地球-火星的燃料最省小推力转移轨道的设计与优化

小推力转移轨道的设计与优化一直是深空探测轨道设计方面的难点。针对这些问题，提出了一种基于等高线图的初始发射机会搜索方法，该方法通过绘制探测器一火星距离的等高线图寻找满足任务约束的小推力转移轨道发射机会；同时，本文还给出了一种小推力轨道的直接优化算法，该算法通过将连续的控制变量参数化，把轨道优化问题转化为参数优化问题，然后基于所提搜索方法，采用逐次二次规划方法进行求解。数值计算验证了该发射机会初值猜测方法和优化算法的有效性。     

A direct position determination method with combined TDOA and FDOA based on particle filter

The localization of a stationary transmitter using moving receivers is considered. The original Direct Position Determination (DPD) methods, with combined Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA), do not perform well under low Signal-to-Noise Ratio (SNR), and worse still, the computation cost is difficult to accept when the computational capabilities are limited. To get better positioning performance, we present a new DPD algorithm that proves to be more computationally efficient and more precise for weak signals than the conventional approach. The algorithm partitions the signal received with the same receiver into multiple non-overlapping short-time signal segments, and then uses the TDOA, the FDOA and the coherency among the short-time signals to locate the target. The fast maximum likelihood estimation, one iterative method based on particle filter, is designed to solve the problem of high computation load. A secondary but important result is a derivation of closed-form expressions of the Cramer-Rao Lower Bound (CRLB). The simulation results show that the algorithm proposed in this paper outperforms the traditional DPD algorithms with more accurate results and higher computational efficiency, and especially at low SNR, it is more close to the CRLB.     

Real-time trajectory planning for UCAV air-to-surface attack using inverse dynamics optimization method and receding horizon control

This paper presents a computationally efficient real-time trajectory planning framework for typical unmanned combat aerial vehicle (UCAV) performing autonomous air-to-surface (A/S) attack. It combines the benefits of inverse dynamics optimization method and receding horizon optimal control technique. Firstly, the ground attack trajectory planning problem is mathematically formulated as a receding horizon optimal control problem (RHC-OCP). In particular, an approximate elliptic launch acceptable region (LAR) model is proposed to model the critical weapon delivery constraints. Secondly, a planning algorithm based on inverse dynamics optimization, which has high computational efficiency and good convergence properties, is developed to solve the RHCOCP in real-time. Thirdly, in order to improve robustness and adaptivity in a dynamic and uncer- tain environment, a two-degree-of-freedom (2-DOF) receding horizon control architecture is introduced and a regular real-time update strategy is proposed as well, and the real-time feedback can be achieved and the not-converged situations can be handled. Finally, numerical simulations demon- strate the efficiency of this framework, and the results also show that the presented technique is well suited for real-time implementation in dynamic and uncertain environment.     

A review of 9-year performance and operation of the MOPITT instrument

The MOPITT (Measurements of Pollution in the Troposphere) instrument has provided more than nine years of global carbon monoxide (CO) measurements on a continuous basis since its launch aboard the Terra Spacecraft on December 18th, 1999. This paper gives an overview of the core sub-system performance and major issues of the in-flight instrument over the mission period. Some of the instrument anomalies are also discussed. The major successes are: (1) the concept of using a combination of correlation systems such as Length Modulated Cells (LMCs) and Pressure Modulated Cells (PMCs) to retrieve CO profiles in the troposphere; (2) the redundant design in the instrumentation which was crucial for coping with unexpected in-flight anomalies and for continuing the mission in the case of component failure; (3) the thermal environment on orbit that is so stable that some calibration procedures are not necessary; and (4) the recent production of CO total column retrieved from the MOPITT 2.3 μm channel.     

磁悬浮姿控/储能飞轮能量转换控制系统设计与实验研究

针对磁悬浮姿控/储能飞轮(ACESFW)的能量释放问题,采用直流降压斩波原理,设计了一种能量转换控制器,提出对降压斩波器输出进行软件功率因数校正的转换控制方法,将高速ACESFW存储的动能,转变为稳定直流电能输出。仿真和地面试验结果表明,所设计的能量转换器转换效率高,电压输出稳定,高频纹波小,可以满足星上设备的供电要求。     

防空导弹精确制导控制研究

基于主动雷达导引头技术和直接侧向力发动机控制技术,对防空导弹精确制导控制进行了研究.分析了主动雷达导引头给出预测脱靶量和脱靶方位信息,设计了直接侧向力控制方案,对导弹飞行速度、飞行高度、飞行姿态等因素对直接侧向力作用效果的影响进行了分析,研究表明,该方法能够有效减小脱靶量,提高防空导弹制导精度.     

四值Searle运算及其网络设计

本文将Searle运算推广到四值系统中,定义了四值Searle运算,导出了一系列四值Seale运算的公式,最后讨论了四值Searle运算的逻辑网络设计。     

DDS激励PLL频率合成器的研究

频率合成器是现代通信设备的重要组成部分。首先介绍频率合成技术，然后分析了倍频式ＤＤＳ激励ＰＬＬ频率合成器的噪声性能，最后讨论设计中应注意的问题     

霍尔推力器等离子体羽流粒子模拟

建立了霍尔推力器羽流仿真模型,用单元粒子-直接模拟蒙特卡罗（PIC-DSMC）混合方法对SPT-7推力器的流场进行数值模拟,分析背压、扩张角和电子温度对流场的影响。结果表明：背压粒子增加了回流区内离子和高速粒子,加重羽流污染。SPT-70推力器羽流出口处扩张角约为30°。实验数据验证了仿真模型的正确和方法的可行,对电推力器及其羽流污染等的研究有一定的参考价值。     

分子污染对卫星太阳电池翼输出功率的衰减研究

分子污染是引起卫星太阳电池翼输出功率衰减的因素之一。用直接模拟蒙特卡罗（Direct Simulation Monte Carlo）方法分析了空间分子污染物的传输过程，采用十组不同的输入参数计算了在轨运行期间分子污染物在某型号卫星太阳电池翼表面的沉积膜厚度，分析了太阳电池翼输出功率的衰减情况。