Robust model predictive control for satellite formation keeping with eccentricity/inclination vector separation

This study presents model predictive formation control based on an eccentricity/inclination vector separation strategy. Alternative collision avoidance can be accomplished by using eccentricity/inclination vectors and adding a simple goal function term for optimization process. Real-time control is also achievable with model predictive controller based on convex formulation. Constraint-tightening approach is address as well improve robustness of the controller, and simulation results are presented to verify performance enhancement for the proposed approach.     

某飞行器推力矢量试验测力装置研制

为满足某飞行器推力矢量试验的测试要求,采用两台六分量应变天平和一个空气桥组成测力装置来实现飞机全机气动力和喷管推进特性同时分别测量。基于有限元软件,对天平的应变及空气桥对天平的干扰进行了分析。结果表明:空气桥对天平力分量的干扰值优于5%,对力矩(滚转力矩除外)分量的干扰值优于15%,达到了设计指标。通过校准获得了单独天平、天平带空气桥(充压、不充压)状态下的校准公式,校准结果表明:两台天平各分量的综合加载误差均优于0.3%,天平带空气桥(充压、不充压)状态下各分量的综合加载误差优于0.5%,空气桥对天平的干扰量值与有限元分析结果一致。理论分析与实测结果证明:研制的天平及空气桥达到了预定目标,它的测量精准度高,满足推力矢量风洞试验需求。     

A boundary vector cell model of place field repetition

Hippocampal place cells are thought to form the neural substrate of a global cognitive map. However, in multicompartment mazes, these cells exhibit locally repeating representations, undermining the global cognitive map view of place cells. This phenomenon appears to be related to the repetitive layout of these mazes, but still no hypothesis adequately explains it. Here, we use a boundary vector cell (BVC) model of place cell firing to model the activity of place cells in numerous multicompartment environments. The activity of modeled place cells bears a striking resemblance to experimental data, replicating virtually every major experimental result. Our results support the BVC model and indicate that locally repeating place cell firing could result purely from local geometry.     

Thrusting maneuver control of a small spacecraft via only gimbaled-thruster scheme

The thrust vector control (TVC) scheme is a powerful method in spacecraft attitude control. Since the control of a small spacecraft is being studied here, a solid rocket motor (SRM) should be used instead of a liquid propellant motor. Among the TVC methods, gimbaled-TVC as an efficient method is employed in this paper. The spacecraft structure is composed of a body and a gimbaled-SRM where common attitude control systems such as reaction control system (RCS) and spin-stabilization are not presented. A nonlinear two-body model is considered for the characterization of the gimbaled-thruster spacecraft where, the only control input is provided by a gimbal actuator. The attitude of the spacecraft is affected by a large exogenous disturbance torque which is generated by a thrust vector misalignment from the center of mass (C.M). A linear control law is designed to stabilize the spacecraft attitude while rejecting the mentioned disturbance torque. A semi-analytical formulation of the region of attraction (RoA) is developed to ensure the local stability and fast convergence of the nonlinear closed-loop system. Simulation results of the 3D maneuvers are included to show the applicability of this method for use in a small spacecraft.     

实现交互式三维参数化造型的研究

参数化设计方法是当今计算机辅助设计领域的一个热点课题,交互式三维参数化造型可以在原有模型的基础上,快速而方便地生成新的设计方案,大大提高了设计效率。本文所讨论的是通过引入特征的约束关系,利用现有的实体几何造型系统来实现交互式的三维参数化造型的方法。     

螺旋桨向量平衡

螺旋桨旋转时各桨叶的离心力可分解为在桨叶轴线旋转平面内的静不平衡力和垂直于此旋转平面的动不平衡力偶。由于各桨叶不完全相同,这两种不平衡度在不同矩角位置会有差异。但所加静平衡力和动平衡力偶则不随变矩而变化,它们的平衡作用在所有矩角位置都是一样的,可以采用本文所述的向量分析方法,在特制的向量平衡图上预测对各矩角平衡的结果。这样就可以只需一次平衡即使各矩角都平衡合格并达到最佳平衡状态,而用常规平衡方法需要反复凑试甚至无法合格。     

数字电路板故障诊断方法

介绍了数字电路故障诊断向量测试法中功能测试和在线测试的具体方法。结合现代武器系统数字电路板的检测和诊断需要,分别阐述了数字组合和时序电路板、数模混合电路板及微处理器电路板的故障诊断策略及步骤。举例说明了故障诊断方法在数字电路板自动测试系统中的应用。     

用于识别双星故障的RAIM算法

由于传统的基于识别门限的卫星故障识别算法存在漏检和误警致使识别率较低,为此提出一种可用于识别双星故障的接收机自主完好性监测算法.该算法通过构造新的奇偶矢量与故障特征平面,利用奇偶矢量与故障特征平面之间的几何关系来识别卫星故障,使得算法不再受限于识别门限的影响,从而有效地避免了由于识别门限引起的识别效率较低的问题.计算机仿真结果表明:改进后的算法与传统的基于识别门限的算法相比,双星故障正确识别的性能有显著的提高,正确识别率可达到90%.同时,与基于门限识别的重构最优奇偶矢量法相比,计算量可减少约61.2%以上.     

基于支持向量机的航空发动机滑油监控分析

提出了一种基于支持向量机的航空发动机滑油金属含量预测方法。详细分析了支持向量机用于时间序列预测的理论基础,并给出了运用支持向量回归进行多步预测的一般公式,提出了用最终预报误差(FPE)准则优化选取嵌入维数。与传统的AR预测模型相比,支持向量机由于采用了新型的结构风险最小化准则表现出优秀的推广能力。经过数值仿真得出自回归(AR)模型仅适合于短期预测;支持向量机预测推广能力强、具有较强的鲁棒性和容错性,对较长区间预测仍具有较好的效果。最后,将其应用于某型发动机滑油的铁金属含量预测,取得了较好的效果。      

基于空间电压矢量的软起动器变频阶段的优化及仿真

对于空间电压矢量软起动器变频阶段的负相转矩和转速振荡问题,依据电压矢量的控制方法,对频率转换点的选取实行优化。以电机负载状况来获取各个变频阶段的控制角初始值,以恒压频比原则获取控制角终值,以此对软起动器变频阶段的控制进行优化。最后对优化后的软起动器进行仿真验证,结果显示,软起动器工作在变频阶段时,在频率转换点出现的转速超调得到了改善,电流峰值有所减小,没有负转矩出现。