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Three-dimensional trajectory tracking of a hybrid autonomous underwater vehicle in the presence of underwater current

机译:存在水下电流的混合自动水下航行器的三维轨迹跟踪

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摘要

In this work, a six degrees-of-freedom (DOF) nonlinear kinematic and dynamic model of a Hybrid Autonomous Underwater Vehicle (H-AUV) is derived for the two modes of locomotion, propelled and gliding modes. A comprehensive linearization algorithm is developed to include both modes of locomotion. Starting with a three-dimensional time-parameterized curve of position history, Frenet-Serret frames are used to specify the unknown nominal states, which in turn are used to obtain the nominal inputs. A linear time-variant (LTV) state-space model is obtained, and a linear quadratic regulator (LQR) is designed and applied to the nonlinear model. The performance of the devised controller is assessed via a metric that computes the error between the actual and the desired position. Simulation results show that the LQR provides accurate tracking performance, even in the presence of underwater currents with bounded flow velocity. Moreover, the controller autonomously switches modes between propulsion and gliding to ensure minimal trajectory tracking error and energy consumption.
机译:在这项工作中,针对两种运动模式,推进模式和滑行模式,推导了混合自主水下航行器(H-AUV)的六自由度(DOF)非线性运动学和动力学模型。开发了一种全面的线性化算法,以包含两种运动模式。从位置历史记录的三维时间参数化曲线开始,Frenet-Serret框架用于指定未知的标称状态,这些状态又用于获得标称输入。获得了线性时变(LTV)状态空间模型,并设计了线性二次调节器(LQR)并将其应用于非线性模型。通过计算实际位置和期望位置之间的误差的度量来评估设计的控制器的性能。仿真结果表明,即使在水下流速有限的情况下,LQR仍可提供准确的跟踪性能。此外,控制器可在推进和滑行之间自动切换模式,以确保最小的轨迹跟踪误差和能量消耗。

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