无人机近距离编队飞行模型建立及控制器设计

针对无人机编队飞行问题，提出了无人机近距离编队飞行的建模方法。采用全状态量反馈．同时将气动干扰作为非线性反馈，设计出一套适用于无人机近距离编队飞行的自动驾驶仪。通过仿真验证，表明此控制器能较好地稳定优化后的编队飞行结构，并具有良好的鲁棒性。     

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。     

小卫星编队飞行的相对运动学方程研究

以运动学方法为基础研究了编队卫星相对运动的一种更直接方法，利用不同天体力学特性，将相对位置和速度与相对轨道参数建立了联系，首先，详细推导了以运动学方法为基础的相对运动方程，据此可直接得出环绕卫星的轨道根数，其次，为有利于相对轨道分析和设计，对相对运动方程进行了简化，最后，通过例子验证了该方法的正确性，仿真结果表明该方法是有效可行的。     

某型飞机机翼Ⅱ梁框检修周期的计算

本文建立某型飞机Ⅱ梁框结构裂纹形成寿命NP 与裂纹扩展寿命N P 之间的可靠度模型 ,将安全寿命设计与损伤容限设计原理有机结合 ,计算了在给定结构可靠度下该型飞机机翼Ⅱ梁框的检修周期     

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.     

Simultaneous state and actuator fault estimation for satellite attitude control systems

In this paper, a new nonlinear augmented observer is proposed and applied to satellite attitude control systems. The observer can estimate system state and actuator fault simultaneously. It can enhance the performances of rapidly-varying faults estimation. Only original system matrices are adopted in the parameter design. The considered faults can be unbounded, and the proposed augmented observer can estimate a large class of faults. Systems without disturbances and the fault whose finite times derivatives are zero piecewise are initially considered, followed by a discussion of a general situation where the system is subject to disturbances and the finite times derivatives of the faults are not null but bounded. For the considered nonlinear system, convergence conditions of the observer are provided and the stability analysis is performed using Lyapunov direct method. Then a feasible algorithm is explored to compute the observer parameters using linear matrix inequalities (LMIs). Finally, the effectiveness of the proposed approach is illustrated by considering an example of a closed-loop satellite attitude control system. The simulation results show satisfactory perfor-mance in estimating states and actuator faults. It also shows that multiple faults can be estimated successfully.