舰载机智能复飞决策技术研究

为了进一步改进复飞技术,针对复飞环境,提出了一种在原军用推力操纵的基础上,加入具有保持迎角恒定的升降舵模糊控制的复飞系统,从而有效地增强了低动压状态下飞机的机动能力。给出了复飞决策准则,设计了基于模糊控制的复飞决策系统,并对具有该复飞决策系统的舰载机自动着舰导引系统进行了仿真验证。结果表明,该复飞决策系统明显地缩小了复飞边界区,大大提高了着舰和复飞的安全性,可实现自动复飞,减轻了飞行员的负担。     

基于Semi-Markov模型的多态系统不完全维修决策

为提高复杂多态系统的任务完成能力,降低维修资源消耗,提出了基于Semi-Markov模型的预防性维修和修复性维修相结合的多态系统不完全维修决策方法。采用Semi-Markov模型描述部件的性能衰退过程,利用通用生成函数方法对系统的可靠性指标进行分析,在不完全维修模型基础上,从"系统级维修的角度"出发,提出了预防性维修和修复性维修相结合的不完全维修决策方法,确保系统在有限的服役期内,获得最大净效益。并以某航空发动机压气机子系统的维修决策为例进行分析,该方法可以有效的结合预防性维修和修复性维修的优势,提高了系统的任务完成能力,具有很强的通用性和工程应用价值。     

指数分布基于多重定数截尾样本中异常数据的检验

讨论多重定数截尾指数型寿命数据,对同时存在异常大数据和异常小数据的情形给出了检验方法,得到了检验异常数据的判别标准,最后以一实例说明其应用.     

Decision-making of Aircraft Optimum Configuration Utilizing Multidimensional Game Theory

As multi-discipline coupling and components interference often affect the aircraft configuration decision-making and analysis during conceptual design process, this article presents an approach of multidimensional game theory based on aircraft components to deal with this problem. The idea is that the configuration decision-making process is regarded as the game for different disciplines and technologies, and the aircraft components are players. The payoff function with highest total gain means that according to the game protocols and multidimensional theory, the optimal aircraft configuration within the strategy set will be chosen. The decision-making model is applied to conceptual design process of the high altitude long endurance (HALE) unmanned aerial vehicle (UAV) based on the assessment of technological risk. The obtained optimum configuration is quite consistent with the current HALE UAV development trends. Thus, taking into account the coupling and interference factors, the multidimensional gaming model based on aircraft components will be an effective analysis method in the decision-making process of aircraft optimum configuration.     

Reconfigurable Flight Control Design for Combat Flying Wing with Multiple Control Surfaces

With control using redundant multiple control surface arrangement and large-deflection drag rudders,a combat flying wing has a higher probability for control surface failures.Therefore,its flight control system must be able to reconfigure after such failures.Considering three types of typical control surface failures(lock-in-place(LIP),loss-of-effectiveness(LOE) and float),flight control reconfiguration characteristic and capability of such aircraft types are analyzed.Because of the control surface redundancy,the aircraft using the dynamic inversion flight control law already has a control allocation block.In this paper,its flight control configuration during the above failures is achieved by modifying this block.It is shown that such a reconfigurable flight control design is valid,through numerical simulations of flight attitude control task.Results indicate that,in the circumstances of control surface failures with limited degree and the degradation of the flying quality level,a combat flying wing adopting this flight control reconfiguration approach based on control allocation could guarantee its flight safety and perform some flight combat missions.     

面向空中目标威胁评估的多传感器管理方法

为了降低在空中目标威胁评估任务中由于威胁评估结果的不准确性和传感器辐射所带来的潜在损失，提出了一种基于风险的多传感器管理方法。首先，基于部分可观马尔可夫决策过程建立了传感器管理模型；然后，给出了基于信息状态的威胁评估风险和传感器辐射风险的预测方法以量化潜在损失；接着，为获得更优的作战收益，以多步风险预测值为决策依据，以两种风险的加权和最小为优化目标建立了长期目标函数；最后，在求解目标函数时，将传感器管理问题转化为决策树搜索，设计了一种基于分支定界的标准代价搜索算法以快速获得高质量的管理方案。仿真实验表明，所提算法能够在搜索到高质量解的同时大幅减少计算时间和内存消耗；所提方法能够对风险进行准确预测，且相比于经典的传感器管理方法，所提方法具有更好的风险控制效果。     

基于决策支持系统的高校人事管理信息化建设

人事管理信息化程度影响着高校人事工作效率和人事决策的实施,以决策支持系统的视角来研究高校人事管理信息化,对进一步加快人事管理的现代化进程、促进人事管理信息系统的建设,最终实现高等学校人事管理的全面信息化具有重要的理论和现实意义.     

Reliable flight performance assessment of multirotor based on interacting multiple model particle filter and health degree

Multirotor has been applied to many military and civilian mission scenarios. From the perspective of reliability, it is difficult to ensure that multirotors do not generate hardware and software failures or performance anomalies during the flight process. These failures and anomalies may result in mission interruptions, crashes, and even threats to the lives and property of human beings. Thus, the study of flight reliability problems of multirotors is conductive to the development of the drone industry and has theoretical significance and engineering value. This paper proposes a reliable flight performance assessment method of multirotors based on an Interacting Multiple Model Particle Filter (IMMPF) algorithm and health degree as the performance indicator. First, the multirotor is modeled by the Stochastic Hybrid System (SHS) model, and the problem of reliable flight performance assessment is formulated. In order to solve the problem, the IMMPF algorithm is presented to estimate the real-time probability distribution of hybrid state of the established SHS-based multirotor model, since it can decrease estimation errors compared with the standard interacting multiple model algorithm based on extended Kalman filter. Then, the reliable flight performance is assessed with health degree based on the estimation result. Finally, a case study of a multirotor suffering from sensor anomalies is presented to validate the effectiveness of the proposed method.     

在PN码捕获中门限判决对TMA性能影响的分析

文章比较了在单径加性高斯白噪声(AWGN)无衰落信道环境下,利用匹配滤波器(MF)捕获方法,对不同的门限比较判决准则对系统平均捕获时间(TMA)性能的影响进行了分析;同时给出了不同门限值时系统的平均捕获时间的仿真结果,并对结果进行讨论,得出各种门限设置准则的应用环境,为捕获系统的设计与实现提供参考.     

军用装备大规模可编程逻辑器件设计计价方法

大规模逻辑编程器件已在军用装备中得到了广泛应用,但目前为止国家还没有相关文件和标准明确其价格评估.长此以往对军用装备的质量必将产生一些不利影响.同时,缺乏科学成本预测工具和价格审核手段的现状,对装备经费资源也会造成很大浪费.根据实际工作经验,分析了影响大规模逻辑编程器件设计价格的主要因素和注意事项,提出了一套大规模逻辑编程的新评估计价方法.