基于混合遗传算法的火箭姿态控制设计方法

针对火箭控制系统姿态网络设计,提出了一种采用遗传算法和模拟退火算法混合的算法进行姿态网络自动设计的方法。该算法实现了已知校正网络幅频特性曲线的幅频向量,通过系统辨识和寻优搜索,可以计算出该网络的传递函数。本文对该算法进行了试验验证,证明该方法可行并优于单纯的模拟退火算法和遗传算法。     

FC72-氮气混合气体流动冷凝效率研究

混合气体（可凝蒸气与不可凝气体）相对于纯可凝蒸气,其流动冷凝过程更为复杂,冷凝效率受不可凝气体的浓度及冷凝温度影响.为对空间任务蒸发冷凝实验平台排放的废气FC72进行清理回收,针对所研制的FC72气液分离与收集器,在地面环境下对不同浓度的混合气体在不同冷凝温度下进行了流动冷凝效率实验.结果表明,对于FC72与氮气的混合气体,当冷凝器温度一定时,随着FC72浓度的增加,该气液分离与收集器的冷凝效率提高.在冷凝器温度约为-10℃,FC72浓度高于70%时,流动冷凝效率达到80%以上;当冷凝器温度降低至约-13℃,FC72浓度高于30%时,流动冷凝效率达到70%以上;当冷凝器温度降至约-15℃,FC72浓度高于20%时,流动冷凝速率均达到60%以上.     

Assimilation of endmember variability in spectral mixture analysis for urban land cover extraction

Variable Endmember Constrained Least Square (VECLS) technique is proposed to account endmember variability in the linear mixture model by incorporating the variance for each class, the signals of which varies from pixel to pixel due to change in urban land cover (LC) structures. VECLS is first tested with a computer simulated three class endmember considering four bands having small, medium and large variability with three different spatial resolutions. The technique is next validated with real datasets of IKONOS, Landsat ETM+ and MODIS. The results show that correlation between actual and estimated proportion is higher by an average of 0.25 for the artificial datasets compared to a situation where variability is not considered. With IKONOS, Landsat ETM+ and MODIS data, the average correlation increased by 0.15 for 2 and 3 classes and by 0.19 for 4 classes, when compared to single endmember per class.     

Experimental comparison between aircraft fuel tank inerting processes using NEA and MIG

Fuel tank inerting technologies are able to reduce the fire risk by injection of inert gas into the ullage or fuel, the former called ullage washing and the latter fuel scrubbing. The Green On-Board Inert Gas Generation System (GOBIGGS) is a novel technology based on flameless catalytic combustion, and owning to its simple structure and high inerting efficiency, it has received a lot of attentions. The inert gas in the GOBIGGS is mainly comprised of CO₂, N₂, and O₂ (hereinafter, Mixed Inert Gas (MIG)), while that in the On-Board Inert Gas Generation System (OBIGGS), which is one of the most widely used fuel tank inerting technologies, is Nitrogen-Enriched Air (NEA). The solubility of CO₂ is nearly 20 times higher than that of N₂ in jet fuels, so the inerting capability and performance are definitely disparate if the inert gas is selected as NEA or MIG. An inerting test bench was constructed to compare the inerting capabilities between NEA and MIG. Experimental results reveal that, if ullage washing is adopted, the variations of oxygen concentrations on the ullage and in the fuel are nearly identical no matter the inert gas is NEA or MIG. However, the ullage and dissolved oxygen concentrations of MIG scrubbing are always higher than those of NEA scrubbing.     

二元混压超声速进气道三维流动数值分析

按照MacCormack时间分裂方法，应用NND格式、对流迎风矢通量分裂（AUSM）技术和Baldwin-Lomax混合长度代数湍流模型，对贴体坐标下三维雷诺平均N－S方程进行有限差分离散。数值计算了均匀来流和非均匀来流条件下二元混压超声速进气道三维湍流流动态，分析了该进气道主要性能参数随出口反压、来流马赫数、导弹工作高度及飞行攻角的变化特性，为深入研究进气道性能提供了一定辅助手段。     

液体冲压发动机数字电子控制系统换

为某型号整体式液体冲压发动机设计了数字电子-液压机械控制系统,介绍了该系统的控制方案、工作原理和工作方式.数字电子-液压机械控制系统和冲压发动机与弹体数字仿真器等组成液体冲压发动机、弹体/发动机控制系统半实物仿真系统,对数字电子-液压机械控制系统的功能及工作协调性进行了检验.半实物仿真试验结果证明,该系统满足设计要求.     

VC 与MATLAB的混合编程

介绍ＶＣ＋ ＋ 与ＭＡＴＬＡＢ混合编程并产生独立可执行文件的接口原理及ＶＣ＋ ＋中使用ＭＡＴＬＡＢ函数库的基本注意事项     

二维高超声速压缩面斜激波系的优化配置

选择进气道外压缩段的气流转折角为设计变量,以进气道的压升比为约束条件,分别以总压恢复系数和阻力系数为优化目标,基于一维气体动力学,在飞行马赫数6,飞行高度25 km,进气道出口气流方向与自由来流夹角等于0,°2,°4°和6°的条件下,对二维混压式高超声速进气道进行了优化设计,得到了优化的斜激波配置。优化结果表明,在所讨论的各种情况下,以阻力系数最小为目标得到的外压缩段斜激波系与以总压恢复系数最大为目标得到的外压缩段斜激波系基本相同,都近似为等强度斜激波系。运用数值模拟手段验证了等强度斜激波系配置原则,本文提供的方法可以用于二维混压式高超声速进气道的初步设计。     

Hybrid partition- and network-level scheduling design for distributed integrated modular avionics systems

Distributed Integrated Modular Avionics (DIMA) develops from Integrated Modular Avionics (IMA) and realizes distributed integration of multiple sub-function areas. Time-triggered network provides effective support for time synchronization and information coordination in DIMA systems. However, inconsistency between processing resources and communication network destroys the time determinism benefiting from partitions and time-triggered mechanism. To ensure such time determinism and achieve guaranteed real-time performance, system design should collectively provide a global communication scheme for messages in network domain and a corresponding execution scheme for partitions in processing domain. This paper firstly establishes a general DIMA model which coordinates partitioned processing and time-triggered communication, and then proposes a hybrid scheduling algorithm using Mixed Integer Programming to produce feasible system schemes. Furthermore, incrementally integrating new functions causes upgrades or reconfigurations of DIMA systems and will generate integration cost. To control such cost, this paper further develops an optimization algorithm based on Maximum Satisfiability Problem and guarantees that the scheduling design for upgraded DIMA systems inherit their original schemes as much as possible. Finally, two typical cases, including a simple fully connected DIMA system case and an industrial DIMA system case, are constructed to illustrate our DIMA model and validate the effectiveness of our hybrid scheduling algorithms.     

Obstacle avoidance handling and mixed integer predictive control for space robots

This paper presents a novel obstacle avoidance constraint and a mixed integer predictive control (MIPC) method for space robots avoiding obstacles and satisfying physical limits during performing tasks. Firstly, a novel kind of obstacle avoidance constraint of space robots, which needs the assumption that the manipulator links and the obstacles can be represented by convex bodies, is proposed by limiting the relative velocity between two closest points which are on the manipulator and the obstacle, respectively. Furthermore, the logical variables are introduced into the obstacle avoidance constraint, which have realized the constraint form is automatically changed to satisfy different obstacle avoidance requirements in different distance intervals between the space robot and the obstacle. Afterwards, the obstacle avoidance constraint and other system physical limits, such as joint angle ranges, the amplitude boundaries of joint velocities and joint torques, are described as inequality constraints of a quadratic programming (QP) problem by using the model predictive control (MPC) method. To guarantee the feasibility of the obtained multi-constraint QP problem, the constraints are treated as soft constraints and assigned levels of priority based on the propositional logic theory, which can realize that the constraints with lower priorities are always firstly violated to recover the feasibility of the QP problem. Since the logical variables have been introduced, the optimization problem including obstacle avoidance and system physical limits as prioritized inequality constraints is termed as MIPC method of space robots, and its computational complexity as well as possible strategies for reducing calculation amount are analyzed. Simulations of the space robot unfolding its manipulator and tracking the end-effector’s desired trajectories with the existence of obstacles and physical limits are presented to demonstrate the effectiveness of the proposed obstacle avoidance strategy and MIPC control method of space robots.