决策单元的变更对DEA有效性的影响

文中研究C~2R模型和C~2GS~2模型,当决策单元增加或减少时,DEA有效决策单元的变化。给出了DEA有效性发生变化的一些充分条件、必要条件,以及决策单元的DEA有效性都不变化的充分必要条件。     

基于神经网络模型的学习诊断

基于故障树模型的诊断把故障树的底事件分成三部分：必然的故障源集（ＣＦＳ）、正常底事件集（ＮＥＳ）和可能的故障源集（ＰＦＳ），及如何进一步确定ＰＦＳ中各元素的状态（正常或异常）。在存在大量训练样本的情况下，可采用基于神经网络模型的学习诊断方法来确定ＰＦＳ中各元素的状态，并通过对某卫星能源系统故障模拟原理性试验台的故障诊断验证了该方法的有效性。     

用最小二乘法评定圆柱度误差的理论与算法

建立了用最小二乘法评定圆柱度误差的理论与算法,并对圆柱度误差进行了定量分析和定性分析,给出了误差分离的定量计算公式,将其分离成形状误差、参数误差和方向误差,并指出了每种误差的补偿原则。所推导的数学模型简单、明了,具有推广价值。     

一种负极性直流高压线性电源设计

本文提出了一种基于光耦反馈调整的负极性高压线性电源解决方案，使用NPN型三极管作为功率调整管的前提下，实现了负1200V直流电压输出。本文对提出的电源方案建立了小信号传递函数模型，在传递函数模型的基础上论证了所提出的电源系统具有稳定性高、噪声低等优点。     

遗传算法在弹道数据融合中的应用

目前靶场采用全测元融合滤波的方式确定目标飞行器弹道,为测控设备提供引导信息并为安全决策和指挥显示提供数据支持。随着靶场测控设备种类和数量越来越丰富,而新的试验任务又对实时弹道融合解算精度提出了更高的要求,全测元融合处理能否提供高精度的融合弹道和快速地从海量融合方案中寻找最优的方案是弹道测量数据融合急需解决的问题。本文提出了基于遗传算法的最优融合方案选择方法,利用该方法得到的融合弹道精度优于全测元融合方案,仿真结果表明了方法的有效性。     

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.     

轻型飞行模拟器并联机构约束检验算法的研究

采用6-3UPS边置式座舱结构的轻型飞行模拟器,其工作空间受约束条件的限制。在数学描述的基础上,对影响工作空间的各项约束检验算法进行研究,并分析约束条件下轻型飞行模拟器的工作空间,为控制算法的研究提供依据。     

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.     

多模切换控制方法及其在分导飞行器姿态机动控制中的应用研究

研究一类离散切换系统的鲁棒保性能状态反馈控制器设计问题。利用切换Lyapunov函数和线性矩阵不等式方法,得到了鲁棒保性能控制器存在的一个充分条件,给出了控制器的参数化表示,并将次优保性能控制器的设计问题转化为基于线性矩阵不等式约束下的凸优化问题。最后将所提理论应用于某飞行器的控制方案设计中,说明了本文所提设计方法的有效性。