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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