Robust Fuzzy Sampled-Data Control for Dynamic Positioning Ships

被引：7
|
作者：
Zheng M. [1 ,2 ]
Zhou Y. [1 ]
Yang S. [2 ]
机构：
[1] School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai
[2] Navigation College, Jimei University, Xiamen, Fujian
来源：
Journal of Shanghai Jiaotong University (Science) | 2018年 / 23卷 / 2期
关键词：
dynamic positioning (DP) ships; Lyapunov-Krasovskii functional; sampled-data control; Takagi-Sugeno (T-S) fuzzy models;
D O I：
10.1007/s12204-018-1931-z
中图分类号：
学科分类号：
摘要：
A robust H∞ sampled-data stabilization problem for nonlinear dynamic positioning (DP) ships with Takagi-Sugeno (T-S) fuzzy models is discussed in this paper. Input delay approach is used to convert the sampleddata DP ship system to a fuzzy system with time-varying delay. Adequate conditions are derived to determine the system’s asymptotical stability and achieve H∞ performance via Lyapunov stability theorems. Then, the fuzzy sampled-data controller is obtained by analyzing the stabilization condition. Simulation result shows that the proposed method and the designed controller for a DP ship are effective so that the DP ship can maintain the desired position, heading and velocities in the existence of varying environment disturbances. © 2018, Shanghai Jiaotong University and Springer-Verlag GmbH Germany, part of Springer Nature.
引用
收藏
页码：209 / 217
页数：8
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