飞机穿越微下击暴流风场进场着陆运动特性

应用模糊逻辑建模与辨识的方法建立了微下击暴流模型，利用此模型对A300飞机进场着陆时穿越微下击暴流进行了模拟，分析了低空风切变模型中高度因素的影响，说明了二维模型比一维模型更为优越。结果表明，提出的建模方法能够更好地以映出飞机穿赵微下击暴流的动态特性。通过分析初始高度对飞机穿越微下击暴流动态性能的影响，得出了一些重要的结论，从而对低空风切变危害飞机安全的物理本质有了进一步的认识。     

复杂系统的可靠度优化分配

阐述了复杂系统可靠度优化分配的一种方法－－花费最小分配法及其应用。介绍了花费最小分配法的概念、复杂系统可靠度分配模型、花费最小分配法进行可靠度分配前的数学处理及花费最小分配法的应用实例。指出，花费最小分配法与其他方法结合进行复杂系统可靠度分配，可以达到优化分配的目的。     

SOPC技术在软件无线电平台中的应用

介绍使用基于NIOSII软核处理器的SOPC技术,并采用基于SOPC的软件无线电技术对一个传统的抗干扰电台进行重新设计,增强了系统功能,改善了系统的灵活性,并提高了其适应不同应用需求的伸缩性。     

A simultaneous assignment methodology of right/left eigenstructures

In the sense of eigenstructure (eigenvalues/eigenvectors) assignment, the effectiveness and disturbance suppressibility of a controller are mainly dependent on the left eigenstructure (eigenvalues/left eigenvectors) of a system. However, the disturbance decouplability is governed by the right eigenstructure (eigenvalues/right eigenvectors) of the system. In order to obtain a disturbance decouplable as well as effective and disturbance suppressible controller, a simultaneous assignment methodology of the right and left eigenstructures is proposed. The biorthogonality property between the left and right modal matrices of a system as well as the relations between the achievable right modal matrix and states selection matrices are used to develop the methodology. The proposed simultaneous eigenstructures assignment methodology guarantees that the desired eigenvalues are achieved exactly and the desired left and right eigenvectors are assigned to the best possible(achievable) sets of eigenvectors in the least square sense, respectively. An L-1011 flight control application is presented to illustrate the usefulness of the proposed methodology     

Adaptive attitude control of spacecraft using neural networks

An adaptive control technique can be applicable to reorient spacecraft with uncertain properties such as mass, inertial and various misalignments. A nonlinear quaternion feedback controller is chosen as a baseline attitude controller. A linearly added adaptive input supported by neural networks to the baseline controller can estimate and eliminate the uncertain spacecraft property adaptively. The normalized input neural networks (NINNs) are examined for reliable computation of the adaptive input. The newly defined learning rules of the neural networks are established appropriately for a spacecraft. To prove the stability of the closed-loop dynamics with the control law, Lyapunov stability theory is considered. As a result, the proposed approach results in the uniform ultimate boundedness in tracking error and robustness of the chattering and the singularity problems.     

Architectures and algorithms for track association and fusion

Target tracking using multiple sensors can provide better performance than using a single sensor. One approach to multiple target tracking with multiple sensors is to first perform single sensor tracking and then fuse the tracks from the different sensors. Two processing architectures for track fusion are presented: sensor to sensor track fusion, and sensor to system track fusion. Technical issues related to the statistical correlation between track estimation errors are discussed. Approaches for associating the tracks and combining the track state estimates of associated tracks that account for this correlation are described and compared by both theoretical analysis and Monte Carlo simulations     

霍尔推力器预电离对低频振荡及壁面腐蚀影响的研究

ATON型霍尔推力器提出后,基于缓冲区的预电离现象的系列研究随之展开。但是迄今为止,预电离率的选择仍然未有定论。文章基于SPT-100型霍尔推力器的真实工作尺寸,建立了二维轴对称全粒子网格质点法（PIC）模型对推力器放电室内的放电过程进行模拟,并通过施加不同的缓冲区预电离率着重研究了预电离率与放电通道低频振荡和推力器壁面腐蚀之间的关系。研究结果显示,缓冲区预电离率的提高可以有效抑制放电通道内的低频振荡,使推力器工作性能提高。但与此同时,由于撞击通道壁面的离子能量增加导致通道壁面腐蚀加剧。     

无人机非线性非仿射飞控系统的自适应模糊H∞ 输出反馈控制及其应用

研究了非仿射非线性系统的模糊自适应H∞输出反馈跟踪。在非仿射非线性模型不确定或未知的情况下,首先将非仿射系统展开为仿射系统的形式,使用模糊自适应控制器对系统进行控制,然后基于Lyapunov稳定性定理得出自适应律,并通过解一个代数Riccati方程实现了H∞跟踪性能。在状态不可测情况下,引入高增益观测器估计系统状态并设计了输出反馈控制器,实现了系统的输出反馈控制性能。最后,通过对无人机飞行控制的仿真验证了算法的有效性。