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ESO-based robust and high-precision tracking control for aerial manipulation

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posted on 2023-03-30, 15:28 authored by Huazi Cao, Yongqi Li, Cunjia LiuCunjia Liu, Shiyu Zhao

This paper studies the tracking control problem of an aerial manipulator that consists of a quadcopter flying base and a Delta robotic arm. We propose a novel control approach that consists of extended state observers (ESOs) for dynamic coupling estimation, ESO-based flight controllers, and a cooperative trajectory planner. Compared to the state-of-the-art approaches, the proposed one has some attractive features. First, it requires much less measurement information as opposed to the full-body control approaches and hence can be implemented conveniently and efficiently in practice. Second, while the existing approaches estimate the coupling effect based on precise models, the proposed ESOs can do that based on much less information about the system model. The proposed approach is verified by four experiments on a real aerial manipulation platform. The experimental results show that the average tracking error can reach 1 cm by the proposed approach as opposed to 10 cm by the PX4 baseline controller. Although force control is not considered specifically in the approach, the system can complete aerial weaving tasks thanks to the ESOs in the presence of drag forces applied to the end-effector during manipulation. Note to Practitioners —Aerial manipulators have received increasing research attention in recent years due to their wide range of applications. In this paper, we particularly focus on the high-precision and robust control of aerial manipulators. We propose a novel control approach that consists of extended state observers (ESOs) for dynamic coupling estimation, ESO-based flight controllers, and a cooperative trajectory planner. Four experiments on a real aerial manipulation platform demonstrate the effectiveness of the approach. In future research, we will address the control problem when the aerial manipulator contacts the environment. 

Funding

Research Center for Industries of the Future (RCIF) at Westlake University (Grant Number: WU2022C027)

Hangzhou Key Technology Research and Development Program (Grant Number: 20200416A16)

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

IEEE Transactions on Automation Science and Engineering

Volume

21

Issue

2

Pages

2139 - 2155

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2023-03-18

Publication date

2023-03-28

Copyright date

2023

ISSN

1545-5955

eISSN

1558-3783

Language

  • en

Depositor

Dr Cunjia Liu. Deposit date: 29 March 2023

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