Obstacle avoidance control of underwater vehicle for submarine cable laying based on multi-objective constraints
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摘要: 【目的】海底复杂地形环境下水下航行器(AUV, Autonomous Underwater Vehicle)独立铺缆作业需要兼顾铺缆质量和自身安全,即避障的同时还需要保持船体与海底平面的相对高度。【方法】设计了一种基于模型预测的海缆铺设AUV最优避障控制方法,该方法基于模型预测控制(MPC, Model Predictive Control)建立AUV的路径跟踪模型,将海底不规则障碍物分类为凸起和凹陷地形,并分别建立障碍物的工程简化数学模型。然后根据不同地形和海缆铺设要求设计多个目标优化函数,根据地形特征点迭代计算与海底平面保持稳定高度且路径最短的最优避障路径。【结果】仿真结果表明该方法响应性能好、可靠性高,能够使AUV选择最短路径避开意外障碍物。【结论】从而在复杂的海底环境下既保障AUV作业过程中的自身安全,又极大提高海缆的铺设质量。Abstract: [Objectives] The independent cabling operation of AUV in complex submarine terrain should balance cabling quality and self-safety which means AUV should keep the stable height with seabed.[Methods] This paper designs an optimal obstacle avoidance design of AUV for cable laying based on model prediction control. Firstly, the method establishes the path following control model based on the model predictive control (MPC). Then it classifies the different obstacles into topographic bulges or depressions. And it establishes the simplified mathematical model of the obstacle. Secondly, this method designs multiple objective optimization functions for different topographic according to the feature points. So the AUV could choose the shortest path with the minimum change of laying height. [Results] The result shows that this method has the smallest changes in laying height and it also chooses the shortest path to avoid the obstacle.[Conclusions] It not only ensures the safety of AUV in complex submarine terrain, but also greatly improves the laying quality of submarine cables.
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