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.
ZHENG Minjie (郑敏杰)
,
ZHOU Yujie (周玉洁)
,
YANG Shenhua (杨神化)
. Robust Fuzzy Sampled-Data Control for Dynamic Positioning Ships[J]. Journal of Shanghai Jiaotong University(Science), 2018
, 23(2)
: 209
-217
.
DOI: 10.1007/s12204-018-1931-z
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