Composite prescribed performance control of small unmanned aerial vehicles using modified nonlinear disturbance observer

被引:41
|
作者
Wu, Zhonghua [1 ]
Ni, Junkang [2 ]
Qian, Wei [1 ]
Bu, Xuhui [1 ]
Liu, Bojun [2 ]
机构
[1] Henan Polytech Univ, Sch Elect Engn & Automat, Jiaozuo 454000, Henan, Peoples R China
[2] Northwestern Polytech Univ, Sch Automat, Xian 710072, Peoples R China
基金
中国国家自然科学基金;
关键词
Prescribed performance control; Nonlinear disturbance observer; UAV; Predefined-time; SLIDING MODE CONTROL; BREATHING HYPERSONIC VEHICLES; ADAPTIVE NEURAL-CONTROL; DYNAMIC SURFACE CONTROL; TRACKING-CONTROL; CONTROL SCHEME; FLIGHT CONTROL; FEEDBACK-SYSTEMS; CONTROL DESIGN; QUADROTOR;
D O I
10.1016/j.isatra.2021.01.032
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An integrated control scheme composed of modified nonlinear disturbance observer and predefined-time prescribed performance control is proposed to address the high-accuracy tracking problem of the unmanned aerial vehicles (UAVs) subjected to external mismatched disturbances. By utilizing the transformation technique that incorporates the desired performance characteristic and the newly predefined-time performance function, the original controlled system can be transformed into a new unconstrained one to achieve the fixed-time convergence of the tracking error. Then, by virtual of the transformed unconstrained system, a modified nonlinear disturbance observer (NDO) which possesses fast convergence speed is established to estimate the external disturbance. With the application of the precise estimation value to compensate the normal control design in each back-stepping step, a novel composite control scheme is constructed. The light spot of the proposed scheme is that it not only has the superior capability to attenuate unknown mismatched disturbances, but also can guarantee that the output tracking errors converge to their prescribed regions within predefined time. Finally, simulation studies verify the effectiveness of the proposed control scheme. (C) 2021 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:30 / 45
页数:16
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