Optimal observer maneuver for bearings-only tracking

In bearings-only tracking, observer maneuver is critical to ensure observability and to obtain an accurate target localization. Here, optimal control theory is applied to the determination of the course of a constant speed observer that minimizes an accuracy criterion deduced from the Fisher information matrix (FIM). Necessary conditions for optimal maneuver (Euler equations) are established and resolved, partly by analytical means and partly by an iterative numerical procedure. Examples of optimal observer maneuvers are presented and discussed     

Optimization of observer trajectories for bearings-only targetlocalization

The problem of bearings-only target localization is to estimate the location of a fixed target from a sequence of noisy bearing measurements. Although, in theory, this process is observable even without an observer maneuver, estimation performance (i.e., accuracy, stability and convergence rate) can be greatly enhanced by properly exploiting observer motion to increase observability. This work addresses the optimization of observer trajectories for bearings-only fixed-target localization. The approach presented herein is based on maximizing the determinant of the Fisher information matrix (FIM), subject to state constraints imposed on the observer trajectory (e.g., by the target defense system). Direct optimal control numerical schemes, including the recently introduced differential inclusion (DI) method, are used to solve the resulting optimal control problem. Computer simulations, utilizing the familiar Stansfield and maximum likelihood (ML) estimators, demonstrate the enhancement to target position estimability using the optimal observer trajectories     

Bearings-only tracking for maneuvering sources

Classical bearings-only target-motion analysis (TMA) is restricted to sources with constant motion parameters (usually position and velocity). However, most interesting sources have maneuvering abilities, thus degrading the performance of classical TMA. In the passive sonar context a long-time source-observer encounter is realistic, so the source maneuver possibilities may be important in regard to the source and array baseline. This advocates for the consideration and modeling of the whole source trajectory including source maneuver uncertainty. With that aim, a convenient framework is the hidden Markov model (HMM). A basic idea consists of a two-levels discretization of the state-space. The probabilities of position transition are deduced from the probabilities of velocity transitions which, themselves, are directly related to the source maneuvering capability. The source state sequence estimation is achieved by means of classical dynamic programming (DP). This approach does not require any prior information relative to the source maneuvers. However, the probabilistic nature of the source trajectory confers a major role to the optimization of the observer maneuvers. This problem is then solved by using the general framework of the Markov decision process (MDP)     

有向拓扑条件下针对机动目标的分布式协同制导律设计

研究了在有向拓扑条件下针对机动目标的分布式协同制导律的设计问题。首先，根据飞行器与目标之间追击过程的几何关系建立制导过程系统模型，针对该模型的非线性问题采用动态反馈线性化方法进行处理。将目标未知机动视为干扰，通过扩张状态观测器进行观测，同时将该估计值用于制导律的设计中，通过直接补偿的方式剔除目标机动对飞行器剩余飞行时间的影响。然后，将所设计的制导律代入到制导模型中，利用一致性分析方法将多飞行器协同制导问题转化为一致性问题，利用极点分析的方法对非一致性子空间的收敛性进行分析，得到协同制导律收敛的充要条件。最后，通过仿真分析的方式对所设计的协同制导律以及制导律的参数选取方法进行分析。     

基于扩张状态观测器的动态逆过失速机动飞行控制

针对飞机过失速机动飞行控制问题,提出了一种将动态逆与扩张状态观测器相结合进行扰动估计补偿的新思路。根据时标分离原则将飞机状态分为快变量和慢变量,并分别设计了两个回路的动态逆控制器。在快慢回路分别引入扩张状态观测器对系统的不确定部分进行估计补偿,抵消不确定部分对系统动态特性的影响。最后对控制律进行了过失速机动仿真。结果表明,在存在较大参数摄动情况下,设计的控制律能控制飞机跟踪控制指令,表现出良好的稳定性和鲁棒性。     

Detumbling and reorientation maneuvers and stabilization of NASASCOLE system

The questions of rotational maneuver and vibration stabilization of the NASA Spacecraft Control Laboratory Experiment (SCOLE) system is considered. The mathematical model of the SCOLE system includes the rigid body dynamics as well as the elastic dynamics representing transverse and torsional deformations of the elastic beam connecting the orbiter and end body (reflector). For the rotational maneuver, a new control law (orbiter control law) is derived using an orbiter input torque vector. Detumbling and reorientation maneuvers of the SCOLE system are accomplished using this control law; however, this excites the elastic modes of the beam. The orbiter control law asymptotically linearizes the flexible dynamics. Using the linearized model, a linear feedback control law is designed for vibration suppression. An observer is designed for estimating the state variables using sensor outputs which are also used for the synthesis of the control law. Simulation results are presented to show that in the closed-loop system detumbling and reorientation maneuvers can be accomplished and the effect of control and observation spillover is insignificant     

基于扰动观测器的无人机固定时间编队协同控制

针对无人机的编队控制问题,基于虚拟领航者编队方法,提出了 1种基于固定时间超螺旋干扰观测器的反步控制策略。首先,设计了 1种固定时间超螺旋扰动观测器,以保证在固定时间内,对无人机编队机动所受扰动的快速观测;其次,针对编队控制问题,设计了基于超螺旋扰动观测器的反步控制策略,该控制器显著降低了抖振效应;然后,使用李雅普诺夫理论和固定时间理论,分析了控制策略的固定时间稳定性;最后,通过仿真算例验证了所提出的控制策略的有效性与可行性。     

基于动态贝叶斯网络和模糊灰度理论的飞行训练评估

针对战斗机飞行训练中的评估问题,提出了一种基于动态贝叶斯网络和模糊灰度理论的评估方法。首先,分析了训练过程中典型飞行参数与机动动作的因果关系,根据专家经验与先验知识构建基于动态贝叶斯网络的机动动作识别模型,推理得到战斗机机动动作识别结果。然后,建立战斗机飞行训练评估指标体系,根据战斗机机动识别结果选择飞行训练评估指标,并采用综合赋权法确定了指标权重。最后,建立灰度模糊评估矩阵,结合飞行训练过程中各评估指标的飞行数据得到评估结果。实验结果表明该评估方法能够根据飞行过程中的参数信息进行机动动作识别及飞行训练评估,提高了飞行训练评估的效率。     

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.     

天基对地打击武器空间机动过程分析

天基对地打击武器是一种新的战略威慑力量,与地基发射的武器相比具有自己独特的优势。首先通过对天基武器作战过程的分析,得出在轨机动是实现天基快速对地打击的关键的结论;而后建立了天基平台的轨道面机动与相位机动的数学模型。在上述研究的基础上,通过数学仿真分析了轨道机动对打击时间的影响,得到了一些有用的基本结论。     

反潜巡逻机反潜战术机动建模与仿真

针对反潜巡逻机反潜战术机动问题,将整个战术机动过程转化为若干个关键点间的机动;同时,分析了任意两点间的所有可能的机动航线,并建立了对应的机动参数解箅模型,给出了战术机动航线选择策略。最后,以投布声纳浮标为例,设计了仿真流程,对反潜巡逻机的反潜战术机动进行了仿真。仿真表明,航迹理想,所建立的战术机动模型正确,满足仿真需求...     

具有未知输入干扰的观测器设计

提出一种全阶比例积分观测器。该观测器包含有估计误差的比例和积分回路,可同时得到状态和未知输入估计。分析了比例积分观测器的结构和估计性能,给出并证明了其存在条件,由于存在条件弱于未知输入观测器,该比例积分观测器可以更广泛地应用于基于观测器的技术方案。通过一个飞行器线性化模型,进行了比例积分观测器设计。仿真结果表明,比例积分观测器的估计性能优于常规 Luenberger观测器     

机动目标的模型与跟踪算法

 <正> 在机动目标的“当前”统计模型中,目标的加速度被描述为修正的瑞利—马尔科夫过程,对应的自适应跟踪算法呈现出较好的跟踪特性。文献[2]研究了该模型及其自适应算法在实际的机载雷达跟踪系统的应用;文献[3]进一步推广了基于“当前”模型的MPDAF算法。本文提出一个新的机动目标模型,即假定目标加速度为一高斯—马尔     

Fast level-flight to hover mode transition and altitude control in tiltrotor’s landing operation

An attempt is made to implement a faster level-flight to hover mode transition in tiltrotor’s landing process for the purpose of shortening its landing time. A three-stage tiltrotor landing maneuver is designed, and corresponding control modules and algorithms are created based on the analysis of the flight dynamics and the required actions of tiltrotor’s landing operation. As the altitude control is vital for tiltrotor’s near-ground landing, an Extended State Observer (ESO) control module of the Active Disturbance Rejection Control (ADRC) is designed to reduce altitude fluctuations in the fast mode transition, which makes the designed maneuver workable at very low altitudes. Simulations are conducted to verify the effectiveness of the designed maneuver and the validity of ESO control in various flight conditions. Flight test results that finally prove the effectiveness of the desired fast transition maneuver are reported.     

An online ensemble semi-supervised classification framework for air combat target maneuver recognition

Online target maneuver recognition is an important prerequisite for air combat situation recognition and maneuver decision-making. Conventional target maneuver recognition methods adopt mainly supervised learning methods and assume that many sample labels are available. However, in real-world applications, manual sample labeling is often time-consuming and laborious. In addition, airborne sensors collecting target maneuver trajectory information in data streams often cannot process information in real time. To solve these problems, in this paper, an air combat target maneuver recognition model based on an online ensemble semi-supervised classification framework based on online learning, ensemble learning, semi-supervised learning, and Tri-training algorithm, abbreviated as Online Ensemble Semi-supervised Classification Framework (OESCF), is proposed. The framework is divided into four parts: basic classifier offline training stage, online recognition model initialization stage, target maneuver online recognition stage, and online model update stage. Firstly, based on the improved Tri-training algorithm and the fusion decision filtering strategy combined with disagreement, basic classifiers are trained offline by making full use of labeled and unlabeled sample data. Secondly, the dynamic density clustering algorithm of the target maneuver is performed, statistical information of each cluster is calculated, and a set of micro-clusters is obtained to initialize the online recognition model. Thirdly, the ensemble K-Nearest Neighbor (KNN)-based learning method is used to recognize the incoming target maneuver trajectory instances. Finally, to further improve the accuracy and adaptability of the model under the condition of high dynamic air combat, the parameters of the model are updated online using error-driven representation learning, exponential decay function and basic classifier obtained in the offline training stage. The experimental results on several University of California Irvine (UCI) datasets and real air combat target maneuver trajectory data validate the effectiveness of the proposed method in comparison with other semi-supervised models and supervised models, and the results show that the proposed model achieves higher classification accuracy.     

基于Backstepping和扰动观测器的导引律

考虑目标机动和自动驾驶仪动态特性等情况,基于扰动观测器(DOB)技术及Backstepping的设计思想,提出了一种新型的三维导引律。运用Backstepping的设计思想,将包含驾驶仪动态特性的制导环路分为外环和内环两个环路。将目标机动及俯仰和偏航平面间的交叉耦合项当成外环扰动,将驾驶仪参数不确定当成内环扰动,分别设计内外扰动观测器将它们估计出来,利用估计值做前馈补偿得到的外环控制器可抑制目标机动对制导精度的影响及实现两个平面的解耦控制,内环控制器补偿驾驶仪动态特性对制导精度的影响。导引律的设计在于使得导弹的实际加速度跟踪上外环的虚拟控制。仿真结果表明:在目标做大机动、考虑驾驶仪动态特性的情况下,这种导引律仍然具有良好的制导精度。     

推力矢量飞机试飞技术模拟研究

为研究推力矢量飞机的试飞技术,建立了推力矢量飞机的动力学模型,用动态逆方法设计了4种过失速机动控制律,并在地面飞行模拟器上参考标准评估机动动作集(STEMS)进行了飞行模拟试验研究。试验结果表明,使用的4种过失速机动控制模式没有不可接受的操纵响应,飞机采用推力矢量控制后敏捷性明显提高。在模拟导弹攻击目标时,采用过失速机动控制模式具有明显的优势。     

基于建模仿真的飞机桶滚机动规避空空导弹效果及原因分析

基于飞机桶滚机动规避空空导弹攻击的作战背景,建立了导弹与飞机的空间交会模型。以导弹脱靶量、过载以及舵偏角速率为依据,对桶滚机动不同机动时机、周期下的规避效果以及规避原因进行了仿真分析。研究结果表明,导弹脱靶量与机动时机的关联性较弱,可随着机动周期的增大而减小。当机动周期为 2~3 s时,导弹脱靶量较大,飞机规避效果较好。飞机桶滚机动规避导弹的原因不仅在于导弹交会过程中过载的增大,而且还在于导弹交会过程中舵偏角速率的增大。