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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472391/ https://www.ncbi.nlm.nih.gov/pubmed/32784693 http://dx.doi.org/10.3390/s20164411 |
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author | Tang, Hongyan Zhang, Dan Gan, Zhongxue |
author_facet | Tang, Hongyan Zhang, Dan Gan, Zhongxue |
author_sort | Tang, Hongyan |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7472391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74723912020-09-04 Control System for Vertical Take-Off and Landing Vehicle’s Adaptive Landing Based on Multi-Sensor Data Fusion Tang, Hongyan Zhang, Dan Gan, Zhongxue Sensors (Basel) Article 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. MDPI 2020-08-07 /pmc/articles/PMC7472391/ /pubmed/32784693 http://dx.doi.org/10.3390/s20164411 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, Hongyan Zhang, Dan Gan, Zhongxue Control System for Vertical Take-Off and Landing Vehicle’s Adaptive Landing Based on Multi-Sensor Data Fusion |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472391/ https://www.ncbi.nlm.nih.gov/pubmed/32784693 http://dx.doi.org/10.3390/s20164411 |
work_keys_str_mv | AT tanghongyan controlsystemforverticaltakeoffandlandingvehiclesadaptivelandingbasedonmultisensordatafusion AT zhangdan controlsystemforverticaltakeoffandlandingvehiclesadaptivelandingbasedonmultisensordatafusion AT ganzhongxue controlsystemforverticaltakeoffandlandingvehiclesadaptivelandingbasedonmultisensordatafusion |