随机扰动下的航天器姿轨保持自抗扰控制

空间飞行器在轨运行过程中除受空间摄动外，还因飞行器任务需要产生随机扰动力和扰动力矩。针对空间飞行器受随机扰动产生的耦合运动控制问题，提出了利用自抗扰方法进行轨道保持和姿态稳定的控制方法。通过引入二阶线性扩展状态观测器，对系统总扰动和状态进行观测。结合PD控制方法结合总扰动前馈补偿，克服空间主要摄动及飞行器本身产生的随机扰动，实现轨道保持和姿态稳定。仿真试验结果表明:该方法可以有效克服总扰动的影响，实现姿轨协同控制。     

Fractional order adaptive robust formation control of multiple quad-rotor UAVs with parametric uncertainties and wind disturbances

In recent times, multiple Unmanned Aerial Vehicles (UAVs) are being widely utilized in several areas of applications such as agriculture, surveillance, disaster management, search and rescue operations. Degree of robustness of applied control schemes determines how accurate a swarm of UAVs accomplish group tasks. Formation and trajectory tracking controllers are required for the swarm of multiple UAVs. Factors like external environmental effects, parametric uncertainties and wind gusts make the controller design process as a challenging task. This article proposes fractional order formation and trajectory tacking controllers for multiple quad-rotors using Super Twisting Sliding Mode Control (STSMC) technique. To compensate the effects of the disturbances due to parametric uncertainties and wind gusts, Lyapunov function based adaptive controllers are formulated. Moreover, Lyapunov theorem is used to guarantee the stability of the proposed controllers. Three types of controllers, namely fixed gain STSMC and fractional order Adaptive Super Twisting Sliding Mode Control (ASTSMC) methods are tested for the swarm of UAVs by performing the numerical simulations in MATLAB/Simulink environment. From the presented results, it is verified that in presence of wind disturbances and parametric uncertainties, the proposed fractional order ASTSMC technique showed improved robustness as compared to the fixed gain STSMC and integer order ASTSMC.     

低速巡飞弹非匹配干扰观测控制器设计

针对低速巡飞弹倾斜转弯控制系统的非线性、强耦合、不确定的特征,研究了一种基于干扰观测器的自适应反演控制方法。将参数摄动、外界干扰和执行机构的响应偏差分别等效进成系统的匹配干扰和非匹配干扰,并设计在有限时间内估计误差收敛的非线性干扰观测器进行估计。利用反演控制的思想,在虚拟控制量中抵消非匹配干扰,在实际控制量中抵消匹配干扰。利用李雅普诺夫理论设计自适应调节律补偿干扰观测器的估计误差,改进控制系统的瞬态性能。仿真结果表明,干扰观测器估计误差在有限时间内收敛到一定区间,系统能够有效地克服干扰的影响,快速准确地跟踪滚转角、攻角、侧滑角参考指令。     

基于数值微分计算的SERF原子自旋惯性测量动态仿真

基于量子调控技术的SERF原子自旋惯性测量仪表与传统惯性测量仪表相比,具有精度高、无活动部件、对加速度不敏感等优点,被公认是下一代高精度惯性测量的发展方向。分析了SERF原子自旋惯性装置Bloch微分方程组模型下磁场、激光、角速度输入对碱金属电子极化率和惰性气体核子极化率的影响。针对实验条件下原子系综Bloch微分方程组难以解析求解的问题,基于可变阶次数值微分计算,建立了相应的Simulink模型对实验条件下的原子系综进行数值求解,并分析了极化率对光场、磁场、角速度输入的瞬态响应与稳态响应。仿真结果与理论计算结果相吻合,验证了Bloch方程数值求解的可行性与准确性。该方法可得到惯性测量系统的动态响应,可用于模拟复杂输入下的SERF原子自旋惯性测量系统的输出响应。     

状态/输入约束下飞-推一体化的保性能安全控制

基于飞行-推力一体化思想提出了一种针对搭载超燃冲压发动机的吸气式高超声速飞行器速度通道的状态/输入约束自适应鲁棒保性能安全控制方案。首先根据超燃冲压发动机的机理分析与计算流体动力模型数据，建立了安全子系统与性能子系统面向控制的仿射非线性模型。之后基于障碍Lyapunov理论与动态面设计方法设计了一套安全子系统状态约束控制器，从理论上保证了飞行器在跟踪指令的全过程中，发动机相关状态不会触碰安全边界，并结合自适应技术与辅助系统提高了该控制系统的鲁棒性。针对性能子系统设计了一套鲁棒自抗扰控制器，达到“保证安全的前提下不折损性能”的目的。仿真结果表明所设计的控制系统可以在保障安全的同时达到预想的性能，并显著放宽了超燃冲压发动机对飞行器飞行姿态的约束，保证了高超声速飞行器的机动灵活性。     

导弹滑模抗干扰自动驾驶仪设计

针对拦截弹的抗干扰控制问题，设计了一种基于扩张状态观测器和快速滑模控制的三通道自动驾驶仪。首先建立考虑有界未知不确定性和外界干扰的拦截弹系统模型，构建扩张状态观测器对有界未知不确定性和外界干扰进行估计；在此基础上，根据自动驾驶仪系统特性，设计了一种快速滑模控制算法使得系统在受到有界未知不确定性和外界干扰的情况下仍然能精准快速跟踪指令信号，并基于李雅普诺夫函数证明了其稳定性。仿真结果验证了所设计控制算法的有效性。     

Performance analysis of the vectorized high order expansions method in the accurate landing problem of reusable boosters

This paper addresses the design of the terminal phase maneuver of the booster landing in the presence of initial deviations and uncertainties. The primary purpose of this study is to evaluate the effectiveness of the vectorized high order expansions method to extract commands and near-optimal trajectory, while the accurate satisfaction of the terminal conditions is of great importance. After reviewing high order expansions methods, the Vectorized High Order Expansions method is briefly discussed. Then, the solution for the booster landing problem is extracted up to the third order. To study the solution quality in the presence of uncertainties, mass, density, and gravity are assumed to be constant in extracting the 3rd order solution. The assumptions however are eliminated in the simulations, and the effectiveness of high order expansions solution is studied subjectively and numerically in the presence of initial deviations and uncertainties. After implementing simulations and considering different assumptions, it will be shown that the 3rd order solution holds a desirable quality in accurately satisfying final conditions in presence of uncertainties and initial deviations and provides far better results than the 1st order solution. Moreover, in this paper, a novel method is proposed for online updating, and the performance and effect of this modification are studied using simulations. Reviewing the results of the 3rd order solution combined with the online update strategy, it becomes clear that the implementation of the online update significantly reduces landing point errors and improves the performance of the high order method. Furthermore, the study compares the performance of this strategy with the well-known state-dependent Riccati equation method to better evaluate the effectiveness of the proposed approach.