Nonlinear adaptive flight control system: Performance enhancement and validation

The problem of decreasing stability margins in L₁ adaptive control systems is discussed and an out-of-loop L₁ adaptive control scheme based on Lyapunov’s stability theorem is proposed. This scheme enhances the effectiveness of the adaptation, which ensures that the system has sufficient stability margins to achieve the desired performance under parametric uncertainty, additional delays, and actuator faults. The stability of the developed control system is demonstrated through a series of simulations. Compared with an existing control scheme, the constant adjustment of the stability margins by the proposed adaptive scheme allows their range to be extended by a factor of 4–5, bringing the stability margin close to that of variable gain PD control with adaptively scheduled gains. The engineered practicability of adaptive technology is verified. A series of flight tests verify the practicability of the designed adaptive technology. The results of these tests demonstrate the enhanced performance of the proposed control scheme with nonlinear parameter estimations under insufficient stability margins and validate its robustness in the event of actuator failures.     

基于模拟场景的接收机授时接口测试方法

介绍了接收机授时接口的工作原理，提出了一种基于模拟工作场景的接收机授时接口新型测试方法，通过设计程控IRIG-B时间码发生器模拟产生异常时码，测试了接收机授时接口的容错性，并以长期授时测试场景用例检验了接收机授时接口工作稳定性，解决了实验室条件下接收机数据时间戳乱序、长期工作中时间戳跳变以及接收机授时信号异常控制等授时接口测试的难题。     

复合材料气瓶热防护材料隔热性能试验研究

以复合材料气瓶热防护材料的耐高温及隔热性能为研究对象，通过真空舱模拟上面级飞行段的真空环境，采用石英灯阵模拟热源，对两种热防护方案开展真空热试验，分析了不同材料（组合）、多层隔热组件不同单元的隔热性能及其差异产生的原因。结果表明两种防热方案都可使气瓶壁面温度满足不超过70 ℃的温度要求，其中“柔性隔热毡+中温多层”组合防热结构的耐温和隔热性能更优，并通过理论计算与试验值对比验证了热仿真计算中的不确定性，试验结果可为后续型号防热设计提供参考。     

DFCluster: An efficient algorithm to mine maximal differential biclusters for single pilot operations task synthesis safety analysis

With the continuous advancement of the avionics system, crew members are correspondingly reduced, and Single Pilot Operations(SPO) has attracted widespread attention from scholars.To meet the flight requirements in SPO mode, it is necessary to further strengthen air-ground coordination system integration, but at the same time, there will be some safety issues caused by resource integration, function fusion, and task synthesis. Aimed at the safety problems caused by task synthesis, an efficient d...     

High dynamic output feedback robust control of cascaded extended state observer

High dynamic tracking performance is a key technical index of hydraulic flight motion simulator(HFMS). However, the strong nonlinearities, various model uncertainties and measurement noise in hydraulic actuation systems limit the high dynamic performance improvement. In this paper, the outer axis frame of a HFMS is taken as a case study and its nonlinear dynamic model with consideration of strong nonlinearities, matched and mismatched uncertainties is established.A novel cascaded extended state ...     

A geographical and operational deep graph convolutional approach for flight delay prediction

Flight delay prediction has attracted great interest in civil aviation community due to its significant role in airline planning, flight scheduling, airport operation, and passenger service. Flight delay is affected by numerous factors and irregularly propagates in air transportation networks owing to flight connectivity, which brings critical challenges to accurate flight delay prediction. In recent years, Graph Convolutional Networks (GCNs) have become popular in flight delay prediction due to the advantage in extracting complicated relationships. However, most of the existing GCN-based methods have failed to effectively capture the spatial–temporal information in flight delay prediction. In this paper, a Geographical and Operational Graph Convolutional Network (GOGCN) is proposed for multi-airport flight delay prediction. The GOGCN is a GCN-based spatial–temporal model that improves node feature representation ability with geographical and operational spatial–temporal interactions in a graph. Specifically, an operational aggregator is designed to extract global operational information based on the graph structure, while a geographical aggregator is developed to capture the similar nature among spatially close airports. Extensive experiments on a real-world dataset demonstrate that the proposed approach outperforms the state-of-the-art methods with a satisfying accuracy improvement.