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Flatness-based hypersonic reentry guidance of a lifting-body vehicle

机译:基于平面度的高超声速折返制导

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This paper deals with the design of a guidance algorithm for the hypersonic phase of a lifting-body vehicle. The guidance strategy is based on a particular kind of nonlinear dynamic inversion, the so-called flatness approach. The main advantage of this approach is that the longitudinal guidance law is in-flight self-adaptive to any feasible hypersonic trajectory and can be written in analytical form with a small set of design parameters. Therefore, the required on-board computational resources are limited, and a reduced off-line design effort is needed for the change of vehicle parameters. Moreover, the closed-loop longitudinal guidance commands are computed on-board in a coupled way without relying on an explicit deceleration profile. Consequently, the approach leads to an efficient management of the degree of freedom associated with the angle-of-attack. PID controllers are then designed based on the longitudinal flat model in order to circumvent uncertainties and parameters dispersions. The crossrange is controlled by a series of bank reversals determined by an azimuth error deadband. The robustness and performance of the proposed guidance law are assessed by performing Monte Carlo runs with various sets of dispersions.
机译:本文研究了一种用于起重车超音速阶段的制导算法的设计。制导策略基于一种特殊的非线性动态反演,即所谓的平坦度方法。这种方法的主要优点是,纵向制导律可以在飞行中自适应任何可行的高超音速轨迹,并且可以以分析形式编写,并带有少量设计参数。因此,所需的车载计算资源是有限的,并且改变车辆参数需要减少的离线设计工作。此外,闭环纵向引导命令是在船上以耦合方式计算的,而不依赖于明确的减速曲线。因此,该方法导致与攻角相关联的自由度的有效管理。然后基于纵向平面模型设计PID控制器,以规避不确定性和参数分散。跨范围由一系列由方位角误差死区确定的倾斜度控制。通过对各种分散体进行蒙特卡洛试验,可以评估拟议的指导法的鲁棒性和性能。

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