A Neural Network Based Landing Method for an Unmanned Aerial Vehicle with Soft Landing Gears

This paper presents the design, implementation, and testing of a soft landing gear together with a neural network-based control method for replicating avian landing behavior on non-flat surfaces. With full consideration of unmanned aerial vehicles and landing gear requirements, a quadrotor helicopte...

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Main Authors: Cai Luo, Weikang Zhao, Zhenpeng Du, Leijian Yu
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/9/15/2976
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author Cai Luo
Weikang Zhao
Zhenpeng Du
Leijian Yu
author_facet Cai Luo
Weikang Zhao
Zhenpeng Du
Leijian Yu
author_sort Cai Luo
collection DOAJ
description This paper presents the design, implementation, and testing of a soft landing gear together with a neural network-based control method for replicating avian landing behavior on non-flat surfaces. With full consideration of unmanned aerial vehicles and landing gear requirements, a quadrotor helicopter, comprised of one flying unit and one landing assistance unit, is employed. Considering the touchdown speed and posture, a novel design of a soft mechanism for non-flat surfaces is proposed, in order to absorb the remaining landing impact. The framework of the control strategy is designed based on a derived dynamic model. A neural network-based backstepping controller is applied to achieve the desired trajectory. The simulation and outdoor testing results attest to the effectiveness and reliability of the proposed control method.
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spelling doaj.art-db2586913bb14f48a23db7e8f70d51d12022-12-21T19:00:45ZengMDPI AGApplied Sciences2076-34172019-07-01915297610.3390/app9152976app9152976A Neural Network Based Landing Method for an Unmanned Aerial Vehicle with Soft Landing GearsCai Luo0Weikang Zhao1Zhenpeng Du2Leijian Yu3College of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, ChinaCollege of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao 266580, ChinaSchool of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, ChinaDepartment of Design, Manufacture & Engineering Management, University of Strathclyde, Glasgow G1 1XJ, UKThis paper presents the design, implementation, and testing of a soft landing gear together with a neural network-based control method for replicating avian landing behavior on non-flat surfaces. With full consideration of unmanned aerial vehicles and landing gear requirements, a quadrotor helicopter, comprised of one flying unit and one landing assistance unit, is employed. Considering the touchdown speed and posture, a novel design of a soft mechanism for non-flat surfaces is proposed, in order to absorb the remaining landing impact. The framework of the control strategy is designed based on a derived dynamic model. A neural network-based backstepping controller is applied to achieve the desired trajectory. The simulation and outdoor testing results attest to the effectiveness and reliability of the proposed control method.https://www.mdpi.com/2076-3417/9/15/2976unmanned aerial vehicleneural networksoft landing gear
spellingShingle Cai Luo
Weikang Zhao
Zhenpeng Du
Leijian Yu
A Neural Network Based Landing Method for an Unmanned Aerial Vehicle with Soft Landing Gears
Applied Sciences
unmanned aerial vehicle
neural network
soft landing gear
title A Neural Network Based Landing Method for an Unmanned Aerial Vehicle with Soft Landing Gears
title_full A Neural Network Based Landing Method for an Unmanned Aerial Vehicle with Soft Landing Gears
title_fullStr A Neural Network Based Landing Method for an Unmanned Aerial Vehicle with Soft Landing Gears
title_full_unstemmed A Neural Network Based Landing Method for an Unmanned Aerial Vehicle with Soft Landing Gears
title_short A Neural Network Based Landing Method for an Unmanned Aerial Vehicle with Soft Landing Gears
title_sort neural network based landing method for an unmanned aerial vehicle with soft landing gears
topic unmanned aerial vehicle
neural network
soft landing gear
url https://www.mdpi.com/2076-3417/9/15/2976
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