A Novel Aerial Manipulator with Front Cutting Effector: Modeling, Control, and Evaluation

This paper proposes a novel aerial manipulator with front cutting effector (AMFCE) to address the aerial physical interaction (APhI) problem. First, the system uncertainty and external disturbance during the system movement and contact operation are estimated by modeling the entire robot and contact...

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Main Authors: Hao Xu, Zhong Yang, Guoxing Zhou, Luwei Liao, Changliang Xu, Jiying Wu, Qiuyan Zhang, Chi Zhang
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/5695681
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spelling doaj-37fecf31fba5414c978bb9fbb1f1be812021-08-30T00:00:37ZengHindawi-WileyComplexity1099-05262021-01-01202110.1155/2021/5695681A Novel Aerial Manipulator with Front Cutting Effector: Modeling, Control, and EvaluationHao Xu0Zhong Yang1Guoxing Zhou2Luwei Liao3Changliang Xu4Jiying Wu5Qiuyan Zhang6Chi Zhang7College of Automation EngineeringCollege of Automation EngineeringResearch Institute of UAVCollege of Automation EngineeringCollege of Automation EngineeringCollege of Automation EngineeringGuizhou Electric Power Research InstituteCollege of Automation EngineeringThis paper proposes a novel aerial manipulator with front cutting effector (AMFCE) to address the aerial physical interaction (APhI) problem. First, the system uncertainty and external disturbance during the system movement and contact operation are estimated by modeling the entire robot and contact position. Next, based on the established model, the nonlinear disturbance observer (NDO) is used to estimate and compensate the unknown external disturbance of the system and the uncertainty of the model parameters in real time. Then, the nonsingular terminal synovial membrane control method is used to suppress the part that is difficult to estimate. Finally, a controller which is suitable for the movement and operation of the entire system is designed. The controller’s performance is verified through experiments, and the results show that the design, modeling, and control of the entire system can achieve the APhI.http://dx.doi.org/10.1155/2021/5695681
collection DOAJ
language English
format Article
sources DOAJ
author Hao Xu
Zhong Yang
Guoxing Zhou
Luwei Liao
Changliang Xu
Jiying Wu
Qiuyan Zhang
Chi Zhang
spellingShingle Hao Xu
Zhong Yang
Guoxing Zhou
Luwei Liao
Changliang Xu
Jiying Wu
Qiuyan Zhang
Chi Zhang
A Novel Aerial Manipulator with Front Cutting Effector: Modeling, Control, and Evaluation
Complexity
author_facet Hao Xu
Zhong Yang
Guoxing Zhou
Luwei Liao
Changliang Xu
Jiying Wu
Qiuyan Zhang
Chi Zhang
author_sort Hao Xu
title A Novel Aerial Manipulator with Front Cutting Effector: Modeling, Control, and Evaluation
title_short A Novel Aerial Manipulator with Front Cutting Effector: Modeling, Control, and Evaluation
title_full A Novel Aerial Manipulator with Front Cutting Effector: Modeling, Control, and Evaluation
title_fullStr A Novel Aerial Manipulator with Front Cutting Effector: Modeling, Control, and Evaluation
title_full_unstemmed A Novel Aerial Manipulator with Front Cutting Effector: Modeling, Control, and Evaluation
title_sort novel aerial manipulator with front cutting effector: modeling, control, and evaluation
publisher Hindawi-Wiley
series Complexity
issn 1099-0526
publishDate 2021-01-01
description This paper proposes a novel aerial manipulator with front cutting effector (AMFCE) to address the aerial physical interaction (APhI) problem. First, the system uncertainty and external disturbance during the system movement and contact operation are estimated by modeling the entire robot and contact position. Next, based on the established model, the nonlinear disturbance observer (NDO) is used to estimate and compensate the unknown external disturbance of the system and the uncertainty of the model parameters in real time. Then, the nonsingular terminal synovial membrane control method is used to suppress the part that is difficult to estimate. Finally, a controller which is suitable for the movement and operation of the entire system is designed. The controller’s performance is verified through experiments, and the results show that the design, modeling, and control of the entire system can achieve the APhI.
url http://dx.doi.org/10.1155/2021/5695681
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