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
相关论文
共 50 条
  • [21] Nonlinear Robust Stochastic Control for Unmanned Aerial Vehicles
    Xu, Yunjun
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2009, 32 (04) : 1308 - 1319
  • [22] Nonlinear Disturbance Observer-Based Bearing-Only Unmanned Aerial Vehicle Formation Control
    Ding, Can
    Zhang, Jing
    Zhang, Zhe
    AXIOMS, 2023, 12 (08)
  • [23] In-Ground-Effect Modeling and Nonlinear-Disturbance Observer for Multirotor Unmanned Aerial Vehicle Control
    He, Xiang
    Kou, Gordon
    Calaf, Marc
    Leang, Kam K.
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2019, 141 (07):
  • [24] Disturbance observer-based discrete-time neural control for unmanned aerial vehicles with uncertainties and disturbances
    Shao, Shuyi
    Chen, Mou
    Mei, Rong
    IFAC PAPERSONLINE, 2017, 50 (01): : 15289 - 15294
  • [25] Ground effects compensation for an unmanned aerial vehicle via nonlinear disturbance observer
    Xian B.
    Li J.-Q.
    Gu X.
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2022, 52 (08): : 1926 - 1933
  • [26] A fast finite-time convergent guidance observer for unmanned aerial vehicles law with nonlinear disturbance collision avoidance
    Zhang, Ning
    Gai, Wendong
    Zhong, Maiying
    Zhang, Jing
    AEROSPACE SCIENCE AND TECHNOLOGY, 2019, 86 : 204 - 214
  • [27] Composite Nonlinear Control for Near Space Vehicles with Input Saturation Based on Disturbance Observer
    Yang, Qingyun
    Chen, Mou
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 2763 - 2768
  • [28] Sliding mode observer and backstepping control for a quadrotor unmanned aerial vehicles
    Madani, Tarek
    Benallegue, Abdelaziz
    2007 AMERICAN CONTROL CONFERENCE, VOLS 1-13, 2007, : 2462 - 2467
  • [29] A Nonlinear Model-Based Wind Velocity Observer for Unmanned Aerial Vehicles
    Borup, Kasper T.
    Fossen, Thor I.
    Johansen, Tor A.
    IFAC PAPERSONLINE, 2016, 49 (18): : 276 - 283
  • [30] Adaptive neural prescribed performance output feedback control of pure feedback nonlinear systems using disturbance observer
    Chen, Longsheng
    Yang, Hui
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2020, 34 (04) : 520 - 542