Adaptive tracking control-based Nussbaum gain for a class of multi-input and multi-output nonlinear systems with time-varying state constraints

被引:0
|
作者
Feng, Xingkai [1 ]
Wang, Congqing [1 ,2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Dept Automat Control, 29,Jiang Jun St, Nanjing 211100, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive backstepping; full-state constraints; barrier Lyapunov function; Nussbaum gain; aircraft skin inspection robot; BARRIER LYAPUNOV FUNCTIONS; NEURAL-CONTROL;
D O I
10.1177/09596518231222038
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article studies an adaptive backstepping barrier Lyapunov function-based control scheme for a class of multi-input and multi-output nonlinear systems in the presence of time-varying asymmetric full-state constraints and external disturbances. Simultaneously, a prominent feature of these systems is the unknown time-varying control direction. To stabilize such systems, Nussbaum gain technique is constructively framed to overcome the unknown control direction problem. To prevent that the constraints are overstepped, the time-varying asymmetric barrier Lyapunov functions are employed in each step of the backstepping design. The design involves an adaptive-based online approximator to cope with unknown dynamics of the system. A simulation example on aircraft skin inspection robot with three-dimensional trajectory is given to show the effectiveness of the proposed control scheme.
引用
收藏
页码:1153 / 1165
页数:16
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