Baspinar
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Aerospace
Subjects:
Online Access:https://www.mdpi.com/2226-4310/10/9/757
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author Baris Baspinar
author_facet Baris Baspinar
author_sort Baris Baspinar
collection DOAJ
description This paper focuses on robust controller design for a generic helicopter model and terrain avoidance problem via artificial intelligence (AI). The helicopter model is presented as a hybrid system that covers hover and forward dynamics. By defining a set of easily accessible parameters, it can be used to simulate the motion of different helicopter types. A robust control structure based on reinforcement learning is proposed to ensure the system is robust against model parameter uncertainties. The developed generic model can be utilized in many helicopter applications that have been attempted to be solved with sampling-based algorithms or reinforcement learning approaches that take the dynamical constraints into consideration. This study also focuses on the helicopter terrain avoidance problem to illustrate how the model can be useful in these types of applications and provide an artificial intelligence-aided solution to terrain avoidance.
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spelling doaj.art-7d35f2cad8ea484f9b601d424eb281522023-11-19T09:04:27ZengMDPI AGAerospace2226-43102023-08-0110975710.3390/aerospace10090757Robust Controller Design for a Generic Helicopter Model: An AI-Aided Application for Terrain AvoidanceBaris Baspinar0Department of Aeronautical Engineering, Istanbul Technical University, Istanbul 34485, TurkeyThis paper focuses on robust controller design for a generic helicopter model and terrain avoidance problem via artificial intelligence (AI). The helicopter model is presented as a hybrid system that covers hover and forward dynamics. By defining a set of easily accessible parameters, it can be used to simulate the motion of different helicopter types. A robust control structure based on reinforcement learning is proposed to ensure the system is robust against model parameter uncertainties. The developed generic model can be utilized in many helicopter applications that have been attempted to be solved with sampling-based algorithms or reinforcement learning approaches that take the dynamical constraints into consideration. This study also focuses on the helicopter terrain avoidance problem to illustrate how the model can be useful in these types of applications and provide an artificial intelligence-aided solution to terrain avoidance.https://www.mdpi.com/2226-4310/10/9/757helicopter modelrobust controller designterrain avoidanceartificial intelligencereinforcement learningAI-aided application
spellingShingle Baris Baspinar
Robust Controller Design for a Generic Helicopter Model: An AI-Aided Application for Terrain Avoidance
Aerospace
helicopter model
robust controller design
terrain avoidance
artificial intelligence
reinforcement learning
AI-aided application
title Robust Controller Design for a Generic Helicopter Model: An AI-Aided Application for Terrain Avoidance
title_full Robust Controller Design for a Generic Helicopter Model: An AI-Aided Application for Terrain Avoidance
title_fullStr Robust Controller Design for a Generic Helicopter Model: An AI-Aided Application for Terrain Avoidance
title_full_unstemmed Robust Controller Design for a Generic Helicopter Model: An AI-Aided Application for Terrain Avoidance
title_short Robust Controller Design for a Generic Helicopter Model: An AI-Aided Application for Terrain Avoidance
title_sort robust controller design for a generic helicopter model an ai aided application for terrain avoidance
topic helicopter model
robust controller design
terrain avoidance
artificial intelligence
reinforcement learning
AI-aided application
url https://www.mdpi.com/2226-4310/10/9/757
work_keys_str_mv AT barisbaspinar robustcontrollerdesignforagenerichelicoptermodelanaiaidedapplicationforterrainavoidance