某型战机追踪导引研究

基于对广泛应用与研究的各种比例导引律的比较与分析，提出应用纯比例导引实现战机追踪导引的方法，并通过追踪以不同机动方式逃逸的飞行目标的仿真，说明了它的正确性与可行性。     

一种新型的现代战机复合导引律研究

针对现代战机近距空战导引过程,建立了战机与目标的相对运动模型。应用滑模变结构控制理论,以拦截时间、视线角速率和指令加速度变化率为性能指标,推导出一种增广比例加滑模变结构的新型复合导引律,给出了其设计机理,并在理论上对变参数进行了优化设计。仿真结果表明,该导引律结构简单,能有效克服目标机动,在具有较强鲁棒性的同时,其导引性能较传统的PPN有较大提高,具有工程可实现性和有效性。     

基于比例-最优的组合导引研究

提出一种面向工程实现，基于比僻最优的组合导引律，仿真结果表明，与传统比例导引律相比，该导引律可以显著降低导引过程中载机的能耗，同时以较短的时间接近目标。     

现代战机导引系统及其关键技术

阐述了现代战机导引系统的功能、结构与工作方式.基于对导弹制导等相关问题的深入研究,以及对战机导引的特点分析,阐述了战机导引控制律设计中应当解决的关键技术与研究途径,包括远距导引、近距导引和机动导引不同阶段的特点、捕获域的定义与计算方法、战机导引律研究特点及其基本工作模态.本研究可为新一代战机导引系统的研制提供参考.     

基于GRU的敌方拦截弹制导律快速辨识方法

针对拦截弹制导律辨识问题,基于门循环单元(GRU)神经网络提出了一种制导律辨识方法.首先,构建了三维空间下的拦截弹-我方飞行器相对运动模型,并假设拦截弹采用经典的比例导引(PN)制导律或增强比例导引(APN)制导律.由相对运动模型提取数据,构成训练样本集和测试样本集,样本输入为敌我双方运动学信息,标签为敌方拦截弹对应的...     

超视距空对舰攻击导引律设计

为满足现代海上超视距空对舰作战条件对载机导引的要求,本文提出了一种超视距空对舰攻击导引律--针对低速目标的虚拟点攻击导引律.仿真结果表明,该导引律能满足载机超视距空对舰作战的要求.     

固定鸭舵二维修正弹比例导引律参数优化

针对固定鸭舵二维修正机构控制力有限和比例导引法控制末段需用过载变化过大的问题,提出了一种基于重力补偿比例导引律的过载阈值控制策略。分析了固定鸭舵二维修正机构的控制力及力矩,以落点弹目距离最小为目标函数,选取纵向和横向平面导引系数及过载阈值为设计变量,在重力补偿比例导引律的基础上建立了导引律参数优化模型,并采用差分进化算法（DE）对其进行优化。最后通过外弹道仿真分别从控制段飞行稳定性、控制效率、控制机构过载及控制精度几个方面与传统比例导引律进行对比分析,同时使用蒙特卡洛法验证了控制策略的有效性。结果表明：与传统比例导引律相比,使用该控制策略提高了二维弹道修正迫弹的控制效率,有效降低了控制末段需用过载,弹道控制段飞行稳定性明显提高。     

自主攻击型无人机的导引技术研究

针对无人机执行攻击任务前的攻击导引问题,从导引信息的获取、导引控制策略和导引控制律三个方面进行分析。选取光电平台为侦察设备,并具体分析在此侦察设备下导引信息的获取途径。在无人机控制过程中分析比较了两种导引控制策略,指出适合自主控制的导引控制策略并加以改进。在导引控制律方面,对目前广泛使用的比例导引律进行研究,且根据导引律的指令需求在无人机模型上实现了过载控制。     

大气层外拦截变结构导引律

讨论了大气层外空间飞行器拦截的变结构导引律问题。从变结构控制理论出发 ,按照最终零控导引拦截的要求 ,确定切换函数 ,利用趋近律控制方法改善控制过程品质的特点 ,导出一种具有强鲁棒性的空间拦截导引律。最后给出了在具体条件下的仿真结果 ,并与比例导引律、最优导引律作了比较     

现代战机最佳导引算法研究

针对现代战机向目标空域的导引过程,建立了载机与目标相对运动的数学模型。基于最优控制的相关理论,以导引的准确性和控制的经济性为性能指标,建立了飞机导引控制算法。该导引算法既考虑了导引的角度误差又考虑了目标线角速度误差,通过对所得到的导引算法进行仿真验证,表明所得到的导引算法具有较强的适应性,能够满足飞机的导引要求。     

带有引诱角色的多飞行器协同最优制导方法

考虑我方高价值飞行器面临对方拦截器拦截时,发射两枚防御器对拦截器进行拦截的情形。针对对方拦截器采用扩展比例导引律,在4个飞行器均具有一阶线性动力学特性假设下,基于最优控制理论设计了能在拦截末端施加相对拦截角的显式协同制导律。显式协同制导律将高价值飞行器和两枚防御器三者的协同考虑在内,给出了三者最优控制输入的解析解。仿真结果表明,设计的制导律能使两防御器成功拦截敌方拦截器,且在拦截末端施加一个相对拦截角。通过与只考虑两防御器协同的隐式协同制导律进行比较,可发现显式的协同制导律在控制要求和能量消耗上,要优于隐式的协同制导律。此外,还验证了在不同发射条件下的协同制导律的稳定性。     

Unified approach to missile guidance laws: a 3D extension

Since the proportional navigation guidance law was first introduced, many of the researchers had proposed different methodologies to investigate the corresponding performances of all the existing guidance laws. Even though a unified approach was proposed a few years ago, other authors found that under the proposed framework, all the existing guidance laws, namely ideal proportional navigation (IPN), true proportional navigation (TPN), and pure proportional navigation (PPN), were indeed special cases of the mentioned general guidance law. However, the results were restricted to two-dimensional space. In this paper, the author not only extends the results to three-dimensional space, but also to general IPN (GIPN), general TPN (GTPN), and PPN. Unlike conventional researchers, a modified polar coordinate (MPC) is adopted. It is shown that with the property of this MPC, for the line of sight (LOS) based guidance laws (GIPN and GTPN) the number of differential equations required to fully describe the relative dynamics can be reduced from six to three, however, for the missile's velocity-based guidance law, i.e., PPN, five differential equations are required. All the terms of differential equations involve only products and additions of variables. For all the mentioned guidance laws in this paper, only two transformed variables are required to describe the capture region, while the third variable is required to provide the condition of finite turn rate.     

基于纯比例导引的拦截碰撞角约束制导策略

拦截碰撞角约束制导是当前导弹制导研究的关键问题之一。首先基于理想比例导引（IPN）律拦截非机动目标的解析解,推导了纯比例导引律（PPN）拦截固定目标的解析解,得到了弹目相对距离、制导指令加速度和导弹前置角的显示表达式,并进一步得到了拦截碰撞角与弹目相对运动状态和比例导引系数之间的解析表达式。其次,基于该解析表达式,提出了基于PPN的拦截碰撞角约束制导策略（PPNIACG）,并探讨了在铅垂面内进行落角约束打击和水平面内进行拦截碰撞角约束打击的2种实现方式。最后,以弹道成型制导律（TSG）和最优碰撞角约束制导律（OIACG）为参考,通过数值仿真算例,对PPNIAC的拦截性能进行了对比分析,验证了所提出制导策略的有效性和正确性。     

主动防御协同自适应滑模制导律

飞机相比于攻击导弹,在飞行速度和机动性能等方面存在着劣势.为了提高其生存几率,设计了一种发射防御导弹协同对抗攻击导弹的自适应滑模制导律.该制导律本质是一种视线(Line of Sight,LOS)制导方法,通过对飞机与防御导弹和防御导弹与攻击导弹间的LOS调整以满足特定的几何关系,从而实现对攻击导弹的主动防御.最后,将所设计的制导律与比例导引进行了仿真比较.结果表明,由于与目标间的协同,所设计的制导律在机动性能和拦截性能方面具有明显的优势,且对于三方的飞行速度变化与攻击导弹的机动具有较强的鲁棒性.     

Quick identification of guidance law for an incoming missile using multiple-model mechanism

A guidance law parameter identification model based on Gated Recurrent Unit (GRU) neural network is established. The scenario of the model is that an incoming missile (called missile) attacks a target aircraft (called aircraft) using Proportional Navigation (PN) guidance law. The parameter identification is viewed as a regression problem in this paper rather than a classification problem, which means the assumption that the parameter is in a finite set of possible results is discarded. To increase the training speed of the neural network and obtain the nonlinear mapping relationship between kinematic information and the guidance law parameter of the incoming missile, an output processing method called Multiple-Model Mechanism (MMM) is proposed. Compared with a conventional GRU neural network, the model established in this paper can deal with data of any length through an encoding layer in front of the input layer. The effectiveness of the proposed Multiple-Model Mechanism and the performance of the guidance law parameter identification model are demonstrated using numerical simulation.     

Optimal pure proportional navigation for maneuvering targets

The optimal pure proportional navigation (PPN) guidance law with time-varying navigation gains is considered. Unlike the conventional optimal PPN approach where linearized model was assumed in the optimization process, this work exploits the exact nonlinear formulation of PPN to derive analytically the optimal time trajectory of the navigation gain to minimize a performance index which is a weighted sum of the final time and the integral of the squared acceleration. It is verified that the PPN scheme with constant navigation gain is not only optimal in the vicinity of the interception point, but also optimal for the whole trajectory, if the navigation constant is designed by the methodology proposed here. Based on the optimization results for nonmaneuvering targets, a recursive optimal PPN scheme is proposed for maneuvering targets, wherein the optimal navigation gain and time-to-go are predicted recursively during the interception, and trajectory and performance of the interceptor guided by optimal recursive PPN scheme are evaluated analytically.     

The proportional navigation dilemma-pure or true?

Two generic classes of proportional navigation (PN) laws are compared in detail. One class consists of pursuer-velocity-referenced systems, which include pure proportional navigation (PPN) and its variants; the second category consists of line-of-sight- (LOS-) referenced systems such as true proportional navigation (TPN), generalized true proportional navigation (GTPN), and generalized guidance laws. The existing closed-form solutions are discussed in detail, and the classical linear and quasilinear analytical solutions are summarized. A critical comparison is then made with regard to the definition, implementation, and analytical aspects of the guidance laws, including the method, the nature of solution, and an appraisal of the behavior of the pursuer motion resulting from the laws. It is established that, in spite of some restricted advantages in the solvability of the equations of motion, the LOS-referenced PN schemes suffer from serious limitations in terms of implementation and trajectory behavior. Among the major drawbacks are forward velocity variation requirement, relatively large control effort requirement, restrictions on initial engagement conditions to ensure intercept, lack of robustness, and possibility of unbounded acceleration. It is concluded that PPN is a better guidance law in a practical sense than TPN and its generalizations     

小型无人机的导航与制导仿真系统研究

研究了基于飞行器动力学模型的小型无人机的惯性组合导航与制导系统仿真技术,组合导航系统嵌入了飞行器的轨迹和姿态控制回路,建立了基于MATLAB/AEROSIM的组合导航计算机仿真系统,仿真系统包括惯性组合导航仿真模块、传感器仿真支持模块、飞行器6自由度动力学模型模块、飞行器轨迹生成、轨迹控制与姿态控制模块、导航仿真评估模块。基于该仿真系统,目前已开展惯性/卫星深组合、惯性/大气数据融合等理论算法和技术研究。     

有输入未建模动态和不确定性导弹控制器设计

在考虑导弹控制系统同时存在输入未建模动态和参数不确定性的情况下,提出了一种基于RBF神经网络和反演技术的鲁棒自适应控制器的设计方法。首先用两个RBF神经网络对未建模动态进行了补偿,然后利用反演技术设计了鲁棒自适应控制器,对不确定性进行了处理,并用Lyapunov稳定性理论推导出RBF神经网络的权重矩阵调节率以及相关的自适应律,证明了系统的全局稳定性,最后通过仿真计算验证了设计的正确性。     

基于匹配渐进展开的跳跃式再入解析预测-校正制导律设计

为了适应低升阻比飞行器再入返回的大航程要求,针对大气跳跃再入飞行环境复杂并难以直接获得解析解的特点,基于匹配渐进展开法设计了一种跳跃式再入解析预测-校正制导方法。首先分析了低升阻比飞行器大气跳跃再入轨迹的飞行剖面和制导分段方法;然后分别推导了其运动方程以重力作用为主导的外解和以气动力作用为主导的内解的渐进展开形式,并通过匹配获得了统一的封闭解析表达式;接着基于此解析解实时预测飞行器的剩余航程,并通过不断迭代升阻比垂向分量以满足最后的落点精度;最后针对跳跃再入飞行的不同阶段设计了不同的制导策略以获得最终的倾侧角指令。仿真结果表明采用跳跃式再入返回技术,阿波罗指令舱的航程能够达到8 348 km,而解析预测-校正制导律的落点精度为0.338 km,证明了此方法的有效性。