Robust Adaptive Fuzzy Control of Nonlinear Systems with Unknown and Time-Varying Saturation

被引:19
作者
Lai, Guanyu [1 ]
Liu, Zhi [1 ]
Zhang, Yun [1 ]
Chen, Xin [2 ]
Chen, Chun Lung Philip [3 ]
机构
[1] Guangdong Univ Technol, Fac Automat, Guangzhou 510006, Guangdong, Peoples R China
[2] Guangdong Univ Technol, Coll Mech & Elect Engn, Guangzhou 510006, Guangdong, Peoples R China
[3] Univ Macau, Fac Sci & Technol, Macau, Peoples R China
基金
中国国家自然科学基金; 国家教育部博士点专项基金资助;
关键词
Nonlinear systems; adaptive fuzzy control; strict-feedback system; unknown time-varying saturation; dynamic surface control technique; DYNAMIC SURFACE CONTROL; OUTPUT-FEEDBACK CONTROL; BACKSTEPPING CONTROL; NEURAL-CONTROL; TRACKING CONTROL; DELAY SYSTEMS; HYSTERESIS; PLANTS;
D O I
10.1002/asjc.921
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 robust adaptive fuzzy control approach is proposed for a class of nonlinear systems in strict-feedback form with the unknown time-varying saturation input. To deal with the time-varying saturation problem, a novel controller separation approach is proposed in the literature to separate the desired control signal from the practical constrained control input. Furthermore, an optimized adaptation method is applied to the dynamic surface control design to reduce the number of adaptive parameters. By utilizing the Lyapunov synthesis, the fuzzy logic system technique and the Nussbaum function technique, an adaptive fuzzy control algorithm is constructed to guarantee that all the signals in the closed-loop control system remain semiglobally uniformly ultimately bounded, and the tracking error is driven to an adjustable neighborhood of the origin. Finally, some numerical examples are provided to validate the effectiveness of the proposed control scheme in the literature.
引用
收藏
页码:791 / 805
页数:15
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