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Research on Static Fault-tolerant Control Method of UUV Based on MPC in Two Dimension

机译:基于MPC的二维UUV静态容错控制方法研究

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In this paper, the motion control of unmanned underwater vehicle (UUV) in two-dimensional state is studied, and a new control method, model prediction algorithm (MPC), is proposed. The model prediction algorithm is based on the linear description of the system error model, which can solve the sequence quadratic programming problem online and improve the real-time performance of the control system. The simulation results show that the fault-tolerant control method proposed in this paper is effective and feasible, which can make the unmanned underwater vehicle keep the original working state in the faulty situation.
机译:本文研究了二维状态下无人水下航行器的运动控制,提出了一种新的控制方法-模型预测算法(MPC)。该模型预测算法基于系统误差模型的线性描述,可以在线解决序列二次规划问题,提高控制系统的实时性。仿真结果表明,本文提出的容错控制方法是有效可行的,可以使无人水下航行器在故障情况下保持原始工作状态。

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