ID 原文 译文
14145 最终,通过典型的雷达电磁环境对算法进行验证,并通过LabWindows CVI将算法软件化,实验结果表明算法对于度量复杂电磁环境的复杂度具有一定的实用意义。 Finally,the algorithm is verified through a typical radar electromagnetic environment,and the software is formed through LabWindows CVI. Experimental results show that the proposed algorithm has certain practical significance for measuring the complexity of a complex electromagnetic environment.
14146 为提高四旋翼无人机对目标跟踪的动态性能和精度,结合图像视觉伺服(IBVS)提出一种新型非奇异固定时间滑模控制方法,实现了四旋翼无人机对速度指令和姿态指令的固定时间精确跟踪。 In order to enhance the transient performance and precision of the quadrotor Unmanned Aerial Vehicle(UAV) in target tracking,a new non-singular,fixed-time sliding mode control method is proposed with Image-Based Visual Servoing(IBVS),which realizes precise fixed-time tracking of the speed and attitude.
14147 首先,根据实际情况合理分析弹道导弹中段识别工作的需求,采用框架表示法将弹道导弹攻击场景按不同属性进行划分,并结合具体案例对不同属性进行赋权。 First of all, according to the actual situation, the requirements of ballistic missile midcouise recoanition is analvzed reasonablv and the frame renresentation method is uised to cafecorize the ballistic missile affack scenaro according to their different attributes,a nd the different attributes are weighted according to specific cases.
14148 之后,对不同属性进行相似度计算,匹配出最适合预案,经过检验后的预案进行简单调整可直接用于实战指导。 After that, the similarity of different attributes is calculated to match the most suitable plan. The tested plan can be directly used to auide the actual combai after simple adjustment.
14149 最后,对所提方法进行了实例验证,证明了该方法的可行性。 Finally. an example is given to verify the proposed method. which has proved its feasibility.
14150 针对在地磁变化缓慢区域,一维地磁匹配导航匹配概率低、使用范围有限的情况,在飞行器组网飞行的背景下,提出了基于粒子群优化算法(PSO)的多维地磁匹配算法。 In the area where the geomagnetic change is slow,the one-dimensional geomagnetic matching navigation has a low matching probability and limited application range. Aiming at the problem,a multi-dimensional geomagnetic matching algorithm based on PSO is proposed for aircraft networking flight.
14151 在一维地磁匹配模型的基础上,搭建了主从式组网地磁匹配模型,利用多飞行器空间约束,将平均绝对值误差法则从一维计算拓展至高维匹配,使用匹配成功率、匹配定位误差和算法适应度3个维度对定位有效性进行评价。 Based on the single-dimensional geomagnetic matching model,a master-slave networking geomagnetic matching model is established.Using multiple aircraft space constraints,the average absolute error rule is extended from one-dimensional calculation to high-dimensional matching. The positioning effectiveness is is evaluated from three aspects of successful matching rate, matching error and algorithm fitness.
14152 仿真结果表明,多维地磁匹配能够在短周期内得到较高的匹配概率和匹配定位精度,在相同的匹配点下,多维地磁匹配的匹配概率比一维地磁匹配要高10%。 Simulation results show that the multi-dimensional geomagnetic matching can obtain higher matching probability and matching positioning accuracy in a short period,with a matching rate 10% higher than that of single-dimensional geomagnetic matching at the same matching point.
14153 为提高电视末制导炮弹对地面目标的命中精度,减小炮弹的落角误差,同时实现以期望落角命中目标,在分析带落角约束滑模制导律特点的基础上,针对RBF(Radial Basis Function)神经网络滑模制导律难以以期望落角命中目标的不足,提出了一种结合均值聚类与RBF神经网络的滑模制导律,使得神经网络在学习过程中能根据炮弹的实时飞行状态不断调整聚类中心,使中心值始终是目前飞行状态下的最优解,实现制导律的优化。 In order to improve the hit accuracy of TV terminal guidance projectile to the ground target, reduce the falling angle error of the projectile,and realize the goal of hitting the target at a desired falling angle,a sliding mode guidance law combining means clustering with RBF neural network is proposed, for which an analysis is made to characteristics of sliding mode guidance law with falling angle constraint,and the shortage of Radial Basis Function (RBF) neural network sliding mode guidance law that is difficult to hit the target at the desired falling angle is taken into consideration. The new guidance law enables the neural network to adjust the clustering center and center value continuously according to the real-time flight state of the projectile in the learning process, and make the center value be always the optimal solution in the current flight state, thus to realize the optimization of guidance law.
14154 对静目标与动目标算例的数值仿真表明:相比带落角约束的滑模控制,RBF神经网络滑模控制、均值聚类RBF神经网络滑模控制由于均值聚类的加入,求得的切换项增益能使炮弹以期望落角命中目标,且具有较强的鲁棒性。 Numerical simulation is made to static target and moving target.The results show that,compared with sliding mode control with falling angle constraint and RBF neural network sliding mode control,the proposed guidance law can make the projectile hit the target at the desired falling angle,and is more robust.