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.     

论中小企业信用评价及其融资

本文通过对中小企业信用评价的分析研究，以破解其融资难问题，有利于促进中小企业健康的发展。     

New design simulation for a high-altitude dual-balloon system to extend lifetime and improve floating performance

This paper presents a comprehensive simulation for a high-altitude dual-balloon system which consists of zero- and super-pressure balloons. Preliminary calculations were established to describe the basic concept of the new integrated system. A mathematical model was investigated to simulate the ascending and floating processes which considered the atmospheric conditions and thermodynamic variations. Based on the simulation, results showed that the floating altitude stability between daytime and nighttime was improved. This integrated system supports higher floating altitude levels than those of ordinary balloons and extends the lifetime of floating balloon systems. Moreover, results demonstrated that the integrated system was lighter than ordinary balloons, saving useful weight for effective payload. Furthermore, exploiting the advantages of both kinds of balloons while avoiding the difficulties was a significant goal in the current design to promote the floating performance of high-altitude balloons technology.     

高转速风扇叶片外物撞击损伤的定量评价方法

外物撞击是造成航空发动机风扇叶片变形、损伤甚至断裂的主要因素。针对外物撞击持续时间短、瞬间载荷大、损伤影 响因素多，难以进行定量损伤评价的问题，提出基于叶片损伤参数α的叶片损伤定量评价方法。以发动机风扇叶片受冰撞为例， 采用非接触叶尖计时测量方法，对叶片撞击产生的叶尖位移进行监测分析，验证了该方法的可行性。采用瞬态动力学分析方法对 叶片经受撞击过程进行全流程仿真模拟，并采用正交试验法定量研究了外物撞击过程中的撞击速度、叶片转速、撞击位置3种因 素对叶片损伤参数α的影响，拟合回归方程并绘制了这3种因素的3D响应曲面图，得到各因素的影响权重。结果表明：冰块速度 与撞击位置同时下降时，叶片损伤弱化效果显著。该方法可为大型风扇叶片抗外物打击性能设计和在役健康监测提供理论支撑。     

低量值直流电流表检定及测量不确定度评定

详细地叙述了利用XF1b型交、直流精密电表校验装置采用直流补偿法检定低量值直流电流表示值误差时所存在的问题，并提出一种改进线路。同时，按照JJF1059—1999《测量不确定度评定与表示》规范的要求对上述方法中所阐述的低量值直流电流表示值误差测量结果的不确定度进行了评定。     

系级教学档案管理模式研究

系级教学档案有自身的特殊性，并且形式多种多样。通过对系级教学档案的类型分析，坚持科学的系级教学档案整理工作的原则，才能高效完成系级教学档案的管理工作。     

太阳能热推进系统效率分析

太阳能热推进采用小分子量气体作为推进剂可以获取800～900 s高比冲,但提高推进系统的换热效率是目前亟待解决的问题.本研究建立了太阳能热推进系统主要部件的基本分析模型,在利用有限单元法进行热分析的基础上,对系统在多种工况下的相关参数进行了计算,分析了各部件主要参数对提高太阳能热推进系统热效率和推进效率的影响,得出了系统效率在不同工作状态下的变化规律,并提出了提高系统效率的措施.     

ISAR欺骗干扰效果评估方法研究

逆合成孔径雷达（ISAR）能够获取运动目标的一维像和二维像,利用宽带特征识别出真实空间目标.宽带成像欺骗干扰是对抗ISAR雷达目标识别的有效措施.构建了基于目标结构特征的ISAR欺骗干扰效果评估体系,提出了相应的干扰效果评估准则,研究了ISAR欺骗干扰效果评估方法.利用仿真评估软件进行仿真分析,验证了评估方法的合理性.     

温度对油—气式起落架缓冲性能的影响研究

油—气式缓冲器内部的油液特性及充气压力会随环境温度而变化,进而影响起落架的缓冲性能。为了探究温度对油—气式起落架缓冲性能的影响,在起落架落震试验的基础上,提出一种缓冲器环境温度模拟方法,并分析油—气式起落架缓冲器在20~80℃环境温度下的缓冲性能。结果表明：在所研究的温度范围内,缓冲器初始充气压力对温度变化敏感,随着温...     

基于模糊机会约束规划的机会阵雷达方向图综合

针对机会阵雷达方向图综合的不确定问题,提出了一种基于模糊机会约束规划的方向图综合规划模型。该模型基于可信性理论,综合考虑天线单元分布的随机性以及激励状态的不确定性,将参与方向图综合时激励打开的天线数目看做一个梯形模糊变量,用以描述综合时的复杂不确定环境。随后,将规划模型转化为清晰等价形式,再结合遗传算法和灰关联综合评价法则设计了一种混合智能优化算法,用于求解该模型。以一维任意非均匀线阵为例,对主瓣宽度和最大副瓣电平进行了优化。仿真表明:优化后结果的可信性高于置信水平,验证了该算法的有效性。