再入机动飞行器自适应轨迹线性化控制

针对一类多输入多输出模型不确定系统,提出了一种基于广义模糊神经网络的自适应轨迹线性化控制方法(ATLC).针对再入机动飞行器(MRV)进行了控制器设计和分析.MRV气动参数存在较大的不确定,这会导致轨迹线性化控制器(TLC)鲁棒性能下降.利用广义模糊神经网络(G-FNN)在线补偿系统的非线性建模不确定,改善了控制器性能.基于Lyapunov稳定性理论,证明了ATLC闭环控制系统的稳定性.仿真结果表明自适应轨迹线性化控制系统在飞行器气动参数大范围摄动时仍具有鲁棒性和稳定性,验证了所提出的控制策略的有效性.     

基于自适应滑模的变质心再入飞行器控制律设计

建立了有纵向单滑块的变质心再入飞行器系统控制模型。对该有输入非线性的快时变多体系统,考虑系统存在参数不确定等因素的影响并将完整的活动质量体动力学环节置入姿态控制,基于滑模控制理论设计了俯仰姿态跟踪鲁棒控制系统。在参数不确定性条件下对飞行控制系统进行了仿真。结果表明：设计的控制律可实现对指令角度和指令位置有效、快速、稳定...     

Control of approach and landing phase for reentry vehicle using fuzzy logic

The reentry vehicle is affected by various disturbances such as a wind gust, atmospheric condition or aerodynamic problems in the approach and landing phase. Therefore it is necessary to design a robust control scheme. This paper presents a control scheme using Mamdani fuzzy PD controller. In this paper, the reference trajectories are generated using geometric parameters for disturbed circumstances with 4 cases: nominal, headwind and tailwind, drag increased case. Then, a Mamdani fuzzy PD controller was designed in this study. Twenty-five rules were applied in the knowledge-based system. The max–min method for a fuzzy inference system and the center-of-mass method in defuzzification were used. Finally, guidance and control simulations are performed for verification of proposed controller using generated reference trajectories. In addition, the Monte Carlo simulation is performed considering various disturbances. The results show that proposed Mamdani fuzzy PD controller has reliability and robustness for control of reentry vehicle with wind disturbance in the approach and landing phases.     

Hypersonic reentry trajectory planning by using hybrid fractional-order particle swarm optimization and gravitational search algorithm

This paper proposes a novel hybrid algorithm called Fractional-order Particle Swarm optimization Gravitational Search Algorithm (FPSOGSA) and applies it to the trajectory planning of the hypersonic lifting reentry flight vehicles. The proposed method is used to calculate the control profiles to achieve the two objectives, namely a smoother trajectory and enforcement of the path constraints with terminal accuracy. The smoothness of the trajectory is achieved by scheduling the bank angle with the aid of a modified scheme known as a Quasi-Equilibrium Glide (QEG) scheme. The aerodynamic load factor and the dynamic pressure path constraints are enforced by further planning of the bank angle with the help of a constraint enforcement scheme. The maximum heating rate path constraint is enforced through the angle of attack parameterization. The Common Aero Vehicle (CAV) flight vehicle is used for the simulation purpose to test and compare the proposed method with that of the standard Particle Swarm Optimization (PSO) method and the standard Gravitational Search Algorithm (GSA). The simulation results confirm the efficiency of the proposed FPSOGSA method over the standard PSO and the GSA methods by showing its better convergence and computation efficiency.     

负升力返回时航天器的再入走廊与轨迹研究

研究了较大升阻比航天器采用负升力返回时的再入走廊与最优轨迹，通过数字仿真并与正升力再入时的结果比较，得到结论：采用负升力再入时的返回走廊前１／３段比采用正升力的相应部分宽度有较大增加；离轨点所耗燃料质量与热防护系统质量之和较正升力再入时的情况有一定减少。由此可见，负升力再入概念在提高有效载荷上明显优越于正升力再入概念。     

等离子体环境下圆柱开槽天线特性的研究

本文用磁流体力学的方法研究了等离子体环境下圆柱体开槽天线的辐射问题,推导了槽天线的方向图和阻抗的计算公式,计算了不同等离子体参量的横槽的方向图,并且把计算的结果与用不考虑纵波影响的复介电常数方法得到的结果进行了比较。     

宇宙飞行器定点着陆自动控制算法

本文描述了宇宙飞行器以第一宇宙速度返回地面并定点着陆的控制算法。分析了在大气中下降的过程，研究了下降段上的空间运动。给出了数值计算机上的模拟结果。本报告共分为４部分。     

标准轨迹制导中准平衡滑翔条件优化研究

对于可重复使用运载器标准轨迹再入制导,准平衡滑翔条件可以将高度-速度平面内各项再入约束形成的飞行走廊,转换为倾侧角-速度空间内的倾侧角走廊.通过在倾侧角走廊内设计倾侧角曲线,可以生成满足飞行走廊的标准轨迹.通过论证标准轨迹再入制导过程中的准平衡滑翔条件及其物理意义,说明了由倾侧角走廊内的倾侧角曲线生成的标准轨迹,存在突破再入飞行走廊边界的可能性.通过对倾侧角走廊边界设置余度,极大地降低了标准轨迹突破再入飞行走廊边界的可能性,提高了标准轨迹的设计成功率.     

载人航天器的再入与回收

文中主要概述了美国载人飞船回收技术的发展,介绍了保证载人飞船安全返回着陆的方法、采用的回收控制技术、地面对再入返回段的测控支持、载人飞船的回收作业、载人飞船的应急返回和回收救援等技术问题。     

航天器回收中几种主伞失效案例介绍

主伞失效是指主伞在展开或充气过程中的伞衣破损以及任何故障引起的载荷非正常减速现象 ,严重的可导致整个回收任务的失败。通过对历史上多次主伞失效事故情况的介绍 ,总结了失效形式和故障来源。着重阐述了固体助推火箭发动机回收的主伞失效过程以及多种改进方案。