Observer-based adaptive sliding mode backstepping output-feedback DSC for spin-stabilized canard-controlled projectiles

This article presents a complete nonlinear controller design for a class of spin-stabilized canard-controlled projectiles.Uniformly ultimate boundedness and tracking are achieved,exploiting a heavily coupled,bounded uncertain and highly nonlinear model of longitudinal and lateral dynamics.In order to estimate unmeasurable states,an observer is proposed for an augmented multiple-input-multiple-output(MIMO) nonlinear system with an adaptive sliding mode term against the disturbances.Under the frame of a backstepping design,an adaptive sliding mode output-feedback dynamic surface control(DSC) approach is derived recursively by virtue of the estimated states.The DSC technique is adopted to overcome the problem of ‘‘explosion of complexity" and relieve the stress of the guidance loop.It is proven that all signals of the MIMO closed-loop system,including the observer and controller,are uniformly ultimately bounded,and the tracking errors converge to an arbitrarily small neighborhood of the origin.Simulation results for the observer and controller are provided to illustrate the feasibility and effectiveness of the proposed approach.     

Hazard Prevention in Mission Plans for Aerial Vehicles Based on Soft Institutions

Hazard prevention in mission plans requires careful analysis and appropriate tools to support the design of preventive and/or corrective measures. It is most challenging in systems with large sets of states and complex state relations. In the case of sociotechnical systems, hazard prevention becomes even more dicult given that the behaviour of human centric components can at best be partially predictable. In the present article we focus on a specic class of sociotechnical systems namely air spaces containing pilot controlled as well as autonomous aircrafts and introduce the notion of relevant hazards. We also introduce soft institutions as an appropriate basis for analysis, with the aim of addressing relevant hazards. The concept of soft institutions is drawn from specication languages for interaction between agents in multi agent systems but, in our case, is adapted for use in systems that combine human and automated actors.     

深成份指数的灰色行业聚类关联与预测模型研究

本文应用系统工程理论,结合灰色趋势关联度,研究了灰色趋势关联系统及数学模型。作为该模型的应用,提出了灰色趋势关联聚类预测方法。以深成份指数为样本对各类行业进行了聚类分析,得到了一种符合实际的聚类预测结果,阐明了灰色趋势关联聚类预测方法的有效性、方便性和实用性。     

冷贮备可修系统的维修更换模型

研究了由一个修理工、两同型部件组成的冷贮备可修系统,在故障部件不能"修复如新"的条件下,分别选择系统中部件1的故障次数N和总工作时间T为更换策略,利用更新过程和几何过程理论,选择最优的策略N*和T*,使得系统经长期运行单位时间内平均停机时间最短,并推导出了系统经长期运行单位时间内平均停机时间的表达式。最后,通过数值例子对所得结果进行了分析。     

直升机抛放吊挂后的最优操纵与分析

为了研究吊挂抛放后回到稳定状态的合理操纵方式以增加安全性且辅助控制律设计,开发并验证了直升机带吊挂模型,使用轨迹优化方法得到了直升机抛放吊挂物后的最优操纵时间历程及相应的状态变化历程.在相同的初始条件下,计算了不同的性能指标对应的优化结果,分析并确定了性能指标的最终配置方式.研究了吊挂物质量对优化结果的影响.根据从悬停...     

基于序列-图像映射的航天器智能故障诊断方法

卫星组网是未来航天的发展大趋势,要保证众星在轨安全可靠稳定运行,要求单星具备高精度的在轨自主故障诊断能力。本文针对航天器控制系统故障闭环传播和数据维数高的特点,结合某航天器的地面测试数据,首先对高维耦合序列数据进行处理,实现序列到灰度图像的映射,然后采用卷积神经网络完成高精度同一故障部件的故障诊断。通过将所提方法与K邻近算法、基于主成分分析的K邻近算法等非图像化机器学习算法进行对比验证,说明了本文所提方法的有效性。     

Trajectory optimization of aerial slung load release for piloted helicopters

This study aims to provide the pilot with optimal control time histories for stabilization of a helicopter after releasing the slung load in aerial delivery missions. A model with 21 degrees of freedom (21-DOF) has been developed and validated for a helicopter slung load system. The control history is generated with detailed procedure based on trajectory optimization. Effects of the objective function formulation on the results are discussed and rules are obtained to assist in the objective function determination. We conclude that the pilot should first decrease and then increase the collective control and adjust the longitudinal control to stabilize the helicopter after the in-hover slung load release. The obtained control history is reasonable and helpful for safety and efficiency improvement. Effects of path constraints and the Flight Control System (FCS) are studied. More stringent path constraints will lead to longer time spent and more controls. Stronger stiffness and weaker damping from the FCS will cause milder control histories but sharper on-axis state histories.     

飞行器控制的伪线性系统方法——第二部分：方法与展望

针对第一部分提出的六类典型飞行器控制问题的共性伪线性系统模型，介绍了二阶伪线性系统的直接参数化设计方法：通过设计伪线性状态反馈控制律，可使闭环系统化为一个具有指定特征结构的二阶线性定常系统，并提供了控制系统设计中的所有自由度。另外，还以希望的闭环向量结构要求、闭环系统的干扰抑制要求和最小闭环特征值灵敏度要求为例，展示了通过综合优化设计自由度来实现控制系统的多目标设计思想。最后展望了伪线性系统理论的发展前景。     

涵道风扇式无人机的优先级控制分配

涵道风扇式无人机是一种冗余配置操纵面的飞行器，其控制分配问题通常使用伪逆法求解，然而伪逆法不能对任意可达的期望力矩都返回容许控制，使冗余的操纵面牺牲了部分控制能力。提出一种优先级控制分配方法，该方法先对期望力矩进行矢量分解并划分优先级，再求解约束最优化问题得到容许控制。相比于伪逆法，所提出的方法可对更大范围的期望力矩返回容许控制，而且当期望力矩不可达时，可以防止系统因执行器饱和而产生输出耦合。将所提出的方法应用到涵道风扇式无人机的控制分配中，仿真及飞行试验验证了该方法的有效性。     

Data processing center of RadioAstron space VLBI project

In this paper, questions on development, implementation, and operation of RadioAstron project Data Processing Center (DPC) are reviewed. The main components of the dedicated DPC are the computer complex with 1 TFlops/s performance, storage with memory capacity of approximately 10 PB, the network infrastructure, and the corresponding communication channels. Performance enhancement methods and resolution of information storage, archiving, and process problems of space VLBI high-speed digital data flows are analyzed. It is shown that successful operation of DPC is mainly provided by optimal organization of computer system structure, storage, and networking transmission. Some of the important key features of RadioAstron project DPC and its comparative differences from the standard VLBI procedures are considered.