Adaptive interval type-2 fuzzy control for multi-legged underwater robot with input saturation and full-state constraints

被引:63
|
作者
Sun, Yanchao [1 ]
Chen, Xinyan [1 ]
Wang, Ziwei [2 ]
Qin, Hongde [1 ]
Jing, Ruijie [1 ]
机构
[1] Harbin Engn Univ, Sci & Technol Underwater Vehicle Lab, Harbin, Peoples R China
[2] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-legged underwater robot; anti-windup compensator; interval type-2 fuzzy neural network; dynamic surface control; full-state constraints;
D O I
10.1080/00207721.2020.1869346
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a trajectory tracking control strategy is proposed for multi-legged underwater robot in the presence of input saturation and full-state constraints. An anti-windup compensator is introduced to solve the input saturation problem, which can compensate for the saturation difference directly. Besides, the state constrains are addressed by a new state saturation function and the external unknown disturbances are solved by interval type-2 fuzzy neural network approximator. The dynamic surface control method combines with backstepping method is utilised to construct Lyapunov function. The control law and signals of the closed-loop system can be guaranteed to achieve semi-global uniform boundedness. Numerical simulations are presented to show the effectiveness of the proposed algorithm.
引用
收藏
页码:2859 / 2874
页数:16
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