地-地战术导弹全程惯性制导弹道技术

利用比例导引弹道原理及弹道仿真,分析了150~250 km射程范围地-地战术导弹全程惯性制导弹道的设计原理。其弹道特征一般由熄火点、转弯点、俯冲点和目标点4个特征点组成,射程的改变通过改变转弯点、俯冲点和目标点3点的参数实现。通过弹道仿真研究,给出了各特征点的功能和选取原则,分析了全程制定控制弹道方案的优缺点。     

Backstepping design of missile guidance and control based on adaptive fuzzy sliding mode control

This paper presents an integrated missile guidance and control law based on adaptive fuzzy sliding mode control. The integrated model is formulated as a block-strict-feedback nonlinear system, in which modeling errors, unmodeled nonlinearities, target maneuvers, etc. are viewed as unknown uncertainties. The adaptive nonlinear control law is designed based on backstepping and sliding mode control techniques. An adaptive fuzzy system is adopted to approximate the coupling nonlinear functions of the system, and for the uncertainties, we utilize an online-adaptive control law to estimate the unknown parameters. The stability analysis of the closed-loop system is also conducted. Simulation results show that, with the application of the adaptive fuzzy sliding mode control, small miss distances and smooth missile trajectories are achieved, and the system is robust against system uncertainties and external disturbances.     

RNP AR飞行程序设计方法及实例分析

RNP AR飞行程序因其水平保护区小、航迹设计灵活以及能提供垂直引导而备受青睐,在地形复杂或空域受限的机场使用RNP AR飞行程序能显著降低运行标准,提高运行效率~([1])。本文从RNP AR飞行程序设计规范入手,详细阐述了RNP AR飞行程序设计的主要内容,并以某机场进近程序为例,进行了RNP AR飞行程序设计的实例分析。     

一种基于滑模非奇异的反舰导弹导引律的设计与仿真

提出了一种反舰导弹滑模非奇异导引律。根据反舰导弹弹道的运动学分析方法,建立了弹目相对运动的数学模型。在非奇异理论的基础上,推导出具有带落角约束的滑模非奇异导引律。通过仿真,表明了该导引律能同时满足脱靶和落角的性能指标,具有优良的鲁棒性,脱靶量更小,精度更高。相比传统的比例导引律,具有更强的实用性和有效性。     

一种跳跃式返回再入的预测—校正制导方法

再入地球大气是探月飞船返回的关键阶段,再入制导是返回再入中的难点问题.飞船跳跃式再入过程复杂,标准轨道制导方法难以满足任务要求,因此具有高精度和强鲁棒性的预测—校正制导方法成为解决问题的首选.以探月飞船跳跃式再入为背景,设计了数值预测—校正制导律,研究了基于嵌套式积分算法的航程快速预报方法和基于有界试位法的倾侧角剖面快速更新算法,提出了一种气动系数误差和大气密度误差的在线参数辨识方法,并基于最大偏差法和蒙特卡洛打靶法进行了仿真分析.结果表明,预测—校正再入制导方法在跳跃式再入问题上具有较高的精度和较好的鲁棒性.5 000 km再入航程时,开伞点误差在2.5 km以内.     

基于动态面法的导弹制导控制一体化设计方法研究

为避免传统导弹制导和控制系统单独设计存在的缺陷,将两个系统综合考虑,提出一种制导控制一体化设计方法。首先推导出俯仰通道的制导控制一体化数学模型,并化为级联形式;然后引入动态面方法并结合非线性干扰观测器技术,提出了一种基于非线性干扰观测器的积分动态面一体化制导控制系统设计方法,在每一个子系统设计时引入误差的积分项以消除稳态误差,提高了子系统的跟踪精度;采用Lyapunov函数对系统稳定性进行了分析;最后通过仿真验证了所提出的一体化控制算法的有效性。     

变结构制导规律及其实现

由于变结构控制的滑动模态具有完全的自适应性,不必全面研究系统的各种摄动及外干扰,只需根据高速度大机动目标的特点,对其实现自适应,将各种干扰及偏差的影响归人有关增益系数上加以考虑。应用变结构滑膜控制理论,推导了出一种适用于拦截高速大机动目标的空间制导规律,该制导规律能将系统引向滑动面并保持在其上运动。算例仿真证明,变结构项保证了对目标机动的鲁棒性,简单易行利于工程实现。     

Concurrent image-based visual servoing with adaptive zooming for non-cooperative rendezvous maneuvers

An image-based servo controller for the guidance of a spacecraft during non-cooperative rendezvous is presented in this paper. The controller directly utilizes the visual features from image frames of a target spacecraft for computing both attitude and orbital maneuvers concurrently. The utilization of adaptive optics, such as zooming cameras, is also addressed through developing an invariant-image servo controller. The controller allows for performing rendezvous maneuvers independently from the adjustments of the camera focal length, improving the performance and versatility of maneuvers. The stability of the proposed control scheme is proven analytically in the invariant space, and its viability is explored through numerical simulations.     

Deep reinforcement learning for six degree-of-freedom planetary landing

This work develops a deep reinforcement learning based approach for Six Degree-of-Freedom (DOF) planetary powered descent and landing. Future Mars missions will require advanced guidance, navigation, and control algorithms for the powered descent phase to target specific surface locations and achieve pinpoint accuracy (landing error ellipse <5 m radius). This requires both a navigation system capable of estimating the lander’s state in real-time and a guidance and control system that can map the estimated lander state to a commanded thrust for each lander engine. In this paper, we present a novel integrated guidance and control algorithm designed by applying the principles of reinforcement learning theory. The latter is used to learn a policy mapping the lander’s estimated state directly to a commanded thrust for each engine, resulting in accurate and almost fuel-optimal trajectories over a realistic deployment ellipse. Specifically, we use proximal policy optimization, a policy gradient method, to learn the policy. Another contribution of this paper is the use of different discount rates for terminal and shaping rewards, which significantly enhances optimization performance. We present simulation results demonstrating the guidance and control system’s performance in a 6-DOF simulation environment and demonstrate robustness to noise and system parameter uncertainty.     

基于对数极坐标变换的快速相关匹配算法

成像制导过程中,需要在导引头获得的图像中搜索目标所在位置。基于对数极坐标变换的相关匹配算法能够有效处理在尺度、旋转等情况下目标的匹配问题,但是计算量大、匹配效率低,因此提出一种基于对数极坐标变换的多分辨率快速相关匹配算法。首先,通过定义主梯度方向,并将该方向作为对数极坐标变换的角度变换基准,有效避免了模板与目标特征矩阵基准不同的问题;其次,在多分辨率金字塔搜索过程中,采用图像方差作为判断依据,跳过同质区域和杂乱区域等非目标区域,加快搜索效率。仿真结果表明,该算法相比传统多分辨率相关匹配算法能够保证匹配精度并提高算法对于非线性光照变化的鲁棒性,匹配效率显著提高,具有实时处理的潜力。