Adaptive Fuzzy PI Prescribed Performance Tracking Control for Switched Nonlinear Systems With Dead-Zone Input and External Disturbances

被引：7
作者：
Li, Hongyao [1 ]
Sun, Haibin [1 ]
Hou, Linlin [2 ]
机构：
[1] Qufu Normal Univ, Sch Engn, Rizhao 276826, Peoples R China
[2] Qufu Normal Univ, Sch Informat Sci & Engn, Rizhao 276826, Peoples R China
来源：
IEEE ACCESS | 2020年 / 8卷
基金：
中国国家自然科学基金;
关键词：
Switches; Nonlinear systems; Adaptive systems; Backstepping; Switched systems; Closed loop systems; Adaptive control; backstepping; dead-zone input; fuzzy logic systems; PI control; prescribed performance; switched nonlinear system; tracking control; NEURAL-CONTROL; CONTROL DESIGN; STABILIZATION;
D O I：
10.1109/ACCESS.2020.3013939
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 paper studies the problem of adaptive fuzzy proportional-integral (PI) tracking control for a class of switched nonlinear systems with dead-zone input, unknown nonlinear functions and external disturbances. By using backstepping method with fuzzy logic systems, a set of adaptive fuzzy PI tracking controllers are proposed, which have a simple structure and a clear physical meaning. The designed controllers don't need priori information of dead-zone input via introducing Nussbaum function scheme. To enhance the tracking performance, the prescribed performance technique is utilized to constrain the tracking error. The stability analysis of the closed-loop switched systems is established via common Lyapunov function, and the tracking error remains within a prescribed bound and all signals of the closed-loop system are bounded. Finally, the effectiveness of the scheme is verified by two examples.
引用
收藏
页码：143938 / 143949
页数：12
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