Calculation of the transonic dip of airfoils using viscous-inviscid aerodynamic interaction method

A numerical procedure for the calculation of the transonic dip of airfoils in the time domain is presented. A viscous-inviscid aerodynamic interaction method is taken to calculate the unsteady aerodynamic loads. In the present case the integral boundary layer equations are coupled with the Transonic Small Disturbance (TSD) Potential Equation. The coupling between structural motion and aerodynamic loads is carried out using State Space equation. It is solved by State Transition Matrix technique. Results are presented for NACA 64A010 and NLR 7301 airfoils with structural data from Isogai and DLR, respectively. Comparisons show good agreement with other numerical results. Certain deviations of experimental data taken from literature need more insight in the detailed test conditions.     

卫星编队飞行的无速度测量非线性鲁棒控制

本文基于带有界干扰的线性动力学模型，研究了卫星编队飞行中的相对位置控制问题。首先，在线性二次型最优控制的基础上，设计了一种非线性控制律，并使用李雅普诺夫稳定性理论证明了系统的稳定性。接着，通过对线性系统状态观测器进行改进，得到了一种非线性速度观测器，观测误差被证明是渐近收敛的。观测器与控制律的结合实现了无速度测量的控制，闭环系统被证明是渐近稳定的。文末的数值仿真验证了理论分析。     

有序递推滤波修正系统误差方法

本文将推广卡尔曼滤波的原理拓展到对测量元素逐个进行滤波的处理。从理论上证明它可以提高状态向量滤波结果的估值精度，而且它可以减少求逆公式的计算量。本文应用该方法导出了轨道测量数据处理的有序递推自校准系统误差的方法及公式。     

论我国公立高校与学生的法律关系

高校与学生的法律关系其实是一种复杂的社会关系，其中主要是民事合同关系，还有一部分类似于行政合同（或行政契约）关系。其关系一旦确立，学校与学生的权利与义务就明确了。     

A cost driven predictive maintenance policy for structural airframe maintenance

Airframe maintenance is traditionally performed at scheduled maintenance stops.The decision to repair a fuselage panel is based on a fixed crack size threshold,which allows to ensure the aircraft safety until the next scheduled maintenance stop.With progress in sensor technology and data processing techniques,structural health monitoring (SHM) systems are increasingly being considered in the aviation industry.SHM systems track the aircraft health state continuously,lead ing to the possibility of planning maintenance based on an actual state of aircraft rather than on a fixed schedule.This paper builds upon a model-based prognostics framework that the authors developed in their previous work,which couples the Extended Kalman filter (EKF) with a first order perturbation (FOP) method.By using the information given by this prognostics method,a novel cost driven predictive maintenance (CDPM) policy is proposed,which ensures the aircraft safety while minimizing the maintenance cost.The proposed policy is formally derived based on the trade-off between probabilities of occurrence of scheduled and unscheduled maintenance.A numerical case study simulating the maintenance process of an entire fleet of aircrafts is imple mented.Under the condition of assuring the same safety level,the CDPM is compared in terms of cost with two other maintenance policies:scheduled maintenance and threshold based SHM maintenance.The comparison results show CDPM could lead to significant cost savings.     

编队卫星的状态测量方法综述及可行的高精度星间基线测量方案研究

基线高精度测量是编队卫星应用需要解决的关键技术之一。针对这个问题,文章从3个方面进行了阐述。首先,综述目前国内外常用的编队卫星状态测量手段,然后在前面分析的基础上,结合编队卫星基线的表示方法和卫星编队飞行的特点,提出了2种可行的基线激光测量方案,并对它们各自的测量精度进行了简单地分析。从分析的结果来看,这2种方法均能实现高精度的基线测量。     

基于滑模变结构和扩张状态观测器的电动舵机复合控制方法

为提高电动舵机伺服系统的鲁棒性,同时解决实际工作中电动舵机不确定负载引起的跟踪精度低的问题,提出了一种采用指数趋近率的滑模变结构控制率结合扩张状态观测器对负载扰动进行实时估计的电动舵机的伺服控制方法,给出了控制器设计方法和试验验证。仿真和试验结果表明,与常规的滑模控制器相比,采用扩张状态观测器的变结构控制能有效提高电动舵机的跟踪性能。     

激光微推进的靶特性研究进展

2003年,首款激光等离子体微推力器(micro-Laser Plasma Thruster,μLPT)应用于美国空军微小卫星姿态轨道控制,激光微推进技术越来越受到业内人士的广泛关注。总结了激光微推进的五种工作模式,并进行了简要分析,重点关注了激光微推进技术发展过程中的靶特性研究现状,介绍了靶材物态和靶材结构两个方面的推进性能研究进展,并对其进行了分析,对激光微推进技术的进一步发展形成了一些认识和建议。     

Robust fault-tolerant control for wing flutter under actuator failure

Many control laws, such as optimal controller and classical controller, have seen their applications to suppressing the aeroelastic vibrations of the aeroelastic system. However, those control laws may not work effectively if the aeroelastic system involves actuator faults. In the current study for wing flutter of reentry vehicle, the effect of actuator faults on wing flutter system is rarely considered and few of the fault-tolerant control problems are taken into account. In this paper, we use the radial basis function neural network and the finite-time H_∞ adaptive fault-tolerant control technique to deal with the flutter problem of wings, which is affected by actuator faults, actuator saturation, parameter uncertainties and external disturbances. The theory of this article includes the modeling of wing flutter and fault-tolerant controller design. The stability of the finite-time adaptive fault-tolerant controller is theoretically proved. Simulation results indicate that the designed fault-tolerant flutter controller can effectively deal with the faults in the flutter system and can promptly suppress the wing flutter as well.