Comparison of alternative route selection strategies based on simulation optimization

Air traffic flow management (ATFM) is a collaborative process between the airspace provider and the airspace users. The result of the collaboration should be an outcome that maxi-mizes the utility of the system without excessively penalizing any of the agents. This paper develops a discrete-event simulation model which consists of aggregate departure/arrival airports, flight routes, and sectors for evaluating the alternative collaborative route selection strategy. Given the different perspectives from air traffic control center (ACC) and airlines, eight performance-metrics and five alternative route selection strategies represent the past, current and proposed air traffic flow management operations that were evaluated. The Monte Carlo method combined with the Optimal Computing Budget Allocation (OCBA) simulation optimization technique is employed to assess the performance of different strategies. A case study of the upper air routes in central and southern China shows that the proposed model can be readily implemented to simulate different kinds of air traffic flow management strategies and predict the effect of changes on the airspace sys-tem. It also shows that the proposed alternative collaborative route selection strategy is an effective way in alleviating the en-route traffic congestion.     

Detection and mapping vegetation cover based on the Spectral Angle Mapper algorithm using NOAA AVHRR data

Satellite data, taken from the National Oceanic and Atmospheric Administration (NOAA) have been proposed and used for the detection and the cartography of vegetation cover in North Africa. The data used were acquired at the Analysis and Application of Radiation Laboratory (LAAR) from the Advanced Very High Resolution Radiometer (AVHRR) sensor of 1 km spatial resolution. The Spectral Angle Mapper Algorithm (SAM) is used for the classification of many studies using high resolution satellite data. In the present paper, we propose to apply the SAM algorithm to the moderate resolution of the NOAA AVHRR sensor data for classifying the vegetation cover. This study allows also exploiting other classification methods for the low resolution. First, the normalized difference vegetation index (NDVI) is extracted from two channels 1 and 2 of the AVHRR sensor. In order to obtain an initial density representation of vegetal formation distribution, a methodology, based on the combination between the threshold method and the decision tree, is used. This combination is carried out due to the lack of accurate data related to the thresholds that delimit each class. In a second time, and based on spectral behavior, a vegetation cover map is developed using SAM algorithm. Finally, with the use of low resolution satellite images (NOAA AVHRR) and with only two channels, it is possible to identify the most dominant species in North Africa such as: forests of the Liege oaks, other forests, cereal’s cultivation, steppes and bar soil.     

Modeling and control of a novel electro-hydrostatic actuator with adaptive pump displacement

The variable pump displacement and variable motor speed electro-hydrostatic actuator (EHA), one of the three types of EHAs, has advantages such as short response time, flexible speed regulation, and high efficiency. However, the nonlinearity of its double-input single-output system poses a great challenge for system control. This study proposes a novel EHA with adaptive pump displacement and variable motor speed (EHA-APVM). A closed-loop position is realized using a servomotor. Moreover, the displacement varies with the system pressure; thus, the EHA-APVM is a single-input and single-output system. Firstly, the working principles of the EHA-APVM and the pump used in the system are introduced. Secondly, a nonlinear mathematical model of the proposed EHA-APVM control system is established, and a feedback back-stepping (FBBS) control algorithm is introduced to transform the complex nonlinear system into a linear system on the basis of the back-stepping control theory. Finally, simulation results prove that the EHA-APVM has a quick response and high robustness to variations of the load and the pump displacement. In this work, the size and weight of the motor are significantly reduced because the maximum power requirement is reduced, which is very beneficial for using the actuator in airborne equipment.     

Multi-Criteria Decision Analysis integrated with GIS and remote sensing for astronomical observatory site selection in Antalya province,Turkey

Astronomical observatory site selection is a complex problem that involves evaluation of multiple factors from different sources. The aim of this study is to select the best possible candidates for astronomical observations sites using Multi-Criteria Decision Analysis integrated with Geographical Information Systems and remote sensing technologies. The study was implemented in the Antalya province of Turkey, which is convenient for astronomical site observatory facilities with its appropriate climate properties and weather conditions. Eleven factors (cloud cover, precipitable water, earthquake zones, geology, landslide inventory, active fault lines, Digital Elevation Model, city lights, mining activities, settlement areas, roads) were determined, splitting into three categories; meteorological, geographical and anthropogenic criteria. These factors were evaluated using Analytical Hierarchy Process method and the weights of criteria layers were determined. As a result, the most suitable areas were located extensively in western and eastern part of Antalya. This study offers a robust, accurate, cost and time effective procedure for preliminary site selection for astronomical observatory. However, for a final decision of the best location of astronomical observatory, site testing measurements and atmospheric seeing observations will be further required in these preliminary areas.     

基于反馈线性化的高速无人机自适应控制系统设计

高速无人机是典型的复杂非线性、参数不确定性系统,且各控制通道之间存在强耦合作用,这对飞行控制系统设计提出了严峻挑战。针对其非线性特性和耦合特性,采用精确反馈线性化理论将无人机动力学模型解耦为3个独立的子系统,即滚转、俯仰和偏航通道;应用模型参考自适应控制方法分别设计每个通道的姿态控制器。研究表明,上述线性化方法能够实现三通道解耦,所设计控制系统满足飞行控制性能要求,且对气动参数摄动和外部干扰具有较强的鲁棒性。     

软件锁相环的设计与应用

根据虚拟无线电技术的特点和锁相环的基本原理,提出一种适于计算机软件化实现的锁相环数学模型,分析不同参数对锁相环捕获和跟踪性能的影响,得出不同情况下参数设定的基本准则。计算机仿真结果表明,软件锁相环在加性高斯白噪声信道下具有较好的捕获与跟踪性能。最后提出软件锁相环在测控系统中实现信号实时处理的优化方法。     

受扰挠性卫星角动量反馈控制

将动量轮角的动量测量信息引入反馈控制系统,给出角动量反馈控制器的具体形式,证明了挠性卫星闭环系统稳定性,并分析控制系统对周期性干扰的抑制特性以及系统稳态精度,最后给出数学仿真结果.     

一种数字接收机中DLL的设计

延迟锁定环(DLL)是扩频接收机中实现PN码捕获和跟踪的一个重要部分,文中讨论延迟锁定环的数字化实现。介绍延迟锁定环的经典结构、数控振荡器、伪码发生器、鉴别器、环路滤波器四个模块的工作原理以及在可编程器件中的设计和环路滤波器的参数设计,最后给出实验结果。     

一种宽带高速跳频载波频综结构的设计

将DDS（直接数字合成）与PLL（锁相环）频率合成技术相结合,采用多环并列流水线结构,设计出混合扩/跳频系统的载波频率综合单元。利用DDS技术可实现频率分辨率高、转换时间快等要求,利用PLL技术可实现杂散抑制性能高、扩展宽带等要求,并采用多环并列硬件结构保证了系统的跳变速度和宽频带指标。经闭环测试平台的测试,系统达到350～1800MHz带宽可变,频率跳变速度10 000跳/s可变,杂散抑制优于-80dBc。文章首先给出详细的硬件设计方案及其实现,同时理论分析了个各项指标的优化,最后给出闭环测试平台的搭建以及最终测试结果。     

转子动力学优化设计

优化设计可以使转子支承系统具有先天优良的转子动力学特性, 优化支承的刚度与阻尼系数是使转子支承系统获得优良动力学特性的有效途径。本文采用传递矩阵-拟模态综合法分析转子支承系统的动力特性-临界转速、不平衡响应以及对支承动力参数灵敏度分析, 进而对支承动力参数作优化设计。本文所提出的方法已经过算例、模型试验及工程应用的证实。