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

被引:29
|
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
相关论文
共 50 条
  • [1] Distributed prescribed performance containment control for unmanned surface vehicles based on disturbance observer
    Qu, Yaohong
    Zhao, Wenbi
    Yu, Ziquan
    Xiao, Bing
    ISA TRANSACTIONS, 2022, 125 (699-706) : 699 - 706
  • [2] Robust attitude control of a quadrotor unmanned aerial vehicles using optimized disturbance observer
    Jong-Nam, Yun
    Yong-Il, Kim
    Su-Yong, Paek
    Yong-Sim, Ri
    Hae-Yong, Kim
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2022, 43 (04): : 1241 - 1256
  • [3] Disturbance Observer Based Target Tracking Control for Unmanned Aerial Vehicles
    Yong, Kenan
    Wu, Qingxian
    Chen, Mou
    2017 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS), 2017, : 173 - 177
  • [4] Disturbance Observer Based Control of Small Unmanned Aerial Rotorcraft
    Lei, Xusheng
    Guo, Kexin
    Ge, Shuzhi Sam
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 2013
  • [5] Robust Control for Unmanned Aerial Vehicles Formation Based on Adaptive Disturbance Observer
    Li Bing-qian
    Zong Mu-zhou
    Che Hua
    Xiong Zhi-long
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 5243 - 5248
  • [6] Research on trajectory tracking control of ocean unmanned aerial vehicles based on disturbance observer and nonlinear sliding mode
    Ding, Weitao
    Wei, Danni
    Diao, Yiwen
    Yang, Chenglin
    Zhang, Xinyu
    Zhang, Xiaofei
    Huang, Haocai
    OCEAN ENGINEERING, 2024, 293
  • [7] Finite-time stable disturbance observer for unmanned aerial vehicles
    Bhale, Pradhyumn
    Kumar, Mrinal
    Sanyal, Amit K.
    2022 AMERICAN CONTROL CONFERENCE, ACC, 2022, : 5010 - 5015
  • [8] Tracking control of multiple unmanned aerial vehicles incorporating disturbance observer and model predictive approach
    Zhang, Boyang
    Sun, Xiuxia
    Liu, Shuguang
    Deng, Xiongfeng
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2020, 42 (05) : 951 - 964
  • [9] Trajectory Tracking Predictive Control for Unmanned Surface Vehicles with Improved Nonlinear Disturbance Observer
    Fu, Huixuan
    Yao, Wenjing
    Cajo, Ricardo
    Zhao, Shiquan
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 11 (10)
  • [10] Prescribed Performance Adaptive Fuzzy Containment Control for Nonlinear Multiagent Systems Using Disturbance Observer
    Wang, Wei
    Liang, Hongjing
    Pan, Yingnan
    Li, Tieshan
    IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (09) : 3879 - 3891