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Fish lateral line inspired hydrodynamic force estimation for autonomous underwater vehicle control

机译:鱼横向线启发自主水下车辆控制的流体动力学力估计

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摘要

Considerable evidence suggests that the lateral line system found in most fish and some other aquatic organisms serves an important role in many behaviors by providing hydrodynamic information about the surrounding fluid. A lateral line inspired pressure feedforward control design was proposed by the group; the goal of the research is to improve maneuvering accuracy for autonomous underwater vehicles by estimating the pressure distribution around the vehicle bodies. In this paper, instead of segregating the hydrodynamic forces into added mass and damping terms and finding the corresponding coefficients, the forces are directly approximated with pressure sensor measurements and passed to the controller for improved performance. Simulation tests are presented to compare the trajectory tracking performance between the proposed feedforward control system and the one developed with traditional hydrodynamic modeling process. Experimental tests are conducted to verify the force estimation algorithm.
机译:相当大的证据表明,通过提供有关周围流体的流体动力学信息,在大多数鱼和其他一些水生生物中发现的横向线系统在许多行为中提供了重要作用。横向线启发的压力前馈控制设计由该组提出;该研究的目标是通过估计车身周围的压力分布来提高自动水下车辆的操纵精度。在本文中,代替将流体动力学力分离成额外的质量和阻尼术语并找到相应的系数,而是直接用压力传感器测量直接近似并将其传递给控制器​​以提高性能。提出了模拟测试以比较所提出的前馈控制系统与传统流体动力学建模过程开发的轨迹跟踪性能。进行实验测试以验证力估计算法。

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