用重要性抽样方法估计分组码同时纠错和检错时的性能

研究用重要性抽样仿真方法估计线性分组码同时纠错和检错时的不可检错误概率。从理论上得到了最佳偏置转移概率和仿真效率的表达式。对 (1 5,7) BCH码和 (2 3,12 ) Golay码的仿真表明,重要性抽样是一种非常有效的仿真方法。     

柔性航天器高精度隔振与定向研究

随着大型航天器柔性越来越大,结构越加复杂,导致低频柔性模态密集,但同时需要极高的定向精度及姿态稳定度, 这就对航天器姿态控制系统提出了更高的要求。本文采用拉格朗日法建立了柔性航天器姿态轨道耦合动力学模型,并设计了大角度机动航天器的姿态控制器。Lyapunov定理给出闭环系统的稳定性,在0.03Nm均方根的白噪声扰动下,大角度机动姿态角误差小于0.02°,均方根误差0.003°, 为了抑制姿态抖振,设计了复合控制器,采用Stewart平台对敏感载荷局部高精度主动隔振和定向,局部控制后敏感载荷的定向误差小于0.0001°,均方根误差0.000036°。鲁棒 Η ∞ 控制器对Stewart平台主动镇定时,姿态抖振小于0.000002°,均方根误差小于 0.0000008° ,姿态稳定度优于0.00001°/s。     

一种应用于电子印章服务的数字水印算法的研究

印章图像在实际商业交往中的应用很广泛,针对传统印章的易伪造弊端,通过将密码签名原理和数字水印技术应用于电子印章之中,实现了机密文档的防篡改功能,身份认证功能及不可否认性功能.为确保其在图片域中的安全性,采用一种新的基于DCT域的水印算法,该算法对于打印扫描过程具有较强鲁棒性,并且使水印具有良好的透明性.     

基于TDICCD相机有源低通滤波器的优化研究

文章通过分析低通滤波器的特性,指出航天TDICCD相机中有源低通滤波器的重要性,提出优化实现的可行性,并给出了具体原理电路及仿真结果。     

多态故障树广义负前馈自动建树算法的研究及其应用

阐述了控制系统多态故障树自动建树的一种方法,提出了基于控制系统功能图的系统及其组成部件的规范化描述方法,提出了广义负前馈处理的算法,完善了自动建树中对复杂结构处理的算法;并结合一个飞控系统的实例,验证了算法的正确性。使得故障树自动建树朝着真正自动化的方向发展。     

Recent advances in film cooling enhancement: A review

Film cooling is an indispensable scheme in the design of highly-efficient cooling configurations to satisfy the thermal protection requirement of turbine hot section components. During the last few decades, vast efforts have been paid on the discrete-hole film cooling enhancement. In this paper, some of the recent literatures related to the passive strategies (such as shaped film cooling holes, upstream ramps, shallow trenches, mesh-fed slots) and the active strategies (such as the use of pulsation modulating device or plasma actuator) for film cooling enhancement are surveyed, with the aim at presenting an updated overview about the state of the art in advanced film cooling. In addition, some challenging issues are also outlined to motivate further investigations in such a broad topic.     

Advanced optimization of gas turbine aero-engine transient performance using linkage-learning genetic algorithm: Part I,building blocks detection and optimization in runway

This paper proposes a Linkage Learning Genetic Algorithm (LLGA) based on the messy Genetic Algorithm (mGA) to optimize the Min-Max fuel controller performance in Gas Turbine Engine (GTE). For this purpose, a GTE fuel controller Simulink model based on the Min-Max selection strategy is firstly built. Then, the objective function that considers both performance indices (response time and fuel consumption) and penalty items (fluctuation, tracking error, overspeed and acceleration/deceleration) is established to quantify the controller performance. Next, the task to optimize the fuel controller is converted to find the optimization gains combination that could minimize the objective function while satisfying constraints and limitations. In order to reduce the optimization time and to avoid trapping in the local optimums, two kinds of building block detection methods including lower fitness value method and bigger fitness value change method are proposed to determine the most important bits which have more contribution on fitness value of the chromosomes. Then the procedures to apply LLGA in controller gains tuning are specified stepwise and the optimization results in runway condition are depicted subsequently. Finally, the comparison is made between the LLGA and the simple GA in GTE controller optimization to confirm the effectiveness of the proposed approach. The results show that the LLGA method can get better solution than simple GA within the same iterations or optimization time. The extension applications of the LLGA method in other flight conditions and the complete flight mission simulation will be carried out in part II.     

Active vibration control of piezoelectric bonded smart structures using PID algorithm

Thin-walled structures are sensitive to vibrate under even very small disturbances. In order to design a suitable controller for vibration suppression of thin-walled smart structures, an electro-mechanically coupled finite element(FE) model of smart structures is developed based on first-order shear deformation(FOSD) hypothesis. Considering the vibrations generated by various disturbances, which include free and forced vibrations, a PID control is implemented to damp both the free and forced vibrations. Additionally, an LQR optimal control is applied for comparison.The implemented control strategies are validated by a piezoelectric layered smart plate under various excitations.     

一种快速自适应角度-多普勒补偿算法

自适应角度-多普勒补偿(Adaptive Angle Doppler Compensation,A2DC)算法可在惯导参数未知的情况下解决非正侧视阵列中由杂波距离相关性引起的非均匀问题,但该算法运算量大、工程实现困难.本文首先对A2 DC算法的基本工作原理进行了深入的分析,在此基础上,针对算法运算量大的缺点,将分块处理...     

空间机器人主从遥操作的自抗扰控制

目前基于模型的控制方法是空间机器人遥操作控制的主流方法,但该方法不可避免地会引入运动的累积误差,甚至造成控制失稳。针对这一问题,基于自抗扰控制方法为空间机器人主从遥操作设计了一类单关节控制器,并采用计算机仿真方法研究了其基本性能,结果表明所设计的自抗扰控制器能够实现稳定的遥操作控制,且具有良好的抗扰性和鲁棒性。特别是由于自抗扰控制方法不依赖于机器人的数学模型,因此十分适合作为现行基于模型控制的有益补充。