Improved Back-Stepping Control for Nonlinear Small UAV Systems With Transient Prescribed Performance Design

This paper proposes an improved back-stepping control approach and its application to small nonlinear UAV control systems with uncertainties such as external disturbance. Unlike traditional back-stepping control methods, the idea of prescribed performance function (PPF) is incorporated into the cont...

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Main Authors: Jiaqi Gu, Ruisheng Sun, Jieqing Chen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9534897/
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spelling doaj-adde52eb3bd34d5b8d21707ce68502d62021-09-23T23:00:27ZengIEEEIEEE Access2169-35362021-01-01912878612879810.1109/ACCESS.2021.31116199534897Improved Back-Stepping Control for Nonlinear Small UAV Systems With Transient Prescribed Performance DesignJiaqi Gu0https://orcid.org/0000-0003-1814-7062Ruisheng Sun1https://orcid.org/0000-0001-9761-3863Jieqing Chen2School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing, ChinaThis paper proposes an improved back-stepping control approach and its application to small nonlinear UAV control systems with uncertainties such as external disturbance. Unlike traditional back-stepping control methods, the idea of prescribed performance function (PPF) is incorporated into the control design, such that both the transient and steady-state control performance can be strictly guaranteed. Moreover, we design a novel tracking differentiator to avoid the “differential expansion” problem well caused by the calculation of derivative. Significantly, the function approximators (e.g. neural networks) that are widely used to address the unknown nonlinearities in the nonlinear control designs are not needed. Finally, the numerical simulation verifies the convergence and robustness of the system, and the results show that the control strategy can obtain better transient and steady-state performance.https://ieeexplore.ieee.org/document/9534897/Back-stepping controlnonlinear controlprescribed performance functionrobust controltracking differentiator
collection DOAJ
language English
format Article
sources DOAJ
author Jiaqi Gu
Ruisheng Sun
Jieqing Chen
spellingShingle Jiaqi Gu
Ruisheng Sun
Jieqing Chen
Improved Back-Stepping Control for Nonlinear Small UAV Systems With Transient Prescribed Performance Design
IEEE Access
Back-stepping control
nonlinear control
prescribed performance function
robust control
tracking differentiator
author_facet Jiaqi Gu
Ruisheng Sun
Jieqing Chen
author_sort Jiaqi Gu
title Improved Back-Stepping Control for Nonlinear Small UAV Systems With Transient Prescribed Performance Design
title_short Improved Back-Stepping Control for Nonlinear Small UAV Systems With Transient Prescribed Performance Design
title_full Improved Back-Stepping Control for Nonlinear Small UAV Systems With Transient Prescribed Performance Design
title_fullStr Improved Back-Stepping Control for Nonlinear Small UAV Systems With Transient Prescribed Performance Design
title_full_unstemmed Improved Back-Stepping Control for Nonlinear Small UAV Systems With Transient Prescribed Performance Design
title_sort improved back-stepping control for nonlinear small uav systems with transient prescribed performance design
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description This paper proposes an improved back-stepping control approach and its application to small nonlinear UAV control systems with uncertainties such as external disturbance. Unlike traditional back-stepping control methods, the idea of prescribed performance function (PPF) is incorporated into the control design, such that both the transient and steady-state control performance can be strictly guaranteed. Moreover, we design a novel tracking differentiator to avoid the “differential expansion” problem well caused by the calculation of derivative. Significantly, the function approximators (e.g. neural networks) that are widely used to address the unknown nonlinearities in the nonlinear control designs are not needed. Finally, the numerical simulation verifies the convergence and robustness of the system, and the results show that the control strategy can obtain better transient and steady-state performance.
topic Back-stepping control
nonlinear control
prescribed performance function
robust control
tracking differentiator
url https://ieeexplore.ieee.org/document/9534897/
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AT ruishengsun improvedbacksteppingcontrolfornonlinearsmalluavsystemswithtransientprescribedperformancedesign
AT jieqingchen improvedbacksteppingcontrolfornonlinearsmalluavsystemswithtransientprescribedperformancedesign
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