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High-order sliding mode observer-based trajectory tracking control for a quadrotor UAV with uncertain dynamics

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journal contribution
posted on 2022-02-22, 10:22 authored by Zhenhua Zhao, Dong Cao, Jun YangJun Yang, Huiming Wang
This paper investigates the trajectory tracking problem of the quadrotor unmanned aerial vehicles (UAV) with consideration of both attitude and position dynamics. First of all, the trajectory tracking problem is divided into the commands tracking in position and attitude loops by introducing the virtual attitude angle commands. Secondly, the high-order sliding mode observers (HSMOs) are introduced to estimate the lumped disturbances in position loop and the derivatives of the attitude angle tracking errors, the lumped disturbances in the attitude loop. And then the composite nonlinear dynamical inversion controller in position loop and the composite nonsingular terminal sliding mode controller in attitude loop are constructed by introducing the estimation information of HSMOs into controller design process. Finally, the simulations based on the data of a practical UAV are carried out to verify the effectiveness of the proposed method.

Funding

Natural Science Foundation of China (Nos. 61903192, 61803059)

Natural Science Foundation of Jiangsu (No. BK20190402)

Project Program of Ministry of Education, Key Laboratory of Measurement and CSE (No. MCCSE2019A01)

Shenzhen Science and Technology Innovation Committee (JCYJ20190813152603594)

Innovation Team Project of Chongqing Education Committee (CXTDX201601019)

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Nonlinear Dynamics

Volume

102

Issue

4

Pages

2583 - 2596

Publisher

Springer

Version

  • AM (Accepted Manuscript)

Rights holder

© Springer Nature B.V.

Publisher statement

This paper was accepted for publication in the journal Nonlinear Dynamics and the definitive published version is available at https://doi.org/10.1007/s11071-020-06050-2.

Acceptance date

2020-10-21

Publication date

2020-11-03

Copyright date

2020

ISSN

0924-090X

eISSN

1573-269X

Language

  • en

Depositor

Dr Jun Yang. Deposit date: 22 February 2022

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