虚拟多触角探测的高超声速滑翔飞行器再入机动制导

针对高超声速滑翔飞行器再入过程中面对的多约束问题，提出一种基于虚拟多触角探测的路航点规划机动制导策略。该机动制导策略通过飞行器最大转弯轨迹计算速度-剩余地面距离-航向角约束，在分段定点模式中发出多条粗略预测触角，引用触角末端反馈的信息计算优先级以确定临时路航点；同时在机动制导模式中发出精细探测触角，计算触角末端信息优先级，经倾侧角延时滤波器得出控制指令，对飞行器进行机动制导。基于多触角探测的路航点规划机动制导策略，降低了三触角机动制导方法中的计算时间；同时，4种典型禁飞区条件下的仿真结果表明，该策略能够有效稳定地解决机动制导过程中的多约束问题。     

Multi-mode diagnosis of a gas turbine engine using an adaptive neuro-fuzzy system

Gas Turbine Engines (GTEs) are vastly used for generation of mechanical power in a wide range of applications from airplane propulsion systems to stationary power plants. The gas-path components of a GTE are exposed to harsh operating and ambient conditions, leading to several degradation mechanisms. Because GTE components are mostly inaccessible for direct measurements and their degradation levels must be inferred from the measurements of accessible parameters, it is a challenge to acquire reliable information on the degradation conditions of the parts in different fault modes. In this work, a data-driven fault detection and degradation estimation scheme is developed for GTE diagnostics based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). To verify the performance and accuracy of the developed diagnostic framework on GTE data, an ensemble of measurable gas path parameters has been generated by a high-fidelity GTE model under (a) diverse ambient conditions and control settings, (b) every possible combination of degradation symptoms, and (c) a broad range of signal to noise ratios. The results prove the competency of the developed framework in fault diagnostics and reveal the sensitivity of diagnostic results to measurement noise for different degradation symptoms.     

双框架飞机蒙皮检测机器人切换运动控制方法

针对一种双框架飞机蒙皮检测机器人,通过分析该机器人在飞机表面上的受力情况,在飞机表面该机器人受到了非完整约束,基于牛顿-欧拉法建立了机器人非完整约束动力学模型。根据机器人机械结构和运动步态分析,将该非完整机器人系统分为子系统A和子系统B。为了实现机器人在飞机表面运动,采用反演技术和快速Terminal滑模控制相结合的思想对系统设计了控制器,提出了一种反演-滑模控制方法;对于非完整机器人子系统A和子系统B,设计了一种基于事件驱动的切换策略,实现了机器人对期望轨迹的全局渐近跟踪,并利用Lyapunov稳定性证明系统的跟踪误差收敛。仿真和试验表明,采用该切换策略和反演-滑模控制方法,双框架飞机蒙皮检测机器人可以在飞机表面自由运动并进行损伤检测,具有良好的可靠性和稳定性。     

Hypervelocity impact induced shock acoustic emission waves for quantitative damage evaluation using in situ miniaturized piezoelectric sensor network

Manmade debris and natural meteoroids, travelling in the Low Earth Orbit at a speed of several kilometers per second, pose a severe safety concern to the spacecraft in service through the HyperVelocity Impact(HVI). To address this issue, an investigation of shock Acoustic Emission(AE) waves induced by HVI to a downscaled two-layer Whipple shielding structure is performed,to realize a quantitative damage evaluation. Firstly a hybrid numerical model integrating smoothparticle hydrodynamics and finite element is built to obtain the wave response. The projectiles, with various impact velocities and directions, are modelled to impact the shielding structure with different thicknesses. Then experimental validation is carried out with built-in miniaturized piezoelectric sensors to in situ sense the HVI-induced AE waves. A quantitative agreement is obtained between numerical and experimental results, demonstrating the correctness of the hybrid model and facilitating the explanation of obtained AE signals in experiment. Based on the understanding of HVI-induced wave components, assessment of the damage severity, i.e., whether the outer shielding layer is perforated or not, is performed using the energy ratio between the regions of ‘‘high frequency" and ‘‘low frequency" in the acquired AE signals. Lastly, the direct-arrival fundamentalsymmetric wave mode is isolated from each sensing signal to be input into an enhanced delay-andsum algorithm, which visualizes HVI spots accurately and instantaneously with different sensor network configuration. All these works demonstrate the potential of quantitative, in situ, and real time HVI monitoring using miniaturized piezoelectric sensor network.     

Hybrid integration method for highly maneuvering radar target detection based on a Markov motion model

To detect highly maneuvering radar targets in low signal-to-noise ratio conditions, a hybrid long-time integration method is proposed, which combines Radon-Fourier Transform (RFT), Dynamic Programming (DP), and Binary Integration (BI), named RFT-DP-BI. A Markov model with unified range-velocity quantification is formulated to describe the maneuvering target’s motion. Based on this model, long-time hybrid integration is performed. Firstly, the whole integration time is divided into multiple time segments and coherent integration is performed in each segment via RFT. Secondly, non-coherent integration is performed in all segments via DP. Thirdly, 2/4 binary integration is performed to further improve the detection performance. Finally, the detection results are exported together with target range and velocity trajectories. The proposed method can perform the long-time integration of highly maneuvering targets with arbitrary forms of motion. Additionally, it has a low computational cost that is linear to the integration time. Both simulated and real radar data demonstrate that it offers good detection and estimation performances.     

液体火箭发动机健康监控技术研究现状

液体火箭发动机健康监控技术是改进和提高运载火箭、航天器可靠性与安全性的核心技术之一,对其进行研究具有重要的学术价值和工程应用价值。液体火箭发动机健康监控技术的研究主要包括液体火箭发动机故障检测与诊断理论方法、液体火箭发动机健康监控系统两方面。该文介绍了基于模型驱动的方法、基于数据驱动的方法和基于人工智能的方法,阐明了液体火箭发动机故障检测与诊断理论方法的研究现状,通过对美国液体火箭发动机典型健康监控系统的介绍,阐明了液体火箭发动机健康监控系统研究的若干进展及现状,并对液体火箭推进系统健康监控技术的演变趋势作了简要评述。     

基于CCFHTLS算法的异步电动机转子故障检测

定子电流经低通滤波器处理后产生高斯有色噪声,限制了异步电机转子故障检测算法的辨识精度。针对该问题,提出一种抑制高斯有色噪声的异步电机故障检测技术。首先对采集到的定子电流进行预处理,利用逆同步旋转变换剔除基波,避免了直接检测时基波对故障辨识精度的影响。然后利用互相关函数(CCF)处理技术对高斯有色噪声的抑制作用,提出基于CCFHTLS算法的电机转子故障诊断技术。针对异步电机转子断条和偏心故障的识别进行试验,结果表明CCFHTLS算法可以有效抑制高斯有色噪声,并保留故障有用信息,显著地提高了故障检测的分辨率。     

基于YOLO智能网络的红外弱小多目标检测技术

复杂背景下的红外弱小多目标检测是红外目标检测的难点,现有算法的稳健性难以满足实际弹载应用需求。针对弹载环境下的红外场景图像开展了基于典型深度学习网络模型的目标检测应用研究,提出一种基于YOLO(you only look once)网络的智能目标检测方法,通过高维特征学习表征和推理实现红外弱小多目标检测。采用传统的模板匹配算法和YOLO深度学习算法进行识别性能对比分析,验证了YOLO网络在红外弱小多目标检测方面的良好性能。实验结果表明:YOLO算法的检测概率可达92.2%,平均检测精度为0.844,与传统的模板匹配方法相比,YOLO具有明显的优势。     

分组级短码长LT喷泉码的工程应用

针对LT喷泉码在准单向链路、高差错、链路恶劣易中断的信道环境应用时出现的运算量大、译码时延长、编码效率较低等问题,文章提出使用基于数据分块的分组级短码长喷泉码方案。其思想是将短码长LT码方案和分组级LT码方案结合起来,并且在数据子块的度序列生成过程中加入度值检测机制。实验仿真结果表明:与已提出的LT码方案相比,该方案能够有效地降低译码开销、计算代价和译码时延,提高系统的最大传输效率。     

大气中子诱发复杂航电系统SEE的试验评价与防护设计

研究了国外单粒子效应对航电系统影响的历史进展，介绍了航电系统单粒子效应试验评价中子辐射源、试验硬件、试验方法、试验程序及评估方法5个方面。国际航空标准根据航电系统的重要程度将其定义为A、B、C、D、E五级。为了确保A、B和C级航电系统的可靠性，提出了涉及顶层项目管理至元器件控制各个层面的防护过程，优化系统设计，以适应大...