基于Pro/E的双轴定位机构虚拟样机的建模与校核

介绍了在Pro/E设计平台上完成某卫星天线双轴定位机构虚拟样机模型的建模、仿真与校核。根据该定位机构的特点,建立了虚拟样机模型并完成静态校核。通过设定必要的参数值,对虚拟样机作包括运动学和动力学仿真的动态校核。由仿真结果与规定设计指标的比较可知,该虚拟样机符合设计要求。     

惯性平台陀螺仪静态漂移系数分离方法研究

针对目前在发射场应用的测试方法不能分离出陀螺仪不等弹性静态漂移系数的现状，通过对陀螺仪静态漂移系数的测试原理和试验方法进行分析，推导了完整分离公式，提出了可行的分离方法，该方法可完整地分离出惯性平台陀螺仪各项静态漂移系数。     

一种三维航迹快速搜索方法

本文提出了基于SAS的自动三维航迹规划方法。该方法通过把约束条件结合到搜索算法中去，有效地减小了搜索空间，缩短了搜索时间，从而使三维规划能够用于实时航迹规划。在搜索过程中地形信息得到了充分利用，使算法生成的航迹能够自动回避地形和威胁。实验证明，该方法能够快速有效地完成规划任务，获得满意的三维航迹。     

D／A变换静态误差的机助分析

12位以下D/A变换的静态误差(包括线性误差和微分线性误差等)主要取决于其电阻网络的精度。根据要求的静态误差限制值来确定网络电阻的容差,或者由已知电阻网络来预测和分析D/A变换的静态误差,是D/A变换研制工作中的一项重要工作。本文提出用蒙特卡洛法来进行这项计算机辅助分析,并以10位D/A变换为例说明仿真过程。文中提供的方法和给出的结果可供有关工程技术人员参考和引用。     

基于非线性动态逆方法的TF/TA控制器设计

为了增强巡航导弹的低空突防能力，应用非线性动态逆原理设计了具有纵向和侧向解耦能力的TF／TA控制器。这种方法利用了反馈线性化理论，研究通过非线性反馈或动态补偿的方法，将非线性系统变换为线性系统(伪线性系统)，然后再按线性系统理论完成系统的各种控制目标设计。由于巡航导弹模型的复杂非线性，本文提出了一种简化方法。针对其各状态变量的时间响应特性不同，采取了分阶控制的方法，将TF／TA控制器分解为内环、中环和外环三层分别设计，这样大大简化了控制器设计的复杂性。最后以某巡航弹为例进行了全系统仿真，仿真结果表明，用非线性动态逆方法设计的TF／TA控制器具有良好的纵侧向解耦能力和快速响应能力。导弹能够准确地跟踪地形轮廓飞行，而且可以有效地绕过地形中的相对高处，并且系统对参数摄动具有一定的鲁棒性。     

智能结构有限元模型的建立及静态形状控制

本文建立了含有分布压电传感元件和执行元件的板结构的有限元模型，提出了一种新的具有电自由度板弯曲单元，用于分析含有分布传感元件和执行元件的板结构。以此为基础，提出了智能结构静态形状控制的一般方法，即被动控制方法和主动控制方法。最后，提供了两个数值示例，说明本文提出的方法的应用。     

高等院校贷款的风险规避与对策

高等院校为适应扩大招生规模的需要，大量举债，目前高校贷款总额已达1500亿-2000亿之间；银行认为贷款安全而主动与高校合作，可以得到回报；政府将为高校贷款（高校为公益事业）承担巨大风险。从高等院校公用、专项经费看，许多院校无力偿还贷款。希望各高校、银行、政府能够有所警示和启迪。     

ESA’s process for the identification and assessment of high-risk conjunction events

ESA’s Space Debris Office provides an operational service for the assessment of collision risks of ESA satellites. Currently, the ENVISAT and ERS-2 missions in low Earth orbits are covered by this service. If an upcoming high-risk conjunction event is predicted based on analysis of Two-Line Element (TLE) data from the US Space Surveillance Network, then independent tracking data of the potential high-risk conjunction object are acquired to improve the knowledge of its orbit. This improved knowledge and the associated small error covariances derived from the orbit determination process scale down the position error ellipsoid at the conjunction epoch. Hence, for the same miss-distance, in most cases an avoidance manoeuvre can be suppressed with an acceptable residual risk.     

Inverted decoupling and LMI-based controller design for a turboprop engine with actuator dynamics

The main objective of the turboprop engine control system is to ensure propeller absorbed power at a constant propeller speed by controlling fuel flow and blade angle. Since each input variable affects the selected output variables, there exist strong interactions between different control loops of a Two-Spool TurboProp Engine (TSTPE). Inverted decoupling is used to decouple the interactions and decompose the TSTPE into two independent single-input single-output systems. The multi-variable PI controller and two single-variable PI controllers are designed for the TSTPE with actuator dynamics based on Linear Matrix Inequality (LMI), respectively, which is derived from static output feedback and pole placement condition. The step responses show that due to the difference in the response times of the selected output variables, it is difficult to design an appropriate multi-variable PI controller. The designed single-variable PI controllers are tested on the TSTPE integrated model to illustrate the effectiveness of the proposed method, that is, the interactions are first decoupled and then the controllers are designed, and the resulting simulated responses show that compared with the controller designed without actuator dynamics, the gas-generator shaft speed and power turbine shaft speed can better track their respective commands under the action of the controller designed with actuator dynamics.     

Virtual target guidance-based distributed model predictive control for formation control of multiple UAVs

The paper proposes a Virtual Target Guidance (VTG)-based distributed Model Predictive Control (MPC) scheme for formation control of multiple Unmanned Aerial Vehicles (UAVs). First, a framework of distributed MPC scheme is designed in which each UAV only shares the information with its neighbors, and the obtained local Finite-Horizon Optimal Control Problem (FHOCP) can be solved by swarm intelligent optimization algorithm. Then, a VTG approach is developed and integrated into the distributed MPC scheme to achieve trajectory tracking and obstacle avoidance. Further, an event-triggered mechanism is proposed to reduce the computational burden for UAV formation control, which takes into consideration the predictive state errors as well as the convergence of cost function. Numerical simulations show that the proposed VTG-based distributed MPC scheme is more computationally efficient to achieve formation control of multiple UAVs in comparison with the traditional distributed MPC method.