自吸气脉冲爆震发动机超声速进气道气动性能的数值研究

采用有限体积法计算了某轴对称超声速进气道,在不同幅度和频率的出口扰动压强下的进气道内结尾正激波的运动情况,得出了进气道内结尾正激波运动特性和扰动压强的频率和幅度的关系。在计算中,本文采用了多块结构化网格,控制体积的界面无粘通量采用三阶迎风格式插值获得,同时采用了minmod通量限制器,以确保在激波处的解的物理特性;扩散通量采用二阶中心差分格式插值获得。定常计算采用当地时间步法,非定常计算采用双时间步法。离散的代数方程采用交替方向迭代法求解。     

激光微推进器用于微小卫星的姿轨控仿真

为研究激光微推进器用于微小卫星在轨空间飞行任务的可行性,利用已建立的激光推进微小卫星仿真平台,对微小卫星在轨姿态调整、轨道维持和轨道转移等飞行任务进行了仿真和分析。仿真结果表明,星载激光微推进器可满足在轨微小卫星的高控制精度姿态调整、近地观测轨道维持以及较长时间要求的轨道转移等空间任务对推进系统的要求。     

飞机性能优化研究

本文用能量状态近似法和奇异摄动法两件方法讨论了最优飞行剖面的生成.并以某机为例,用能量状态近似法求出了给定航程下的最优飞行剖面和给定初、末状态的爬升飞行剖面;为了对两种方法比较,也给出了奇异摄动法求得的爬升剖面.     

大攻角非对称流动的非定常弱扰动控制

 研制了一种新的大攻角细长旋成体非对称涡的主动控制技术, 即在细长旋成体头部施加非定常弱扰动来控制头部非对称背涡。应用七孔探针测量的空间截面流场揭示了非定常控制下非对称涡变成对称涡的流态特征。测力试验研究结果表明该方法不仅能完全消除背涡的非对称性及其产生的侧向力, 并且有效控制攻角范围从30b直到80b。     

卫星优化热设计方法

试图把最优化技术应用于卫星工程的热设计中,提出一种优化热设计的方法,并以14个节点模型作为实例进行了计算分析,采用Hooke-Jeeves 的直接搜索法得到了满意的结果。初步编制的计算机程序,可作为卫星热设计方案计算的基础。     

卫星通信的产业化

回顾了中国发展卫星通信的简要历史，介绍了中国卫星通信的现状和作用。在调查国内用户需求的基础上，预测了１９８８－２００２年国内用户对卫星通信转发器需要的数量。     

Online scheduling of distributed Earth observation satellite system under rigid communication constraints

This paper focused on online scheduling of distributed Earth observation satellite system in a dynamic environment. The objective was to maximize the total profit of the overall system by efficiently coordinating the different satellites with stochastic arrival of urgent tasks, subject to rigid communication and observation time window constraints. We formulated this problem as a single-task, single-robot, time-extended assignment problem with intra-schedule dependency using the multi-robot task assignment taxonomy and formulated the sub-problem after releasing urgent tasks in a mixed-integer linear programming model. We first described the online scheduling algorithm for a single satellite, then we proposed the modified consensus-based bundle algorithm (m-CBBA) and modified asynchronous consensus-based bundle algorithm (m-ACBBA) with synchronous and asynchronous communication, respectively. Compared with initial versions of CBBA and ACBBA, the modified versions added the communication loop prediction phases to efficiently utilize scarce communication opportunities and reduce the communication requirements. Additionally, we introduce two contract net protocol (CNP)-based algorithms for comparison, respectively SingleItem-CNP-based (SI-CNP) algorithm and Batch-CNP-based (BA-CNP) algorithm. Computational experiments indicated that both the total profit and percentage of scheduled urgent tasks achieved by the m-ACBBA and m-CBBA algorithms were much higher than those achieved by both SI-CNP and BA-CNP. Additionally, the number of communications needed by either m-ACBBA or m-CBBA algorithm was lower than that by SI-CNP. When the communication cost in the system is high, the m-CBBA algorithm is preferred because it balances the profit and the required number of communications. When the communication cost is low, the m-ACBBA algorithm is preferred because it achieves high total profit and high percentage of scheduled urgent tasks.     

Adaptive suppression of passive intermodulation in digital satellite transceivers

For the performance issues of satellite transceivers suffering passive intermodulation interference,a novel and effective digital suppression algorithm is presented in this paper.In con trast to analog approaches,digital passive intermodulation (PIM) suppression approaches can be easily reconfigured and therefore are highly attractive for future satellite communication systems.A simplified model of nonlinear distortion from passive microwave devices is established in consid eration of the memory effect.The multiple high-order PIM products falling into the receiving band can be described as a bilinear predictor function.A suppression algorithm based on a bilinear poly nomial decorrelated adaptive filter is proposed for baseband digital signal processing.In consideration of the time-varying characteristics of passive intermodulation,this algorithm can achieve the rapidness of online interference estimation and low complexity with less consumption of resources.Numerical simulation results show that the algorithm can effectively compensate the passive intermodulation interference,and achieve a high signal-to-interference ratio gain.     

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.