基于分布式管理架构的应用型网管系统的设计与研究

根据当前IT应用的普及情况,分析了大中型企业中网络资源管理存在的问题,研究了网管软件的相关技术并设计了一套符合当前应用需求的分布式管理架构的应用型网管系统。该系统不但可监测各类操作系统的性能,还可对数据库、WEB服务等应用服务器的性能进行监控。结合网管软件的发展动态,展示了该应用型网管系统的工程应用价值。     

具有多输入和扰动作用的空空导弹滚动通道的前馈/反馈自适应控制器

中程空空导弹的参数处于激烈、大范围的时变中，采用古典控制器很难满足不同高度弹道的性能规范。为了使导弹在飞行高度和速度大范围变化时均能保持优良性能，采用数字自适应控制方法是合适的。本文提出了一种基于超稳定性理论的飞行控制系统方案，其性能明显优于不采用自适应控制器的古典系统。     

卫星ATM网络中自适应FEC情况下的有效带宽估计

针对采用自适应前向差错控制（AFEC）的卫星异步传递模式（ATM）网络，研究了两种有效带宽估计方法。由于AFEC码率的动态特性使业务实际的传输速率具有不固定性，因此估计有效带宽时要考虑AFEC的影响。首先针对一般卫星时变信道和多码率AFEC情况下的卫星ATM，应用流体近似方法分析了有效带宽的计算，然而该方法要求的条件及计算复杂度均比较高，应用中有局限性。以此方法为基础，提出了采用修正因子的估计方法。数值结果表明采用修正因子的有效带宽估计方法比较简单可靠，适用面较广。     

利用存储过程实现简单分布式计算的方法

传统的高性能计算中间件几乎都是建立在操作系统层级之上为用户提供高性能计算和资源共享,普通用户一般很难掌握和使用。作者提出了一种建立在数据库管理系统层级之上使用存储过程完成简单分布式计算的方法,即各节点计算过程相对独立,无需频繁的消息传递,并以蒙特卡罗法计算圆周率为例说明了计算方法的设计和实现。实验结果表明该方法容易掌握、易于实现,计算效率较高,具有较高的使用和推广价值,是一种新的高性能计算方法。     

分布式计算机技术在飞机非标测控设备中的应用和实现

在研究、分析和总结分布式计算机技术与系统实现的基础上，以苏-27战斗机火控雷达天线部件性能测控系统研制过程为例，详细论述了分布式计算机测控系统的实现模式，介绍了一种先进合理的非标测控设备设计解决方案和快捷、低成本的系统实用集成方案。     

高阶对象的二阶模型匹配

本文证明了对于一类高阶对象，其输出可以用一系列系数连续变化的线性定常二阶系统的输出组合完全代替。     

Neural adaptive control for a ground experiment of the space proximity operation in a six-degree-of-freedom micro-gravity simulation system

In this study, a neural adaptive controller is developed for a ground experiment with a spacecraft proximity operation. As the water resistance in the experiment is highly nonlinear and can significantly affect the fidelity of the ground experiment, the water resistance must be estimated accurately and compensated using an active force online. For this problem, a novel control algorithm combined with Chebyshev Neural Networks (CNN) and an Active Disturbance Rejection Control (ADRC) is proposed. Specifically, the CNN algorithm is used to estimate the water resistance. The advantage of the CNN estimation is that the coefficients of the approximation can be adaptively changed to minimize the estimation error. Combined with the ADRC algorithm, the total disturbance is compensated in the experiment to improve the fidelity. The dynamic model of the spacecraft proximity maneuver in the experiment is established. The ground experiment of the proximity maneuver that considers an obstacle is provided to verify the efficiency of the proposed controller. The results demonstrate that the proposed method outperforms the pure ADRC method and can achieve close-to-real-time performance for the spacecraft proximity maneuver.     

Backstepping sliding-mode control of stratospheric airships using disturbance-observer

In the presence of unknown disturbances and model parameter uncertainties, this paper develop a nonlinear backstepping sliding-mode controller (BSMC) for trajectory tracking control of a stratospheric airship using a disturbance-observer (DO). Compared with the conventional sliding mode surface (SMS) constructed by a linear combination of the errors, the new SMS manifold is selected as the last back-step error to improve independence of the adjustment of the controller gains. Furthermore, a nonlinear disturbance-observer is designed to process unknown disturbance inputs and improve the BSMC performances. The closed-loop system of trajectory tracking control plant is proved to be globally asymptotically stable by using Lyapunov theory. By comparing with traditional backstepping control and SMC design, the results obtained demonstrate the capacity of the airship to execute a realistic trajectory tracking mission, even in the presence of unknown disturbances, and aerodynamic coefficient uncertainties.     

分布式容错配电系统设计与仿真

阐述了分布式容错配电系统的功能需求及构型设计,完成了分布式容错配电仿真验证系统的研制,并进行了试验验证。结果表明:系统运行可靠,控制逻辑正确,系统设计满足功能要求。     

Direction finding for two-dimensional incoherently distributed sources with Hadamard shift invariance in non-uniform orthogonal arrays

This paper proposes a novel algorithm for Two-Dimensional (2D) central Direction-of-Arrival (DOA) estimation of incoherently distributed sources. In particular, an orthogonal array structure consisting of two Non-uniform Linear Arrays (NLAs) is considered. Based on first-order Taylor series approximation, the Generalized Array Manifold (GAM) model can first be established to separate the central DOAs from the original array manifold. Then, the Hadamard rotational invariance relationships inside the GAMs of two NLAs are identified. With the aid of such relationships, the central elevation and azimuth DOAs can be estimated through a search-free polynomial rooting method. Additionally, a simple parameter pairing of the estimated 2D angular parameters is also accomplished via the Hadamard rotational invariance relationship inside the GAM of the whole array. A secondary but important result is a derivation of closed-form expressions of the Cramer-Rao lower bound. The simulation results show that the proposed algorithm can achieve a remarkably higher precision at less complexity increment compared with the existing low-complexity methods, which benefits from the larger array aperture of the NLAs. Moreover, it requires no priori information about the angular distributed function.