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Optimal depth controller for an Autonomous Underwater Vehicle under constrains and uncertainties

机译:基于约束和不确定性的自主水下车辆的最佳深度控制器

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In this paper an Optimal Controller for the depth plane motion of an Autonomous Underwater Vehicle (AUV) is presented. The controller is designed based on a linearized model that describes the rigid body dynamics of the AUV while including all the external forces and moments that are produced from the hydrostatics, the hydrodynamic lift and drag, the added mass, the control inputs of the vehicle propeller and the fins. These factors are all defined in terms of vehicles coefficients in the AUV's model. The proposed control scheme is based on the theory of Constrained Finite Time Optimal Control scheme and it is able to take under consideration factors that degrade the performance of the controlled vehicle such as: a) the physical and mechanical constrains of the system, b) the disturbances that are introduced from the sensing elements, and c) the additive uncertainty due to modeling errors. The proposed controller is applied in simulations and multiple results are presented that prove the efficacy of the proposed scheme.
机译:在本文中,提出了一种用于自主水下车辆(AUV)的深度平面运动的最佳控制器。该控制器基于线性化模型设计,该模型描述了AUV的刚体动态,同时包括由静电学生产的所有外力和矩,流体动力升力和拖动,增加的质量,车辆螺旋桨的控制输入和鳍。这些因素全部在AUV模型中的车辆系数方面定义。所提出的控制方案基于受约束的有限时间最佳控制方案的理论,并且能够在考虑因素中降低受控车辆的性能,例如:a)系统的物理和机械约束,b)从传感元件引入的扰动,以及C)由于建模误差引起的添加剂不确定性。所提出的控制器应用于模拟中,并提出了多种结果,证明了所提出的方案的功效。

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