Rbf Dynamic Surface Sliding-Mode Output Feedback Tracking Control For Fully Actuated Ships Based On Eso
PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC)(2019)
摘要
To solve the trajectory tracking problem of fully actuated ships with model uncertainties and unknown external disturbances, a RBF neural network dynamic surface sliding mode output feedback control based on extended state observer (ESO) is proposed. For most control systems of ships. only position and heading are measurable, the nonlinear third order ESO is constructed to estimate ship position. velocity and external disturbances. Then the dynamic surface sliding mode output feedback control is designed to achieve high-precision ship trajectory tracking control, and the RBF neural network is used to approximate and compensate the model uncertainties. Lyapunov stability theory is applied to prove the error signals in the trajectory tracking closed-loop control system are uniformly ultimately bounded. Finally, simulations are carried out to verify theoretical results.
更多查看译文
关键词
Dynamic surface sliding mode, trajectory tracking, neural network, fully actuated ship, extended state observer
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要