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Trajectory Optimization for DDE Models of Supercavitating Underwater Vehicles

机译:超空泡水下航行器DDE模型的轨迹优化

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In this study we first develop a flight mechanics model for supercavitating vehicles, whichnis formulated to account for the dependence of the cavity shape from the past history ofnthe system. This mathematical model is governed by a particular class of delay differen-ntial equations, featuring time delays on the states of the system. Next, flight trajectoriesnand maneuvering strategies for supercavitating vehicles are obtained by solving an op-ntimal control problem, whose solution, given a cost function and general constraints andnbounds on states and controls, yields the control time histories that maneuver the vehiclenaccording to a desired strategy, together with the associated flight path. The optimalncontrol problem is solved using a novel direct multiple shooting approach, which isnformulated to properly handle conditions dictated by the delay differential equation for-nmulation governing the dynamic behavior of the vehicle. Specifically, the new formulationnenforces the state continuity line conditions in a least-squares sense using local interpo-nlations, which supports local time stepping and drastically reduces the number of opti-nmization unknowns. Examples of maneuvers and resulting trajectories demonstrate theneffectiveness of the proposed methodology and the generality of the formulation. Thenresults are also compared with those obtained from a previously developed model gov-nerned by ordinary differential equations to highlight the differences and demonstrate thenneed for the current formulation.
机译:在这项研究中,我们首先开发了一种用于超空化飞行器的飞行力学模型,该模型是根据系统过去的历史来说明腔体形状的依赖性而制定的。该数学模型由一类特殊的延迟微分方程控制,该方程具有系统状态的时间延迟。接下来,通过解决最优控制问题来获得超空化车辆的飞行轨迹和机动策略,在给定成本函数以及状态和控件的一般约束和无穷大的情况下,其最优解决方案的求解产生了根据所需策略操纵车辆的控制时间历史,以及相关的通航路径。使用新颖的直接多重射击方法解决了最优控制问题,该方法被设计为适当处理由延迟微分方程表示的控制车辆动态行为的条件。具体而言,新公式使用局部插值以最小二乘方式增强了状态连续性线的条件,这支持局部时间步长并大大减少了优化未知数。机动和产生的轨迹的例子证明了所提出方法的有效性和配方的一般性。然后将结果与从以前开发的模型中得到的结果进行比较,该模型由常微分方程控制,以突出差异并证明当前公式的必要性。

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