Research on path planning of multi-rotor UAV based on improved artificial potential field method

UAV needs sensor to fly in an environment with obstacles. However, UAV may not be able to move forward when it encounters a large obstacle, or UAV will be in a dangerous state when the sensor fails briefly which disturbed by the environment factors. In order to solve these problems, the following me...

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Main Authors: Liu Zhengqing, Wang Xinhua, Li Kangyi
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_07006.pdf
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author Liu Zhengqing
Wang Xinhua
Li Kangyi
author_facet Liu Zhengqing
Wang Xinhua
Li Kangyi
author_sort Liu Zhengqing
collection DOAJ
description UAV needs sensor to fly in an environment with obstacles. However, UAV may not be able to move forward when it encounters a large obstacle, or UAV will be in a dangerous state when the sensor fails briefly which disturbed by the environment factors. In order to solve these problems, the following methods are proposed in this paper. Aiming at the first problem, this paper proposes an improved APF method for path planning, and verified by simulation experiments that this method can find the optimal path. Aiming at the second problem, this paper proposes a solution to expand the range of obstacles and dynamically change the distance in the APF repulsion function. It is verified that the UAV can fly safely within the short time of the sensor problem by simulation experiments. In conclusion, this paper has an important reference value for the application of UAV online dynamic path planning in engineering.
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spelling doaj.art-fb6de0fcb09c43faacaa409069adbe702022-12-21T17:21:33ZengEDP SciencesMATEC Web of Conferences2261-236X2021-01-013360700610.1051/matecconf/202133607006matecconf_cscns20_07006Research on path planning of multi-rotor UAV based on improved artificial potential field methodLiu ZhengqingWang Xinhua0Li KangyiNanjing University of Aeronautics and AstronauticsUAV needs sensor to fly in an environment with obstacles. However, UAV may not be able to move forward when it encounters a large obstacle, or UAV will be in a dangerous state when the sensor fails briefly which disturbed by the environment factors. In order to solve these problems, the following methods are proposed in this paper. Aiming at the first problem, this paper proposes an improved APF method for path planning, and verified by simulation experiments that this method can find the optimal path. Aiming at the second problem, this paper proposes a solution to expand the range of obstacles and dynamically change the distance in the APF repulsion function. It is verified that the UAV can fly safely within the short time of the sensor problem by simulation experiments. In conclusion, this paper has an important reference value for the application of UAV online dynamic path planning in engineering.https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_07006.pdf
spellingShingle Liu Zhengqing
Wang Xinhua
Li Kangyi
Research on path planning of multi-rotor UAV based on improved artificial potential field method
MATEC Web of Conferences
title Research on path planning of multi-rotor UAV based on improved artificial potential field method
title_full Research on path planning of multi-rotor UAV based on improved artificial potential field method
title_fullStr Research on path planning of multi-rotor UAV based on improved artificial potential field method
title_full_unstemmed Research on path planning of multi-rotor UAV based on improved artificial potential field method
title_short Research on path planning of multi-rotor UAV based on improved artificial potential field method
title_sort research on path planning of multi rotor uav based on improved artificial potential field method
url https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_07006.pdf
work_keys_str_mv AT liuzhengqing researchonpathplanningofmultirotoruavbasedonimprovedartificialpotentialfieldmethod
AT wangxinhua researchonpathplanningofmultirotoruavbasedonimprovedartificialpotentialfieldmethod
AT likangyi researchonpathplanningofmultirotoruavbasedonimprovedartificialpotentialfieldmethod