小型喷气无人机总体设计参数优化与分析

以小型喷气无人机的总体方案研究为背景，建立了一种计算机辅助喷气无人机总体参数优化与分析程序系统。着重对适用于无人机的分析模块，如气动分析模块和重量分析模块的建立进行了较多的探索和尝试。为检验该优化分析系统的正确性，首先以意大利研制成功的喷气无人机（米拉奇－１００）为算例进行了验算和比较，然后对两种喷气无人机方案进行了总体参数优化计算，并对优化参数进行了敏感性分析。结果表明，所建立的喷气无人机总体设计参数优化与分析程序系统是可行的，所得结果合理、可信，对正在进行的喷气无人机总体方案研究有一定参考价值。     

Time-optimal trajectory planning for underactuated spacecraft using a hybrid particle swarm optimization algorithm

A hybrid algorithm combining particle swarm optimization (PSO) algorithm with the Legendre pseudospectral method (LPM) is proposed for solving time-optimal trajectory planning problem of underactuated spacecrafts. At the beginning phase of the searching process, an initialization generator is constructed by the PSO algorithm due to its strong global searching ability and robustness to random initial values, however, PSO algorithm has a disadvantage that its convergence rate around the global optimum is slow. Then, when the change in fitness function is smaller than a predefined value, the searching algorithm is switched to the LPM to accelerate the searching process. Thus, with the obtained solutions by the PSO algorithm as a set of proper initial guesses, the hybrid algorithm can find a global optimum more quickly and accurately. 200 Monte Carlo simulations results demonstrate that the proposed hybrid PSO–LPM algorithm has greater advantages in terms of global searching capability and convergence rate than both single PSO algorithm and LPM algorithm. Moreover, the PSO–LPM algorithm is also robust to random initial values.     

大量程力平衡加速度表的系数标定技术

对比研究了用于加速度表标定的重力场，离心机与电模拟的三种方法，给出了在国内目前没有大ｇ值精密离心机条件下，如何解决大量程加速度表的系数标定问题。     

基于Backstepping方法的非线性控制技术及其应用

基于Backstepping方法的设计思想,讨论了一类级联仿射非线性系统的控制问题,即先通过顺序递推的方式构造出非线性系统的李雅普诺夫函数,然后采用反向回溯求解的方式最终得出相应的非线性控制律,得出了一个一般性的设计结果,并且还进一步分析了李雅普诺夫函数中相关参数的选取方法,把它应用到空空导弹的纵向通道自动驾驶仪的设计中,仿真结果表明,通过选择合适的参数,该控制律能够很好地跟踪阶跃指令。     

Group force mobility model and its obstacle avoidance capability

Many mobility models attempt to provide realistic simulation to many real world scenarios. However, existing mobility models, such as RPGM [X. Hong, M. Gerla, G. Pei, C. Chiang, A group mobility model for ad hoc wireless networks, in: Proceedings of ACM/IEEE MSWiM’99, Seattle, WA, August 1999, pp. 53–60] and others, fail to address many aspects. These limitations range from mobile node (MN) collision avoidance, obstacle avoidance, and the interaction of MNs within a group. Our research, the group force mobility model (GFMM) [S.A. Williams, D. Huang, A group force mobility model, Appeared at 9th Communications and Networking Simulation Symposium, April 2006], proposes a novel idea which introduces the concept of attraction and repulsion forces to address many of these limitations. Williams and Huang [A group force mobility model, Appeared at 9th Communications and Networking Simulation Symposium, April 2006] described some of the limitations and drawbacks that many models neglect. This model effectively simulates the interaction of MNs within a group, the interaction of groups to one another, the coherency of a group, and the avoidance of collision with groups, nodes, and obstacles. This paper provides an overview of GFMM and particularly illustrates the GFMM's ability to avoid collision with obstacles, which is a vital property to posses in order to provide a realistic simulaition. We compare our model with the commonly used RPGM model and provide statistical assessments based on connectivity metrics such as link changed, link duration, and relative speed. All will be detailed and explained in this paper.     

国有企业改制中的政府行为分析——兼评河北省首例诉政府国企改制无效案

国企改制是一个复杂的社会问题,容易导致各种利益冲突。面对改制中的各种纷争政府应如何面对？在国企改制中政府应当做什么以及不应当做什么？本文结合国企改制中发生的一起案件,探究国企改制中政府行为存在的问题及应对措施,准确定位政府在国企改制中的角色,规范政府行为。     

给定部分元素的周期Jacobi矩阵的特征对反问题

提出由一个极端特征对构造拥有预先给定的部分元素的周期Ｊａｃｏｂｉ矩阵问题，给出了问题有唯一解的充分必要条件，且给出了数值算法和例子。     

柔索牵引式力觉交互机器人工作空间分析

为了在地面上实现航天员的虚拟作业训练，基于柔索牵引式并联机器人，研究了与VR技术结合的柔索牵引式力觉交互机器人的力螺旋可行工作空间。建立平面柔索的静力学模型，分析竖直平面内4柔索3自由度末端执行器不同位姿及人机交互力下的力螺旋可行工作空间，对比分析了柔索牵引式力觉交互机器人在实际应用中交叉柔索不同布局方式、外力旋量和末端执行器不同结构参数对力螺旋可行工作空间的影响。确定了合理的柔索牵引式力觉交互机器人的力螺旋可行工作空间、合理的柔索布局、末端执行器的结构参数。因为柔索牵引式力觉交互机器人具有工作空间大、可以提供较大的力及力矩、刚度可变、安全性高、人机交互性强等优点，因此可以满足航天员虚拟作业训练的需求。     

Multi-parameter decoupling and slope tracking control strategy of a large-scale high altitude environment simulation test cabin

A large-scale high altitude environment simulation test cabin was developed to accurately control temperatures and pressures encountered at high altitudes. The system was developed to provide slope-tracking dynamic control of the temperature–pressure two-parameter and overcome the control difficulties inherent to a large inertia lag link with a complex control system which is composed of turbine refrigeration device, vacuum device and liquid nitrogen cooling device. The system includes multi-parameter decoupling of the cabin itself to avoid equipment damage of air refrigeration turbine caused by improper operation. Based on analysis of the dynamic characteristics and modeling for variations in temperature, pressure and rotation speed, an intelligent controller was implemented that includes decoupling and fuzzy arithmetic combined with an expert PID controller to control test parameters by decoupling and slope tracking control strategy. The control system employed centralized management in an open industrial ethernet architecture with an industrial computer at the core. The simulation and field debugging and running results show that this method can solve the problems of a poor anti-interference performance typical for a conventional PID and overshooting that can readily damage equipment. The steady-state characteristics meet the system requirements.