Event-triggered robust control for quadrotors with preassigned time performance constraints

被引:42
|
作者
Shao, Xingling [1 ,2 ]
Yue, Xiaohui [1 ,2 ]
Li, Jie [1 ,2 ]
机构
[1] North Univ China, Key Lab Instrumentat Sci & Dynam Measurement, Minist Educ, Taiyuan 030051, Peoples R China
[2] North Univ China, Sch Instrument & Elect, Natl Key Lab Elect Measurement Technol, Taiyuan 030051, Peoples R China
基金
中国国家自然科学基金; 山西省青年科学基金;
关键词
Preassigned time performance constraints; Quadrotors; Tracking differentiator; Extended state observer; Event-triggered; SLIDING-MODE CONTROL; TRAJECTORY TRACKING CONTROL; DYNAMIC SURFACE CONTROL; SYSTEMS; OBSERVER; OUTPUT; POSITION; UAV;
D O I
10.1016/j.amc.2020.125667
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, an event-triggered robust control for quadrotors with preassigned time performance constraints is presented. In order to prolong operational time and enhance mission completion efficiency subject to limited onboard power, a switching threshold event triggered strategy is embedded in controller-to-actuator and sensor-to-controller channels, where switching threshold event-triggered based extended state observers (SET-ESO) are respectively established in the trajectory and attitude subsystems to accomplish the realtime estimation of linear velocity, angular velocity along with lumped disturbances using intermittent measurements, and the quantitative analysis between the ultimate observation error and parameters of SET-ESO is revealed. Based on the estimation results, an event-triggered output feedback control law including a robust compensation term is established to realize an anti-disturbance time-varying trajectory tracking without involving Zeno phenomena. Moreover, to eliminate severe fluctuations at the transient inherent in traditional prescribed performance control (TPPC) with a fast convergent rate, a tracking differentiator-based prescribed performance control (TDPPC) mechanism is exploited to ensure the trajectory state converge to a pre-given region with a preassigned prescribed time, such that a smooth and pre-specified finite-time tracking capability independent of control parameters is preserved. Next, with the aid of Lyapunov synthesis, all the signals involved in the closed-loop quadrotor system are proved to be bounded, and the preassigned time performance constraints are not violated. The simulation and comparison results are shown to validate the effectiveness of the proposed control scheme. (c) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] Distributed adaptive event-triggered formation fault-tolerant control for multiple quadrotors
    Luo, Ming-Min
    Jun, Wang
    MEASUREMENT & CONTROL, 2024,
  • [42] Event-triggered dynamic surface control for nonlinear system with constraints
    Zhang, Hongye
    Li, Meng
    Chen, Yong
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2022,
  • [43] Dynamic event-triggered control of nonlinear system with state constraints
    Wang, Fang
    Gao, Zikai
    He, Shan
    Zhou, Chao
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2025,
  • [44] Design of Event-Triggered Control for Networked Systems with Communication Constraints
    Molin, Adam
    Hirche, Sandra
    AT-AUTOMATISIERUNGSTECHNIK, 2012, 60 (08) : 476 - 486
  • [45] Event-triggered robust model predictive control of continuous-time nonlinear systems
    Li, Huiping
    Shi, Yang
    AUTOMATICA, 2014, 50 (05) : 1507 - 1513
  • [46] Dynamic Thresholds in Robust Event-Triggered Control for Discrete-Time Linear Systems
    Brunner, F. I.
    Heemels, W. P. M. H.
    Allgoewer, F.
    2016 EUROPEAN CONTROL CONFERENCE (ECC), 2016, : 983 - 988
  • [47] Adaptive event-triggered control for quadrotor aircraft with output constraints
    Wang, Jie
    Wang, Ping
    Ma, Xiao
    AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 105 (105)
  • [48] Robust Event-Triggered Control Invariance of Probabilistic Boolean Control Networks
    Lin, Lin
    Cao, Jinde
    Rutkowski, Leszek
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (03) : 1060 - 1065
  • [49] Event-triggered control for robust set stabilization of logical control networks
    Li, Yalu
    Li, Haitao
    Sun, Weiwei
    AUTOMATICA, 2018, 95 : 556 - 560
  • [50] Robust Dynamic Event-triggered Control for Linear Uncertain System
    Tripathy, Niladri Sekhar
    Kar, I. N.
    Paul, Kolin
    IFAC PAPERSONLINE, 2016, 49 (01): : 207 - 212