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Model-Based Feedback Control of High-speed Supercavitating Vehicles

机译:基于模型的高速超级挖掘车反馈控制

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Supercavitation is a means of drag reduction in water, wherein a body is enveloped in a gas layer in order to reduce skin friction. Depending on the type of supercavitating vehicle under consideration, the overall drag coefficient can be an order of magnitude less than that of a fully-wetted vehicle. However, even in its simplest conceptualization, supercavitating vehicle dynamics features slope-discontinuous force curves and time-delay effects, control presents special challenges. This paper has presented strategies for the control of the highly-coupled nonlinear system comprising a supercavitating vehicle. A three DOFs hydrodynamical model based on Newton’s Laws was implemented for simulating the behavior of such a system. The linearization of the mathematical model is derived in detail. A Linear Quadratic Regulator (LQR) control design for the vehicle was formulated. Results of dynamical simulation for a specific vehicle were presented both for uncontrolled flight and with LQR-based feedforward-feedback control. The system behavior is dominated by the distinct change in the nature of the forces as the afterbody moves between a planing and non-planing condition, but that under the assumptions made for the three DOFs model the controller can eliminate the most undesirable behavior in either case.
机译:超级渗扰是减少水中的一种手段,其中体在气体层中包裹,以减少皮肤摩擦。根据所考虑的超级泄压车辆的类型,总阻力系数可以是小于全湿润的车辆的数量级。然而,即使在其最简单的概念化中,超级避险的车辆动态也具有坡度不连续力曲线和时滞效果,控制呈现出特殊的挑战。本文提出了控制包含超渗透车辆的高耦合非线性系统的策略。基于牛顿法律的三个DOFS流体动力学模型用于模拟这种系统的行为。数学模型的线性化得到详细推导出来。制定了用于车辆的线性二次调节器(LQR)控制设计。针对不受控制的飞行和基于LQR的前馈 - 反馈控制来提出特定车辆动态模拟结果。系统行为主导由力的性质的独特变化,因为后位移动在平面和非刨条件之间,但是在为三个DOF模型的假设下,控制器可以在任何一种情况下消除最不期望的行为。

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