非定常气动力对飞行动力学特性影响分析

在模糊逻辑非定常气动力建模的基础上,研究了非定常气动力对飞行动力学特性的影响.首先分析了非定常气动模型与定常气动模型的差别.其次采用分支分析方法,对带定常与非定常气动模型的飞行动力学系统的陡尾旋状态平衡分支图进行计算、比较与分析.并通过仿真对结果进行验证.研究表明,在大迎角状态下,非定常气动模型与定常气动模型存在较大的差别,对飞行动力学特性将产生一定的影响,需要在大迎角控制律设计中考虑非定常气动力的影响.     

密码协议的分层安全需求及验证

将密码协议的安全需求分为浅层需求和深层需求2个层面,阐述了密码协议的分层安全需求.采用近世代数和时序逻辑的方法定义了形式化描述语言,并形式化地描述了密码协议的分层安全需求.将类BAN逻辑与模型检查相结合,在Abadi-Tuttle模型的基础上建立密码协议的计算模型.以Otway-Rees协议为例,利用该计算模型和定理证明技术对密码协议进行了多层需求验证.     

Review of hybrid electric powered aircraft,its conceptual design and energy management methodologies

The paper overviews the state-of-art of aircraft powered by hybrid electric propulsion systems. The research status of the design and energy management of hybrid aircraft and hybrid propulsion systems are further reviewed. The first contribution of the review is to demonstrate that, in the context of relatively underdeveloped electrical storage technologies, the study of mid-scale hybrid aircraft can contribute the most to both theoretical and practical knowledge. Meanwhile, the profits and potential drawbacks of applying hybrid propulsion to mid-scale hybrid airplanes have not been thoroughly illustrated. Secondly, as summed in the overview of design methodologies, the multi-objective optimization transcends the single-objective one. The potential of the hybrid propulsion system can be thoroughly evaluated in only one optimization run, if several objectives optimized simultaneously. Yet there are few researches covering the conceptual design of hybrid aircraft using multi-objective optimization. The review of the most popular energy management strategies discloses the third research gap—current methodologies favoured in hybrid ground vehicles do not consider the aircraft safety. Additionally, both non-causal and causal energy management are needed for performing a complicated flight mission with several sub-tasks.     

A combined technique of Kalman filter,artificial neural network and fuzzy logic for gas turbines and signal fault isolation

The target of this paper is the performance-based diagnostics of a gas turbine for the automated early detection of components malfunctions. The paper proposes a new combination of multiple methodologies for the performance-based diagnostics of single and multiple failures on a two-spool engine. The aim of this technique is to combine the strength of each methodology and provide a high success rate for single and multiple failures with the presence of measurement malfunctions. A combination of KF (Kalman Filter), ANN (Artificial Neural Network) and FL (Fuzzy Logic) is used in this research in order to improve the success rate, to increase the flexibility and the number of failures detected and to combine the strength of multiple methods to have a more robust solution. The Kalman filter has in his strength the measurement noise treatment, the artificial neural network the simulation and prediction of reference and deteriorated performance profile and the fuzzy logic the categorization flexibility, which is used to quantify and classify the failures. In the area of GT (Gas Turbine) diagnostics, the multiple failures in combination with measurement issues and the utilization of multiple methods for a 2-spool industrial gas turbine engine has not been investigated extensively.This paper reports the key contribution of each component of the methodology and brief the results in the quantification and classification success rate. The methodology is tested for constant deterioration and increasing noise and for random deterioration. For the random deterioration and nominal noise of 0.4%, in particular, the quantification success rate is above 92.0%, while the classification success rate is above 95.1%. Moreover, the speed of the data processing (1.7 s/sample) proves the suitability of this methodology for online diagnostics.     

航姿系统内阻尼的模糊自适应滤波算法

平台式惯性航姿系统的内阻尼算法通过阻尼网络将自身的速度信息加到系统中,达到提高姿态精度的目的.本文将该思想引入到捷联式惯性航姿系统中,在系统加速度较小时,利用加速度计的输出估计系统姿态角,通过卡尔曼滤波的形式补偿姿态误差.由于内阻尼算法只有在系统加速度较小的情况下才能使用,本文设计了模糊自适应控制器,根据三轴加速度计的输出进行自适应判断内阻尼算法是否可用,调整内阻尼卡尔曼滤波器的量测误差方差阵,从而避免了滤波器的发散.仿真和实验表明,内阻尼的模糊自适应算法可明显抑制舒勒周期振荡和傅科周期振荡,避免了系统姿态漂移,有效提高了捷联惯性航姿系统的精度.     

非单调推理的研究与发展

分析了非单调推理产生的原因以及非单调推理与传统逻辑间的关系，讨论了其典型的两种研究方法及存在的问题，最后指出了非单调推理的发展前景。     

硬件演化理论与应用技术研究

演化硬件具有广阔的应用前景和重大的实用价值,演化硬件通过演化算法可实现自身重构,使系统具有自适应、自组织、自修复的特性。介绍了演化硬件的概念、分类、发展历史及研究现状,讨论了演化硬件的实现思路、存在的难点及其发展趋势。     

一种基于FPGA的简易逻辑分析仪

基于FPGA的逻辑分析仪是以可编程逻辑器件ACEX1K30TC144-3为控制核心，由输入电平调理模块、数据采集模块、数据处理模块、数据存储模块、信号输出模块等组成。数据采集模块、数据处理模块和数据存储模块全部由可编程逻辑器件内部实现，其中数据存储模块有效地利用了FPGA内部的RAMIP核，提高了系统的工作速度及可靠性。系统的采样速率最高可达1MHz，存储深度为1k。系统的硬件电路精炼，稳定性好。逻辑分析仪输出到示波器上同时显示被测的8路信号，十分清晰、稳定。     

基于CPLD的角速度波动率测量

以CPLD为核心的高速高精度的频率测量，不同于常用的测频法和测周期法。本文介绍的测频方法，不仅消除了常规测频法带来的误差，而且具有高集成度、高速、高可靠性的特点。