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Single Neural Adaptive PID Control for Small UAV Micro-Turbojet Engine

The micro-turbojet engine (MTE) is especially suitable for unmanned aerial vehicles (UAVs). Because the rotor speed is proportional to the thrust force, the accurate speed tracking control is indispensable for MTE. Thanks to its simplicity, the proportional–integral–derivative (PID) controller is co...

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Detalles Bibliográficos
Autores principales: Tang, Wei, Wang, Lijian, Gu, Jiawei, Gu, Yunfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014280/
https://www.ncbi.nlm.nih.gov/pubmed/31936223
http://dx.doi.org/10.3390/s20020345
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author Tang, Wei
Wang, Lijian
Gu, Jiawei
Gu, Yunfeng
author_facet Tang, Wei
Wang, Lijian
Gu, Jiawei
Gu, Yunfeng
author_sort Tang, Wei
collection PubMed
description The micro-turbojet engine (MTE) is especially suitable for unmanned aerial vehicles (UAVs). Because the rotor speed is proportional to the thrust force, the accurate speed tracking control is indispensable for MTE. Thanks to its simplicity, the proportional–integral–derivative (PID) controller is commonly used for rotor speed regulation. However, the PID controller cannot guarantee superior performance over the entire operation range due to the time-variance and strong nonlinearity of MTE. The gain scheduling approach using a family of linear controllers is recognized as an efficient alternative, but such a solution heavily relies on the model sets and pre-knowledge. To tackle such challenges, a single neural adaptive PID (SNA-PID) controller is proposed herein for rotor speed control. The new controller featuring with a single-neuron network is able to adaptively tune the gains (weights) online. The simple structure of the controller reduces the computational load and facilitates the algorithm implementation on low-cost hardware. Finally, the proposed controller is validated by numerical simulations and experiments on the MTE in laboratory conditions, and the results show that the proposed controller achieves remarkable effectiveness for speed tracking control. In comparison with the PID controller, the proposed controller yields 54% and 66% reductions on static tracking error under two typical cases.
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spelling pubmed-70142802020-03-09 Single Neural Adaptive PID Control for Small UAV Micro-Turbojet Engine Tang, Wei Wang, Lijian Gu, Jiawei Gu, Yunfeng Sensors (Basel) Article The micro-turbojet engine (MTE) is especially suitable for unmanned aerial vehicles (UAVs). Because the rotor speed is proportional to the thrust force, the accurate speed tracking control is indispensable for MTE. Thanks to its simplicity, the proportional–integral–derivative (PID) controller is commonly used for rotor speed regulation. However, the PID controller cannot guarantee superior performance over the entire operation range due to the time-variance and strong nonlinearity of MTE. The gain scheduling approach using a family of linear controllers is recognized as an efficient alternative, but such a solution heavily relies on the model sets and pre-knowledge. To tackle such challenges, a single neural adaptive PID (SNA-PID) controller is proposed herein for rotor speed control. The new controller featuring with a single-neuron network is able to adaptively tune the gains (weights) online. The simple structure of the controller reduces the computational load and facilitates the algorithm implementation on low-cost hardware. Finally, the proposed controller is validated by numerical simulations and experiments on the MTE in laboratory conditions, and the results show that the proposed controller achieves remarkable effectiveness for speed tracking control. In comparison with the PID controller, the proposed controller yields 54% and 66% reductions on static tracking error under two typical cases. MDPI 2020-01-08 /pmc/articles/PMC7014280/ /pubmed/31936223 http://dx.doi.org/10.3390/s20020345 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tang, Wei
Wang, Lijian
Gu, Jiawei
Gu, Yunfeng
Single Neural Adaptive PID Control for Small UAV Micro-Turbojet Engine
title Single Neural Adaptive PID Control for Small UAV Micro-Turbojet Engine
title_full Single Neural Adaptive PID Control for Small UAV Micro-Turbojet Engine
title_fullStr Single Neural Adaptive PID Control for Small UAV Micro-Turbojet Engine
title_full_unstemmed Single Neural Adaptive PID Control for Small UAV Micro-Turbojet Engine
title_short Single Neural Adaptive PID Control for Small UAV Micro-Turbojet Engine
title_sort single neural adaptive pid control for small uav micro-turbojet engine
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014280/
https://www.ncbi.nlm.nih.gov/pubmed/31936223
http://dx.doi.org/10.3390/s20020345
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