Control System for Vertical Take-off and Landing Vehicle’s Adaptive Landing Based on Multi-Sensor Data Fusion

Vertical take-off and landing unmanned aerial vehicles (VTOL UAV) are widely used in various fields because of their stable flight, easy operation, and low requirements for take-off and landing environments. To further expand the UAV’s take-off and landing environment to include a non-structural com...

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Main Authors: Hongyan Tang, Dan Zhang, Zhongxue Gan
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/16/4411
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spelling doaj-2f33836daac84a81814d946a01de7fef2020-11-25T03:48:31ZengMDPI AGSensors1424-82202020-08-01204411441110.3390/s20164411Control System for Vertical Take-off and Landing Vehicle’s Adaptive Landing Based on Multi-Sensor Data FusionHongyan Tang0Dan Zhang1Zhongxue Gan2Institute of AI and Robotics, Academy for Engineering & Technology, Fudan University, Shanghai 200433, ChinaInstitute of AI and Robotics, Academy for Engineering & Technology, Fudan University, Shanghai 200433, ChinaInstitute of AI and Robotics, Academy for Engineering & Technology, Fudan University, Shanghai 200433, ChinaVertical take-off and landing unmanned aerial vehicles (VTOL UAV) are widely used in various fields because of their stable flight, easy operation, and low requirements for take-off and landing environments. To further expand the UAV’s take-off and landing environment to include a non-structural complex environment, this study developed a landing gear robot for VTOL vehicles. This article mainly introduces the adaptive landing control of the landing gear robot in an unstructured environment. Based on the depth camera (TOF camera), IMU, and optical flow sensor, the control system achieves multi-sensor data fusion and uses a robotic kinematical model to achieve adaptive landing. Finally, this study verifies the feasibility and effectiveness of adaptive landing through experiments.https://www.mdpi.com/1424-8220/20/16/4411landing gearadaptive landingdata fusion
collection DOAJ
language English
format Article
sources DOAJ
author Hongyan Tang
Dan Zhang
Zhongxue Gan
spellingShingle Hongyan Tang
Dan Zhang
Zhongxue Gan
Control System for Vertical Take-off and Landing Vehicle’s Adaptive Landing Based on Multi-Sensor Data Fusion
Sensors
landing gear
adaptive landing
data fusion
author_facet Hongyan Tang
Dan Zhang
Zhongxue Gan
author_sort Hongyan Tang
title Control System for Vertical Take-off and Landing Vehicle’s Adaptive Landing Based on Multi-Sensor Data Fusion
title_short Control System for Vertical Take-off and Landing Vehicle’s Adaptive Landing Based on Multi-Sensor Data Fusion
title_full Control System for Vertical Take-off and Landing Vehicle’s Adaptive Landing Based on Multi-Sensor Data Fusion
title_fullStr Control System for Vertical Take-off and Landing Vehicle’s Adaptive Landing Based on Multi-Sensor Data Fusion
title_full_unstemmed Control System for Vertical Take-off and Landing Vehicle’s Adaptive Landing Based on Multi-Sensor Data Fusion
title_sort control system for vertical take-off and landing vehicle’s adaptive landing based on multi-sensor data fusion
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-08-01
description Vertical take-off and landing unmanned aerial vehicles (VTOL UAV) are widely used in various fields because of their stable flight, easy operation, and low requirements for take-off and landing environments. To further expand the UAV’s take-off and landing environment to include a non-structural complex environment, this study developed a landing gear robot for VTOL vehicles. This article mainly introduces the adaptive landing control of the landing gear robot in an unstructured environment. Based on the depth camera (TOF camera), IMU, and optical flow sensor, the control system achieves multi-sensor data fusion and uses a robotic kinematical model to achieve adaptive landing. Finally, this study verifies the feasibility and effectiveness of adaptive landing through experiments.
topic landing gear
adaptive landing
data fusion
url https://www.mdpi.com/1424-8220/20/16/4411
work_keys_str_mv AT hongyantang controlsystemforverticaltakeoffandlandingvehiclesadaptivelandingbasedonmultisensordatafusion
AT danzhang controlsystemforverticaltakeoffandlandingvehiclesadaptivelandingbasedonmultisensordatafusion
AT zhongxuegan controlsystemforverticaltakeoffandlandingvehiclesadaptivelandingbasedonmultisensordatafusion
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