基于李亚普诺夫最优反馈控制的中制导

基于李亚普诺夫最优反馈控制的2种实现方法,即时间最速下降法与空间最速下降法,提出了一种混合策略。应用于导弹中制导,获得了满意的结果,可以极大地缩短中制导飞行时间并大幅度地提高中制导末端速度。仿真结果表明,该方法有一定的工程应用参考价值。     

教育成本刍议

文章试图从教育成本概述、教育成本的类别、教育成本核算、教育成本预测与计划以及教育成本控制等方面对教育成本进行论述。     

遥测参数数据载荷状态判别集成学习方法

针对载荷单机设备遥测参数维度高、数据量大、存在类别不平衡、无法直观判别单机设备运行情况等问题,考虑到航天任务对可解释性的要求,提出一种基于信息增益参数特征选择和集成学习方法的载荷单机状态快速识别方法。采用统计量性质和信息增益子集搜索方法对遥测数据进行特征筛选降维,通过集成学习模型算法实现载荷单机设备状态的自适应识别分类。所提方法将信息增益的参数分类信息量评价准则和集成学习拟合能力强、类别不平衡下准确率高和抗噪能力强等优点相结合,兼顾模型特征和结果的可解释性,提供了重点参数发现功能。采用科学卫星任务真实载荷遥测参数数据对该方法进行了验证,整体识别准确率高于90%,少数样本亦可准确识别,整体效果可达到在轨任务要求,证明了所提方法的有效性和实用性。     

二维弹道修正弹及其制导控制技术综述

针对二维弹道修正弹这类具有广泛应用前景的智能弹药,综述了二维弹道修正弹的发展、主要修正机构方案及其制导控制技术。对二维弹道修正弹的研制历程进行总结,梳理发展脉络揭示其发展规律,分析二维修正弹的打击任务。对几种主流修正方案进行讨论,分析各机构的作用特点及研究难点。基于二维弹道修正弹打击任务需求,从气动辨识及状态估计算法、修正机构参数优化设计算法和制导律三个方面总结其控制技术的发展现状。着重介绍近年来发展迅猛的智能算法,特别是神经网络理论在二维修正弹控制算法领域的研究应用。进一步指出二维弹道修正弹的控制研究需解决的主要技术难点和未来发展方向,为二维弹道修正的设计提供思路。     

二语熟练度及语言使用特征对双语者抑制控制能力的影响

本文考察双语者二语熟练程度及不同语言使用特征对其抑制控制能力影响的差异。根据二语的熟练程度将被试分为熟练双语者组和不熟练双语者组,在熟练组和不熟练组中根据不同的语言使用特征划分为以口语为主和以阅读为主的两个被试组。所有被试都参与Stroop任务、Simon任务和Flanker任务。结果发现:熟练度高的双语者在三种任务中均表现出了优势反应。说明二语熟练程度对双语者的抑制控制能力有着促进作用;在不同语言使用特征组中,两组被试在simon任务与stroop任务中表现无显著差异,但表现出明显的CA效应。表明二语熟练度影响双语者的抑制控制能力;语言使用特征的不同对双语者的抑制控制能力无显著影响。     

【专题】从系统工程视角看无人机自主控制系统

提升无人机的自主控制能力可有效提高无人机在复杂对抗环境下的作战性能。系统工程是指导复杂系统研制的有效手段,采用系统的思维方法,关注系统的整体效能优化实现。系统工程覆盖复杂工程型号生命周期的全流程活动,包括概念论证、工程开发、生产制造、使用服役、综合保障以及系统退出等过程,能够为系统开发中各工程技术的应用,跨专业工程合作以及项目管理建立切实的技术路径。无人机外部应用背景环境与内部体系结构相互交联,是一个典型的“系统之系统”（System of Systems）。无人机自主控制系统是跨域、跨平台的复杂“系统之系统”。本文从系统复杂性出发,介绍了无人机系统组成、自主控制系统以及无人机自主能力等级,以期为无人机自主控制技术的发展提供参考和借鉴。     

Adaptive subspace detection based on two-step dimension reduction in the underwater waveguide

In the underwater waveguide, the conventional adaptive subspace detector (ASD), derived by using the generalized likelihood ratio test (GLRT) theory, suffers from a significant degradation in detection per-formance when the samplings of training data are deficient. This paper proposes a dimension-reduced approach to alleviate this problem. The dimension reduction includes two steps: firstly, the full array is divided into several subarrays; secondly, the test data and the training data at each subarray are transformed into the modal domain from the hydrophone domain. Then the modal-domain test data and training data at each subarray are processed to formulate the subarray statistic by using the GLRT theory. The final test statistic of the dimension-reduced ASD (DR-ASD) is obtained by summing all the subarray statistics. After the dimension reduction, the unknown parameters can be estimated more accurately so the DR-ASD achieves a better detection performance than the ASD. In order to achieve the optimal detection performance, the processing gain of the DR-ASD is deduced to choose a proper number of subarrays. Simulation experiments verify the improved detection performance of the DR-ASD compared with the ASD.     

Finite-time tracking control and vibration suppression based on the concept of virtual control force for flexible two-link space robot

The dynamic modeling, finite-time trajectory tracking control and vibration suppression of a flexible two-link space robot are studied. Firstly, the dynamic model of the system is established by combining Lagrange method with assumed mode method. In order to ensure that the base attitude and the joints of space robot can reach the desired positions within a limited time, a non-singular fast terminal sliding mode (NFTSM) controller is designed, which realizes the finite-time convergence of the trajectory tracking errors. Subsequently, for the sake of suppressing the vibrations of flexible links, a hybrid tra-jectory based on the concept of the virtual control force is developed, which can reflect the flexible modes and the trajectory tracking errors simultaneously. By modifying the original control scheme, a NFTSM hybrid controller is proposed. The hybrid control scheme can not only realized attitude stabili-zation and trajectory tracking of joints in finite time, but also provide a new method of vibration sup-pression. The simulation results verify the effectiveness of the designed hybrid control strategy.     

Barrier Lyapunov functions-based dynamic surface control with tracking error constraints for ammunition manipulator electro-hydraulic system

This paper focuses on the dynamic tracking control of ammunition manipulator system. A standard state space model for the ammunition manipulator electro-hydraulic system (AMEHS) with inherent non-linearities and uncertainties considered was established. To simultaneously suppress the violation of tracking error constraints and the complexity of differential explosion, a barrier Lyapunov functions-based dynamic surface control (BLF-DSC) method was proposed for the position tracking control of the ammunition manipulator. Theoretical analysis prove the stability of the closed-loop overall system and the tracking error converges to a prescribed neighborhood asymptotically. The effectiveness and dynamic tracking performance of the proposed control strategy is validated via simulation and experi-mental results.     

聚焦俄军防空指挥自动化系统

探讨了俄军防空指挥自动化系统的发展状况,介绍了俄军防空指挥自动化系统的分类、组成、结构特点及各系统采用的技术。指出了目前旧有的两种分类,提出了新的分类方式。也介绍了俄军战略、战役和战术三个层次防空指挥自动化系统组成及其结构特性。最后举例介绍了俄军无线电技术兵所装备的指挥自动化系统。