受限航路空域自主航迹规划与冲突管理技术

为了解决在基于航迹运行的空中交通管理自动化系统中人机意识同步的问题，以航路运行为对象，开展了面向受限空域的自主四维航迹（4DT）冲突探测与解脱（CD&R）技术研究。基于自由航线空域（FRA）环境，提出基于栅格的空域离散化处理与计算方法；在此基础上，提出受限空域自主航迹运行两阶段方法：阶段1运用可视图（VG）法和Dijkstra算法，实现了满足限制区约束的航空器期望航迹快速规划；阶段2提出航迹可达时空域模型及其图形化表达方法，并基于连续飞行动力学推导出了不同情况下的航空器位置更新模型，并采用局部冲突探测与解脱方法，以飞行距离最短为目标，实现航空器自主路径与速度联动规划，从而支撑空地、人机认知同步的无冲突四维航迹生成；最后，以中国西部典型空域为运行场景开展仿真实验，验证了所提方法的计算高效性和模型有效性，并对栅格尺寸和探测距离这2个关键参数进行了灵敏度分析。结果表明，所提方法能够支撑复杂空域高密度运行环境自主航迹运行，为推动自主空中交通系统发展提供了新思路和新方法。     

基于交互式多模型滤波算法的航迹预测

航空器航迹预测是空中交通冲突探测与解脱,以及进离场管理等空中交通管制自动化系统的重要组成部分。基于混杂系统理论,描述航空器在水平面的运动模型,并针对航空器运动的多样性和不确定性提出了利用交互式多模型的航空器航迹预测算法。将算法应用于航空器的航迹预测,并与单一模型的卡尔曼滤波、α-β滤波和α-β-γ滤波的仿真预测结果对比,结果表明算法的有效性。     

Flight safety measurements of UAVs in congested airspace

Describing spatial safety status is crucial for high-density air traffic involving multiple unmanned aerial vehicles (UAVs) in a complex environment. A probabilistic approach is proposed to measure safety situation in congested airspace. The occupancy distribution of the airspace is represented with conflict probability between spatial positions and UAV. The concept of a safety envelope related to flight performance and response time is presented first instead of the conventional fixed-size protected zones around aircraft. Consequently, the conflict probability is performance-dependent, and effects of various UAVs on safety can be distinguished. The uncer-tainty of a UAV future position is explicitly accounted for as Brownian motion. An analytic approximate algorithm for the conflict probability is developed to decrease the computational consumption. The relationship between safety and flight performance are discussed for different response times and prediction intervals. To illustrate the applications of the approach, an experi-ment of three UAVs in formation flight is performed. In addition, an example of trajectory planning is simulated for one UAV flying over airspace where five UAVs exist. The validation of the approach shows its potential in guaranteeing flight safety in highly dynamic environment.     

基于模糊推理的舰载机进舰过程安全性仿真分析

 舰载机进舰过程复杂,驾驶员对舰载机的控制是影响进舰安全的重要因素,驾驶员操作的偏差受到人员自身状态、环境状态以及设备(舰载机)状态的综合影响。以国外某型舰载机为例,提出了基于模糊推理的舰载机进舰过程安全性建模与仿真方法。考虑舰载机进舰过程中驾驶员控制的不确定性,分析了引起驾驶员不确定性的人-机-环因素,基于模糊推理建立不确定因素引起的驾驶员控制偏差模型,并在此基础上建立了舰载机进舰过程安全性仿真模型。通过仿真分析明确危险模式、危险程度以及危险发生的时刻点等关键因素的影响程度,为进一步保证舰载机进舰安全提供基础。     

基于高空风修正的四维航迹优化算法

航迹预测是基于航空器航迹运行的核心技术,也是空中交通流量管理的基础技术。结合航空器飞行速度数据与航段飞行时间数据,分析高空风对航空器飞行时间的影响。基于GRIB2格式风数据,建立高空风修正模型,提出一种四维航迹优化算法进行航迹预测。利用中南区域实际航班飞行数据进行算例仿真,并与实际雷达飞行数据进行对比。对比结果表明,预测飞行时间总误差分别减少了7%和16.4%,从而验证了模型的有效性与正确性。     

基于数字化的飞机柔性装配技术研究

飞机制造技术的数字化,装配技术的柔性化是飞机研制的发展方向。为提高飞机装配质量,加快飞机研发周期,降低飞机生产成本,并结合飞机装配现状,提出了以数字化为基础的飞机柔性装配技术是诸多现有关键技术的集成,论述了柔性装配的数字量协调问题、分离面的划分问题及满足柔性连接、定位和夹紧的标准问题在飞机柔性装配技术推广中的重要性。     

一种航路4D航迹预测的方法

4D航迹预测是空管自动化系统中的一项核心技术,能够提高空域的利用率和安全性。为了在航路上快速准确的预测航空器的飞行轨迹,提出一种预测航路4D航迹的方法。首先利用Supermap制作航路网络,然后根据航空器的性能参数,推测各时间点的航空器位置,从而得到航路上航空器的飞行航迹,并通过实例进行了说明,为航迹预测提供一定参考。     

基于满意博弈论的复杂低空飞行冲突解脱方法

复杂低空空域环境下多飞行器冲突解脱方法可以有效地提供冲突解脱策略,实时规划飞行器四维航迹,避免飞行器之间发生危险接近事故或者碰撞,从而保障空域运行安全。然而,随着飞行器数目的不断增长,冲突解脱面临"维数灾难",导致问题具有高维度、强耦合等难点。因此,传统的优化方案难以得到令人满意的方案。为了提高冲突解脱效率,保障运行安全,基于满意博弈论方法,考虑低空飞行器运动特点,构建冲突解脱模型,设计冲突解脱方法。飞行器主要采用改变航向角的策略。通过基于条件概率的方法来建立"社会关系",即当前飞机所做的决策对其他飞机产生的影响。每个飞行器在决策时,都会受到优先级比自己高的决策者的影响。基于满意博弈论的冲突解脱方法不仅可以有效地解决当前飞行器的冲突问题,而且兼顾探测范围内的其他飞行器,避免当前解脱策略导致与其他飞行器冲突,实现整体最优化。最后,通过在极端典型飞行冲突场景中实验验证表明,基于满意博弈论的冲突解脱方法可以实时高效实现大规模飞行器的冲突解脱,保障飞行安全且控制经济成本。     

水平导航中转弯航线解算方法的研究和仿真

在飞机显示器的水平导航区域上需要为飞行员实时显示最新的航线信息，航线中的每个航路点均有不同的转弯方式，目前国内正在研发的飞机采用旁切转弯和飞越转弯两种方式，若错过了预计的转弯起始点，则需要重新进行航线解算，这被定义为超调转弯，给出三类转弯航线的解算方法。     

五边平行进近冲突风险定量分析模型

针对飞机五边平行进近时飞行冲突,提出了一种五边平行进近飞行冲突定量分析模型。模型通过飞机在任意时刻的标称位置坐标与因不确定性因素导致的航迹偏移量之和,形成飞机任意时刻真实位置坐标,基于此推导出飞机在五边平行进近时冲突风险计算公式。在分析不确定性因素导致航迹偏离时,提出了一种基于布朗运动的随机过程来描述因干扰因素导致飞机随机运动的方法。在建立模型后,使用蒙特卡罗仿真方法计算了飞行冲突概率,结果理想。     

An ECR-PCR rule for fusion of evidences defined on a non-exclusive framework of discernment

In the research of uncertain information processing, Dempster-Shafer Theory (DST) provides a framework for dealing with uncertain information, where evidence is defined on a Frame of Discernment (FOD) consisting of mutually exclusive elements. However, the requirement of exclusiveness on FOD sometimes is not satisfied, as shown in Dezert-Smarandache Theory(DSmT), a derivative of DST. In DSmT, the non-exclusiveness is expressed by propositions’ intersection and the fusion of evidence is realized through a Proportional Conflict Redistribution (PCR) rule. In order to handle non-exclusive FODs, a new framework called D Number Theory (DNT) has been proposed recently, which quantifies the non-exclusive degree between propositions different from DSmT. In previous studies, an Exclusive Conflict Redistribution (ECR) rule has been designed in DNT to implement the fusion of evidence defined on a non-exclusive FOD, but there are some deficiencies in the ECR rule. In this paper, a new rule called ECR-PCR rule is proposed by combining the ECR and PCR rules to better implement the fusion of evidence defined on a non-exclusive FOD. Within the proposed rule, the definition of conflict utilizes the idea of ECR’s exclusive conflict, and the disposal of conflict is following the idea of PCR’s proportional redistribution. Properties of the ECR-PCR rule are presented. The effectiveness of the proposed new rule is verified through numerical examples and applications, in comparison with other fusion methods.     

Evaluation on novel architecture for harmonizing manual and automatic flight controls under atmospheric turbulence

Pilot uncertainty in aircraft response under automatic flight control has triggered aircraft accidents/incidents in the past. This uncertainty compels a pilot to disengage autopilot and switch to manual control. However, the decision to disengage autopilot and when to do it can be difficult: especially if there is not enough time to monitor the cockpit displays, for instance while countering atmospheric turbulence. Against this background, we proposed the “human as a control module” architecture for harmonizing pilot and autopilot controls. The architecture blends pilot maneuver with autopilot control instead of switching between them when simultaneous inputs are given to the aircraft. By automatically adjusting pilot and autopilot control inputs, the architecture avoids overlaps of both control authorities and helps to circumvent the effect of conflicting actions. This paper applies the architecture to the situations of past aircraft incidents which had been caused by the transfer from autopilot control to pilot maneuver after encountering atmospheric turbulence. The effectiveness of the architecture is evaluated via simulation study for the specific incident examples. Furthermore, this paper extends the architecture with an Extended Kalman Filter (EKF) based observer and evaluates its robustness under errors in wind estimation.     

GRIB数据及其在航迹预测中的应用

四维航迹预测的准确性是轨迹运行与空管决策支持的基础,而高空风数据支持下的气象建模是提高航迹预测准确性的关键。通过解析GRIB格式的风数据,获取各高度层的风速和风向,同时依据风对地速、航向的影响进行四维航迹预测建模,利用浦东机场的进场航班实现仿真验证,将预测结果与实际雷达轨迹对比,验证了风影响下四维航迹预测的准确性。     

Influence of stealth aircraft dynamic RCS peak on radar detection probability

For modern stealth aircraft, it is important to analyze the influence of Radar Cross Section (RCS) peak exposure on penetration for guiding stealth design and penetration trajectory planning, which needs to reflect the RCS statistical uncertainty and the RCS difference with the change of incident angle. Based on the RCS characteristics of typical stealth aircraft, this paper established a simplified RCS dynamic fluctuation statistical model with the parameters log mean and log standard deviation. According to the detection probability algorithm in radar signal processing field, this paper built the algorithm of radar detection probability based on the RCS dynamic fluctuation statistical model. The analysis of examples concluded that the key to successful penetration is to shorten the RCS peak exposure time, which can be reduced by decreasing the RCS peak width or increasing velocity. Based on the conclusion, this paper proposed the method of turning maneuvering to reduce RCS peak exposure time dramatically.     

A multi-objective multi-memetic algorithm for network-wide conflict-free 4D flight trajectories planning

Under the demand of strategic air traffic flow management and the concept of trajectory based operations (TBO),the network-wide 4D flight trajectories planning (N4DFTP) problem has been investigated with the purpose of safely and efficiently allocating 4D trajectories (4DTs) (3D position and time) for all the flights in the whole airway network.Considering that the introduction of large-scale 4DTs inevitably increases the problem complexity,an efficient model for strategic level conflict management is developed in this paper.Specifically,a bi-objective N4DFTP problem that aims to minimize both potential conflicts and the trajectory cost is formulated.In consideration of the large-scale,high-complexity,and multi-objective characteristics of the N4DFTP problem,a multi-objective multi-memetic algorithm (MOMMA) that incorporates an evolutionary global search framework together with three problem-specific local search operators is implemented.It is capable of rapidly and effectively allocating 4DTs via rerouting,target time controlling,and flight level changing.Additionally,to balance the ability of exploitation and exploration of the algorithm,a special hybridization scheme is adopted for the integration of local and global search.Empirical studies using real air traffic data in China with different network complexities show that the pro posed MOMMA is effective to solve the N4DFTP problem.The solutions achieved are competitive for elaborate decision support under a TBO environment.     

小推力深空探测轨道全局优化设计

 针对小推力深空探测四维轨道优化设计,给出了一种组合优化算法,采用该算法基于二体模型进行了深空探测四维轨道全局优化。该组合优化算法由动态规划算法、静态参数优化算法与共轭梯度算法组成。动态规划算法和静态参数优化算法用以选择最优的发射窗口、返回窗口及相应的近似飞行轨道;基于该近似轨道方案,采用共轭梯度算法（解决两点边值问题）求解精确的最优轨道。通过大量的数值仿真计算,得到了航天器的全局最优飞行轨道,及相应的最优发射窗口与返回窗口。数值仿真结果表明,该组合优化算法对深空探测轨道优化具有良好的通用性和工程运用价值。     

基于火箭橇的无人机碰撞民用飞机试验技术研究

无人机碰撞民用飞机关键部位损伤程度的研究是民航领域关注的新型热点问题。本文首次提出采用 火箭橇试验评估无人机碰撞民用飞机的安全性。通过对碰撞速度、碰撞位置、无人机姿态、参数测量等进行研 究,设计碰撞技术方案,论述火箭橇的设计、弹道控制设计、强度校核和测试方案,并进行试验验证和仿真计算。 结果表明:本文设计的火箭橇碰撞试验方案是可行的,实现了单一弹道上的连续多点碰撞及多视角、全覆盖、高 稳定的全过程记录;可为后续开展同类碰撞试验提供必要的技术参考,所开展的多发次碰撞试验也为无人机碰 撞民用飞机的安全性评估提供了有效的试验数据。     

The future functionalities of the flight management system

The availability of new Communication, Navigation and Surveillance technologies provides the basis to move towards advanced Air Traffic Management (ATM) concepts. Some of these concepts will impact the airborne Flight Management System (FMS) by introducing new functions with different flight time horizons. In this discussion, two main flight time horizon are defined:The tactical flight time horizon is between 30s and 10mn ahead of the aircraft current position. Airborne separation from traffic, terrain and adverse weather will be introduced in this time horizon as a tactical function.The strategic flight time horizon is more than 10mn ahead of the aircraft current position. Weather datafusion, enroute inflight replanning assistance and air-ground trajectory negotiation will be introduced in this time horizon as strategic functions.The organisation of the associated future flight management system can be synthesised in the scheme (figure 1). The data to be displayed to the pilot for his flight awareness are functions of the flight phase, the type of airspace and of the type of situation encountered.Globally these data can be shared as functions of their flight time horizons, and their topic, as it is described in the table below. In the cells are indicated the flight objects that these data address.SEXTANT as a major avionics manufacturer is leading research and development activities in the area of ATM related airborne flight management functions. Their existing or expected findings are described in this article.     

Augmented flight dynamics model for pilot workload evaluation in tilt-rotor aircraft optimal landing procedure after one engine failure

An augmented flight dynamics model is developed to extend the existing flight dynamics model of tilt-rotor aircraft for optimal landing procedure analysis in the event of one engine failure.Compared with the existing flight dynamics model, the augmented model involves with more pilot control information in cockpit and is validated against the flight test data. Based on the augmented flight dynamics model, the optimal landing procedure of XV-15 tilt-rotor aircraft after one engine failure is formulated into a Nonlinear Optimal Control Problem(NOCP), solved by collocation and numerical optimization method. The time histories of pilot controls in cockpit during the optimal landing procedure are obtained for the evaluation of pilot workload. An evaluation method which can synthetically quantify the pilot workload in time and frequency domains is proposed with metrics of aggressiveness and cutoff frequencies of pilot controls. The scale of the pilot workload is compared with those of the shipboard landing procedures, bob-up/bob-down and dash/quickstop maneuvers of UH-60 helicopter. The results show that the aggressiveness of pilot collective and longitudinal controls for the tilt-rotor aircraft optimal landing procedure after one engine failure are higher than those for UH-60 helicopter shipboard landing procedures up to the condition of sea state 4, while the pilot cutoff frequency of collective control is lower than that of the bob-up/bob-down maneuver but the pilot cutoff frequency of longitudinal control is higher than that of the dash/quick-stop maneuver. The evaluated pilot workload level is between Cooper–Harper HQR Level 2 and Level 3.     

Digital Control of High Performance Aircraft Using Adaptive Estimation Techniques

Since the early 1960's, a rapid advance in signal processing, including filtering and estimation techniques, has been evident. In contrast, applied feedback control, particularly for aircraft, is currently based on technology available prior to 1960, i. e., primarily either constant gain feedback or at most a standard gain-scheduling. In this paper, an adaptive signal processing algorithm is joined with gain-scheduling to produce an effective scheme for controlling the dynamics of high performance aircraft. A technique is presented for a reduced-order model (the longitudinal dynamics) of a high performance short-takeoff-and-landing (STOL) aircraft. The actual controller views the nonlinear behavior of the aircraft as being equivalent to a randomly switching sequence of linear models taken from a preliminary piecewise-linear fit of the system nonlinearities. The adaptive nature of the estimator is necessary to select the proper sequence of linear models along the flight trajectory. From the analysis of the reduced-order model the nonlinear behavior has been found to be well approximated by assuming an effective switching of the linear models at random times, the durations of which reflect the motion of the aircraft in response to pilot commands.