基于自适应网格的钝头体激波诱导燃烧现象数值模拟研究

钝头体激波诱导燃烧是爆震研究的一个基本问题。针对化学恰当量比的H2/Air预混气在Ma=4.79和Ma=6.46时的激波诱导燃烧现象开展数值模拟研究，采用基于有限体积法的块结构自适应网格加密程序AMROC对带化学反应源项的轴对称Euler方程解耦求解，考察了数值模拟中不同形式的MUSCL重构格式、限制器类型以及化学反应机理等重要因素对模拟结果的影响。结果表明，程序能够根据设定的加密判据较好地实现网格自适应加密，减小总网格量，实现高效数值模拟。通过与实验数据的对比，表明非定常激波诱导燃烧算例的准确程度不仅取决于化学反应机理，也取决于限制器类型，而采用两种不同形式的MUSCL重构格式获得的振荡频率则几乎一致，与试验结果的误差分别为1.17%和0.97%。模拟对比经典的Jachimowski机理和近年来新发展的几种包含压力相关反应步的氢/氧反应机理，模拟结果表明：对于Ma=4.79时的非定常激波诱导燃烧模拟，经典的Jachimowski机理仍然是能够给出与实验结果最接近的反应机理；而对于Ma=6.46时的定常激波诱导燃烧模拟，几种反应机理均能给出与实验吻合较好的结果。     

Time delay compensation in lateral-directional flight control systems at high angles of attack

The previous studies of time delay compensation in flight control systems are all based on the conventional aerodynamic derivative model and conducted in longitudinal motions at low angles of attack. In this investigation, the effects of time delay on the lateral-directional stability augmentation system in high-α regime are discussed based on the $\dot{\beta }$ model, which is proposed in our previous work and proved as a more accurate aerodynamic model to reveal the lateral-directional unsteady aerodynamic characteristics at high angles of attack. Both the $\dot{\beta }$ model and the quasi-steady model are used for simulating the effects of time delay on the flying qualities in high-α maneuvers. The comparison between the simulation results shows that the flying qualities are much more sensitive to the mismatch of feedback gains than the state errors caused by time delay. Then a typical adaptive controller based on the conventional dynamic derivative model and a gain-prediction compensator based on $\dot{\beta }$ model are designed to address the time delay in different maneuvers. The simulation results show that the gain-prediction compensator is much simpler and more efficient at high angles of attack. Finally, the gain-prediction compensator is combined with a linearized $\dot{\beta }$ model reference adaptive controller to compensate the adverse effects of very large time delay, which exhibits excellent performance when addressing the extreme conditions at high angles of attack.     

Kalman弹道滤波器的快速收敛性研究

在弹道修正过程中，需根据一段实测弹道参数，准确地估算常规弹箭的飞行弹道。工程中，常应用Kalman滤波方法，结合质点弹道模型建立六状态滤波弹道模型。速度初值估计的准确性，是对滤波过程造成影响的主要因素。为改善这一状况，采用多项式拟合用以对速度状态进行估计并以此作为滤波初始值。在此种估计下滤波，速度滤波过程可快速收敛，位置滤波过程收敛速度大幅度提高，可使最优弹道诸元参数获取时间缩短30%。     

基于Kalman滤波的空天飞行器再入制导算法

针对空天飞行器应用传统数值预测校正再入制导算法实时性不佳的问题，提出一种基于Kalman滤波的预测校正制导算法。该算法采取四阶多项式拟合速度-高度飞行剖面，利用Kalman滤波估计选定的速度点对应的高度，得到满足再入走廊及航程要求的拟合系数。在此基础上，减少一个终端约束，增加一个待估计剖面参数，可实现对再入过程飞行时间的调节。研究发现，再入过程中通过在线辨识修正不确定性参数能够提高制导指令的适应性；飞行末段利用跟踪参考剖面制导可有效避免飞行速度与终端速度接近时发生拟合系数求解发散的问题。多组不同再入条件下的算例仿真结果表明，基于Kalman滤波的空天飞行器再入制导算法实时性好，制导精度高，能够实现飞行时间可控，具有较强的鲁棒性和工程应用潜力。     

基于双滤波器的高精度目标跟踪估计方法

针对连续推力的合作航天器，采用双重无迹卡尔曼滤波(DUKF)算法估计其状态和加速度。通过状态滤波器和参数滤波器的配合，提升滤波精度，完成运动状态和参数的估计，从而实现合作目标的运动轨迹跟踪。与合作航天器相比，非合作航天器存在大小未知、发生时刻未知的机动，无法获得加速度，且信息获取和运动状态的估计难度大。针对非合作航天器，基于简化的相对运动方程，结合天基平台获得目标的观测信息，采用两个扩展卡尔曼滤波(EKF)及基于半正焦弦的机动检测策略实现多未知脉冲机动的运动状态的估计。仿真结果表明：相比于无迹卡尔曼滤波（UKF），DUKF在对合作航天器的状态和加速度估计方面具有更快的收敛速度和更高的滤波精度；对于存在未知机动的非合作航天器，通过对比验证机动检测策略与滤波器切换策略相结合的方法的有效性，该方法能够检测到多次机动并且减少误判。     

Adaptive fuzzy terminal sliding mode control for the free-floating space manipulator with free-swinging joint failure

Space manipulator with free-swinging joint failure simultaneously contains kinematic and dynamic coupling relationships, so it belongs to a new underactuated system. To allow the manipulator to carry on tasks, an effective robust underactuated control method for the space manipulator with free-swinging joint failure is studied in this paper. Considering the effect of model uncertainty and joint torque disturbance, a robust underactuated control system based on the Terminal Sliding Mode Controller (TSMC) is designed, but two drawbacks are discussed: (A) Robustness depraves with eliminating chattering. (B) Control parameters are difficult to be determined under unknown uncertainty and disturbance. To improve the TSMC, the adaptive fuzzy controller is introduced to estimate the real effect of unknown uncertainty and disturbance according to deviations of sliding mode and its reaching law. The estimated result is directly compensated into active joints torque. In simulation, the space manipulator with free-swinging joint executes tasks based on the TSMC and the Adaptive Fuzzy Terminal Sliding Mode Controller (AFTSMC) respectively. Same tasks can be finished with smaller joints torque and stronger robustness based on the AFTSMC. Therefore, AFTSMC can serve as an effective robust control method for the space manipulator with free-swinging joint failure under unknown model uncertainty and torque disturbance.     

基于自适应容积粒子滤波的车辆状态估计

针对车辆状态估计中由模型的强非线性、噪声的非高斯分布等相关因素导致估计精度下降甚至发散的问题,本文提出了基于自适应容积粒子滤波(Adaptive cubature particle filter,ACPF)的车辆状态估计器。首先基于非稳态动态轮胎模型,构建高维度非线性八自由度车辆模型。其次利用自适应容积卡尔曼滤波(Adaptive cubature Kalman filter,ACKF)算法更新基本粒子滤波(Particle filter,PF)算法的重要性密度函数,以完成自适应容积粒子滤波算法设计。利用车载传感器信息,运用ACPF算法实现对车辆的侧倾角、质心侧偏角等关键状态变量高精度在线观测。搭建Simulink-Carsim联合仿真平台进行了算法的验证,结果表明该算法状态估计精度高于传统无迹粒子滤波(Unscented particle filter,UPF)算法,且算法运算效率高于UPF算法,而传统PF估计值发散。研究结果为实现车辆动力学精准控制提供了理论支持。     

带攻角约束的高超声速飞行器自适应反步控制器设计

针对带攻角(AOA)约束的高超声速飞行器控制问题，提出一种基于非对称时变障碍函数的非线性自适应反步控制方法。首先，将飞行器模型化为严反馈形式，以反步法为基础进行控制器设计。然后通过光滑饱和函数对名义攻角指令信号进行限幅，并保证限幅信号的可导性，限幅产生的误差通过设计辅助系统进行补偿。进而使用障碍函数对攻角指令跟踪误差进行非对称时变约束。针对不确定性和干扰，设计新型自适应律对集中干扰上界进行估计并补偿。最终通过Lyapunov理论证明了闭环系统状态量一致最终有界并且攻角始终满足时变约束。仿真结果表明，本文方法能够在满足攻角约束基础上保证良好跟踪性能。     

适用于时变不确定系统的并行模型自适应估计

摘要： 针对受到潜在模型不确定性影响的系统，设计一种并行模型自适应估计(PMAE)算法.以往基于不确定性系统模型设计的滤波算法，在模型精确的情况下，性能往往不及传统卡尔曼滤波（KF）.为了解决该问题，设计基于多个并行滤波器的自适应状态估计算法，其中一个滤波器为KF，用于在未出现模型不确定性的情况下，对系统进行最优状态估计；另一个滤波器为扩维卡尔曼滤波（AKF），用于在出现模型不确定性的情况下，对不确定性模型参数进行辨识.以空间目标监视为例，分析算法的性能.仿真结果表明，利用PMAE算法能够自适应地对两个并行滤波器进行切换和折衷，从而有效应对模型中存在不确定性和不存在不确定性两种情况.