Simplified global fault accommodation control design of uncertain nonlinear systems with unknown time-varying powers

被引:7
作者
Yoo, Sung Jin [1 ]
机构
[1] Chung Ang Univ, Sch Elect & Elect Engn, 84 Heukseok Ro, Seoul 06974, South Korea
基金
新加坡国家研究基金会;
关键词
Global fault accommodation tracking; Unexpected faults; Unknown time-varying powers; Low-complexity design; Guaranteed tracking performance; STATE-FEEDBACK STABILIZATION; APPROXIMATION-FREE CONTROL; ADAPTIVE-CONTROL; PRESCRIBED PERFORMANCE; PRACTICAL TRACKING; OUTPUT TRACKING; QUALITY;
D O I
10.1007/s11071-019-05341-7
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper addresses the problem of global robust fault accommodation tracking for a class of uncertain nonlinear systems with unknown powers and actuator faults. It is assumed that the powers of the concerned system are unknown time-varying functions, all system nonlinearities are unknown, and unknown actuator faults depend on the time-varying power of a control input. A fault accommodation state-feedback controller is explicitly constructed based on the nonlinear error transformation technique using time-varying performance functions. Global tracking with the preselected performance bounds is established in the presence of unknown time-varying powers and unexpected actuator faults. Different from the previous results dealing with the problem of unknown time-varying powers, the proposed tracking strategy does not require the knowledge of the bounds of the time-varying powers and the nonlinear bounding functions of system nonlinearities. An underactuated mechanical system is simulated to validate the effectiveness of the proposed theoretical approach.
引用
收藏
页码:1115 / 1128
页数:14
相关论文
共 49 条
  • [1] Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance
    Bechlioulis, Charalampos P.
    Rovithakis, George A.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 53 (09) : 2090 - 2099
  • [2] A low-complexity global approximation-free control scheme with prescribed performance for unknown pure feedback systems
    Bechlioulis, Charalampos P.
    Rovithakis, George A.
    [J]. AUTOMATICA, 2014, 50 (04) : 1217 - 1226
  • [3] Prescribed Performance Adaptive Control for Multi-Input Multi-Output Affine in the Control Nonlinear Systems
    Bechlioulis, Charalampos P.
    Rovithakis, George A.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2010, 55 (05) : 1220 - 1226
  • [4] Adaptive finite-time control for uncertain nonlinear systems with application to mechanical systems
    Cai, Mingjie
    Xiang, Zhengrong
    Guo, Jian
    [J]. NONLINEAR DYNAMICS, 2016, 84 (02) : 943 - 958
  • [5] Smooth output feedback stabilization for a class of nonlinear systems with time-varying powers
    Chen, Chih-Chiang
    Qian, Chunjiang
    Lin, Xiangze
    Sun, Zong-Yao
    Liang, Yew-Wen
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2017, 27 (18) : 5113 - 5128
  • [6] Decentralized approximation-free control for uncertain large-scale pure-feedback systems with unknown time-delayed nonlinearities and control directions
    Choi, Yun Ho
    Yoo, Sung Jin
    [J]. NONLINEAR DYNAMICS, 2016, 85 (02) : 1053 - 1066
  • [7] Global finite-time stabilization of a class of switched nonlinear systems with the powers of positive odd rational numbers
    Fu, Jun
    Ma, Ruicheng
    Chai, Tianyou
    [J]. AUTOMATICA, 2015, 54 : 360 - 373
  • [8] Global stabilization of high-order nonlinear systems under multi-rate sampled-data control
    Jia, Jinping
    Chen, Weisheng
    Dai, Hao
    Li, Jing
    [J]. NONLINEAR DYNAMICS, 2018, 94 (04) : 2441 - 2453
  • [9] Khalil H. K., 2002, Nonlinear systems, V3
  • [10] Adaptive Dynamic Output Feedback Neural Network Control of Uncertain MIMO Nonlinear Systems with Prescribed Performance
    Kostarigka, Artemis K.
    Rovithakis, George A.
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2012, 23 (01) : 138 - 149