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Path following of under-actuated ships based on model predictive control with state observer

机译:基于模型预测控制与状态观察者的船舶船舶船舶路径

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摘要

A model predictive control (MPC) method with linear extended state observer (LESO) is presented to address the problems of the input constraints, uncertain parameters and external disturbances for path following of under-actuated surface ships without velocity measurements. The line of sight (LOS) guidance algorithm is employed to convert the path following into the heading control flexibly. The proper reference paths at waypoints are formulated by a variable acceptable radius approach. The matters of the heading control, input constraints including rudder amplitude and rate limit are addressed by virtue of MPC method employing the Norrbin model as the internal model. The LESO is introduced to estimate the uncertain parameters and external disturbances for the improvement of the internal model accuracy and the controller robustness. Moreover, the nonlinear observer and LESO are used to approximate the surge velocity, sway velocity and yaw rate, respectively. The effectiveness of the proposed control law is demonstrated via the compared simulations.
机译:提出了一种具有线性扩展状态观察者(LESO)的模型预测控制(MPC)方法,以解决在没有速度测量的情况下的欠函数船舶之后的路径的输入约束,不确定参数和外部干扰的问题。视线(LOS)引导算法用于灵活地将路径转换为标题控制。航点处的适当参考路径由可变可接受的半径方法配制。通过使用NORRBIN模型作为内部模型的MPC方法,解决了标题控制的事项,包括舵幅度和速率限制的速率限制。引入LESO以估算改善内部模型精度和控制器鲁棒性的不确定参数和外部干扰。此外,非线性观察者和Leso分别用于近似浪涌速度,摇摆速度和横摆率。通过比较的模拟证明了所提出的控制法的有效性。

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