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.     

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.     

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.     

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...     

消光漆在光学系统的国内外应用

简单地列举了国内外一些消光漆的应用情况,阐述了消光漆的消光性能指标的测定方法,同时对

国内外的一些消光漆的消光性能进行了比较。

     

基于某型发动机发展 STOVL 动力性能方案研究

短距起飞/垂直降落（STOVL）飞机由于其优越的作战性能,受到了世界航空大国的高度重视。通过借鉴目前最先进的 STOVL 动力 F135- PW -600发动机技术发展思路,研究了基于国内某型发动机改 STOVL 动力方案时,主发动机与升力风扇之间的匹配和约束关系。研究结果表明：随着升力风扇压比和流量的增加,主发动机升力减小,升力风扇升力增加;同一主发动机状态下,升力风扇流量越大,发动机前后升力平衡的升力风扇压比越小,总升力越大;主发动机性能越高,发动机前后升力平衡的升力风扇压比和流量越大,发动机总升力也越大。     

Lateral Flight Technical Error Estimation Model for Performance Based Navigation

Flight technical error (FTE) combined with navigation system error (NSE) is the main part of total system error (TSE) in performance based navigation (PBN).The implementation of PBN requires pre-flight prediction and en-route short-term dynamical prediction of the TSE.Once the sum of predicted lateral FTE and NSE is greater than the specified PBN value,the PBN cannot operate.Thus,accurate modeling and thorough analysis of lateral FTE are indispensible.Multiple-input multiple-output (MIMO) lateral track control system of a transport aircraft is designed using linear quadratic Gaussian and loop transfer recovery (LQG/LTR) method,and the lateral FTE of a turbulence disturbed approach operation is analyzed.The error estimation mapping function of latera FTE and its bound estimation algorithm are proposed based on singular value theory.According to the forming mechanism of lateral FTE,the algorithm considers environmental turbulence fluctuation disturbance,aircraft dynamics and control system parameters.Real-data-based Monte-Carlo simulation validates the theoretical analysis of FTE.It also shows that FTE is mainly caused by turbulence fluctuation disturbance when automatic flight control system (AFCS) is engaged and would increase with escalating environmental turbulence intensity.     

民用运输类飞机最大可用速率抬前轮试飞技术研究

最大可用速率抬前轮试飞是验证抬前轮速度与起飞安全速度的重要依据,也是难度较大、风险较高的试验项目。以起飞动力学分析为基点,得出最大可用速率抬前轮试飞可能达到的最大迎角,并结合相应的适航审定条款,分析了影响该科目试飞的主要因素,给出了最大可用速率抬前轮试飞技术分析和数据处理方法。     

基于分布式管理架构的应用型网管系统的设计与研究

根据当前IT应用的普及情况,分析了大中型企业中网络资源管理存在的问题,研究了网管软件的相关技术并设计了一套符合当前应用需求的分布式管理架构的应用型网管系统。该系统不但可监测各类操作系统的性能,还可对数据库、WEB服务等应用服务器的性能进行监控。结合网管软件的发展动态,展示了该应用型网管系统的工程应用价值。     

An artificial neural network approach for aerodynamic performance retention in airframe noise reduction design of a 3D swept wing model

With the progress of high-bypass turbofan and the innovation of silencing nacelle in engine noise reduction, airframe noise has now become another important sound source besides the engine noise. Thus, reducing airframe noise makes a great contribution to the overall noise reduction of a civil aircraft. However, reducing airframe noise often leads to aerodynamic perfor-mance loss in the meantime. In this case, an approach based on artificial neural network is intro-duced. An established database serves as a basis and the training sample of a back propagation (BP) artificial neural network, which uses confidence coefficient reasoning method for optimization later on. Then the most satisfactory configuration is selected for validating computations through the trained BP network. On the basis of the artificial neural network approach, an optimization pro-cess of slat cove filler (SCF) for high lift devices (HLD) on the Trap Wing is presented. Aerody-namic performance of both the baseline and optimized configurations is investigated through unsteady detached eddy simulations (DES), and a hybrid method, which combines unsteady DES method with acoustic analogy theory, is employed to validate the noise reduction effect. The numerical results indicate not merely a significant airframe noise reduction effect but also excel-lent aerodynamic performance retention simultaneously.