飞机大迎角滚转运动频率域建模与稳定性分析

本文运用频率域建模法,分别建立了飞机大迎角滚转运动的Ｆｏｕｒｉｅｒ变换模型及非线性代数模型,并从数学模型中提取动导数。基于非线性非定常数学模型与局部线化的动导数数学模型,计算了飞机滚转运动的稳定性,并运用李雅普诺夫稳定性分析理论,进行飞机滚转运动稳定性分析。结果表明,大振幅非定常滚转运动实验可以用于飞机绕体轴滚转运动的稳定性分析。从大振幅实验数据提取的动导数,基本反映了飞机的非定常气动力特性。通过     

行星齿轮传动的功率分流动态均衡优化设计

本文研究了浮动件支承刚度对行星齿轮功率分流动态均衡性的影响,引入功率分流动态不均衡系数K_c和动载系数 K_d,定量地描述了不同支承刚度下功率在各行星齿轮间分配不均衡程度和啮合动载荷波动程度。以浮动件支承刚度为设计变量,使 K_c和 K_d 达到极小为目标函数,采用遗传算法对 2 K -H行星齿轮传动进行了动态优化设计。研究表明:优化后的行星齿轮传动不仅固有频率有所降低,而且在工作转速附近,功率分流不均衡及动载荷皆有较大改善。      

实现Developer/2000环境下动态生成报表功能

通常数据库应用系统中的输出报表必须在系统开发阶段定制,不能满足用户不断变化的管理需求.介绍了用Oracle开发工具Developer/2000结合DDE(Dynamic Data Exchange)技术实现任选查询和动态生成报表的方法,这种方法允许用户根据自己的要求选择输出报表的内容和格式,并利用Excel进行编辑,极大地增强了系统的报表生成能力和灵活性,具有很好的实用性.      

先进太阳能热动力发电系统吸热/蓄热器研究

先进太阳能热动力发电系统研究目的是提高系统的效率,提高功率/重量比,为将来太阳能热动力发电系统在空间的广泛应用打下基础。通过对四种先进太阳能吸热/蓄热器的结构、性能及其设计进行分析评价,为进一步研究有发展前途的新型吸热器/蓄热器提供了参考依据。分析研究结果表明采用热管吸热器作为先进太阳能热动力系统吸热/蓄热器,大大减轻了系统质量,具有良好的应用前景。      

卫星动力学环境试验数据库系统的设计与实现

文章在对卫星动力学环境试验数据库的需求进行分析的基础上,提出了数据库系统的总体设计框架和模块结构设计,并介绍了它的多元化分析整体设计过程。系统的总体框架分为4层：数据获取层、数据存储层、逻辑层和客户层。模块主要分为：入库与出库模块、查询模块、报告生成模块、功能接口模块和模态虚拟试验平台模块。该数据库现已应用于卫星动力学环境试验中。     

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.     

Multiple-constraint cooperative guidance based on two-stage sequential convex programming

An improved approach is presented in this paper to implement highly constrained cooperative guidance to attack a stationary target. The problem with time-varying Proportional Navigation (PN) gain is first formulated as a nonlinear optimal control problem, which is difficult to solve due to the existence of nonlinear kinematics and nonconvex constraints. After convexification treatments and discretization, the solution to the original problem can be approximately obtained by solving a sequence of Second-Order Cone Programming (SOCP) problems, which can be readily solved by state-of-the-art Interior-Point Methods (IPMs). To mitigate the sensibility of the algorithm on the user-provided initial profile, a Two-Stage Sequential Convex Programming (TSSCP) method is presented in detail. Furthermore, numerical simulations under different mission scenarios are conducted to show the superiority of the proposed method in solving the cooperative guidance problem. The research indicated that the TSSCP method is more tractable and reliable than the traditional methods and has great potential for real-time processing and on-board implementation.     

正弦波型高频动态压力光学校准系统及其应用

动态压力是气动部件表面的关键气动参数。光学压力敏感涂料（PSP）测量技术在测量气动部件表面动态压力方面具有全域测量、不影响流场自身的优势，而光学压力敏感涂料的动态响应特性则是进行动态压力测量的决定性因素。基于声学驻波管原理，自主设计并组建了正弦波型高频动态压力光学校准系统，主要包含有驻波管型校准舱、声源、激光源、高频压力传感器、光电倍增管以及测控系统。对动态压力光学校准系统及某新型快响压敏涂料的实验结果表明，所组建的动态压力校准系统可产生最短响应时间12.5 μs、最大压力幅值为4.37 kPa的正弦型动态压力，其有效动态频响范围为0.4~20.0 kHz（50 μs~2.5 ms），不确定度小于0.004 9%；校准系统合理的光路布局可进行快响压敏涂料动态特性的校准，所测涂料可用于动态频响不高于9.1 kHz（响应时间为109.9 μs）的非定常流场的压力测量。     

基于改进GPC的无人直升机动态路径规划

针对小型无人直升机航迹受到风场扰动和导航系统定位误差影响下的航迹最优规划问题,建立了风扰动和导航误差影响下的飞行航迹线性模型。基于混合整数规划思想,采用粒子滤波改进广义模型预测控制算法实时规划航迹,降低了导航定位误差造成的航迹估计偏差,提高了航迹估计精度。仿真结果表明,该算法能够生成三维可行航迹并躲避障碍物,且规划时间和无人机能耗较传统方法显著减少。