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Hybrid Control Trajectory Optimization for Air-breathing Hypersonic Vehicle

机译:空气呼吸超音速车辆混合控制轨迹优化

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Trajectory optimization problem for air-breathing hypersonic vehicle is addressed in this paper. The engine of hypersonic vehicle is assumed as a dual-mode scramjet engine which can be operated as a ramjet and scramjet for wide range of flight Mach number. Boost-skipping trajectory was proposed for range maximization of hypersonic vehicle, and based on this trajectory, flight modes of dual-mode scramjet are divided into three modes, which are ram mode, scram mode, non-powered mode. Hypersonic vehicle was modelled with consideration of changes of physical quantities over mode transition. To deal with discrete mode changes as well as continuous control, hybrid optimal control method is applied to this problem. Simulation results demonstrate that the optimized trajectory with hybrid control has better performance compared to cyclic mode transition trajectory. Also, a vehicle which imitates the characteristics of dual-mode scramjet vehicle is implemented to optimize the trajectory. The results suggest that the hybrid optimal control can be applied to the trajectory optimization of a dual-mode scramjet vehicle considering the mode transition in infinite time horizon.
机译:本文解决了空气呼吸超声波车辆的轨迹优化问题。超声波车辆的发动机被假定为双模扰刀发动机,其可以作为Ramjet和Scramjet操作,用于广泛的飞行马赫数。提升跳过轨迹是提出了超声波车辆的范围最大化,并且基于该轨迹,双模瘙布的飞行模式分为三种模式,它是RAM模式,扰流模式,非动力模式。考虑到在模式过渡的物理量的变化的情况下建模超音速车辆。要处理离散模式的变化以及连续控制,应用混合最佳控制方法对此问题。仿真结果表明,与循环模式转换轨迹相比,具有混合控制的优化轨迹具有更好的性能。此外,实现了一种模仿双模扰载车辆的特性的车辆以优化轨迹。结果表明,考虑到无限时间范围内的模式过渡,可以将混合最优控制应用于双模扰迹车辆的轨迹优化。

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