Robust H∞ controller design for attitude stabilization of flexible spacecraft with input constraints

This paper addresses the attitude stabilization and vibration suppression problem for flexible spacecraft subject to model parameter uncertainty, controller perturbations, external disturbances and input constraints. The attitude model of flexible spacecraft is described and converted into a state space form in terms of passive and active vibration suppression schemes. A novel state feedback controller is proposed based on the exactly available expectation of a new variable, which is introduced to model a randomly occurring controller gain perturbation. Based on Lyapunov stability theory, sufficient conditions for the existence of the nonfragile H_∞ controller considering input constraints are given based on linear matrix inequalities (LMIs) in terms of additive perturbation and multiplicative perturbation. Then, the developed controller subject to required constraints can be obtained, where the nonfragile property is fully considered to improve the tolerance to uncertainties in the controller. Numerical simulations are performed to demonstrate the effectiveness and superiority of the proposed control strategy in attitude stabilization and vibration suppression, where it should be noted that the passive vibration suppression scheme is superior for high natural frequencies while the active vibration suppression scheme is superior for low natural frequencies. Moreover, the low natural frequencies have more influence on the performance of attitude stabilization and vibration suppression.     

Spiking-free HGO-based DSC for flexible joint manipulator

The tracking control problem for Flexible Joint Manipulator Control System(FJMCS)with unmeasurable states is addressed in this paper. Firstly, a High-Gain Observer(HGO) is constructed to estimate the unmeasurable states and the uncertainties. Then, a Dynamic Surface Control(DSC) scheme is developed by using the estimation of HGO. The newly proposed controller has two advantages over the existing methods:(A) a novel Spike Suppression Function(SSF) is developed to avoid the estimation spike proble...     

LPV modeling and controller design for body freedom flutter suppression subject to actuator saturation

In recent years, the Active Flutter Suppression (AFS) employing Linear Parameter-Varying (LPV) framework has become a hot spot in the research field. Nevertheless, the flutter suppression technique is facing two severe challenges. On the one hand, due to the fatal risk of flight test near critical airspeed, it is hard to obtain the accurate mathematical model of the aeroelastic system from the testing data. On the other hand, saturation of the actuator may degrade the closed-loop performance, which was often neglected in the past work. To tackle these two problems, a new active controller design procedure is proposed to suppress flutter in this paper. Firstly, with the aid of LPV model order reduction method and State-space Model Interpolation of Local Estimates (SMILE) technique, a set of high-fidelity Linear Time-Invariant (LTI) models which are usually derived from flight tests at different subcritical airspeeds are reduced and interpolated to construct an LPV model of an aeroelastic system. And then, the unstable aeroelastic dynamics beyond critical airspeed are ‘predicted’ by extrapolating the resulting LPV model. Secondly, based on the control-oriented LPV model, an AFS controller in LPV framework which is composed of a nominal LPV controller and an LPV anti-windup compensator is designed to suppress the aeroelastic vibration and overcome the performance degradation caused by actuator saturation. Although the nominal LPV controller may have superior performance in linear simulation in which the saturation effect is ignored, the results of the numerical simulations show that the nominal LPV controller fails to suppress the Body Freedom Flutter (BFF) when encountering the actuator saturation. However, the LPV anti-windup compensator not only enhances the nominal controller’s performance but also helps the nominal controller to stabilize the unstable aeroelastic system when encountering serious actuator saturation.     

复合材料干涉连接钉载分配研究

复合材料在飞机机体主承力结构中的使用越来越广泛,间隙连接使复合材料许用应变值难以发挥,影响了接头效率,为此提出采用用于复合材料结构的干涉连接紧固系统,以使孔周应力状态和应力集中系数得以改善,提高连接接头的钉载分配能力和结构抗载能力。     

一种简化的机载MIMO雷达杂波特征相消器

针对机载多输入多输出(MIMO)雷达杂波抑制问题,提出一种简化的杂波特征相消器(EC).根据杂波在空时二维平面的先验分布离线构造杂波子空间.以此替代由协方差矩阵特征值分解(EVD)得到的杂波子空间,从而将最优权简化为一个确知投影矩阵与目标信号空时二维导向矢量的乘积,避免了传统EC方法中复杂的协方差矩阵估计和EVD运算,...     

InSAR卫星编队构型的e/i矢量设计方法

根据编队合成孔径雷达干涉（InSAR）卫星的轨道特点和星间紧密编队的特性,引入e/i矢量概念,推导了用e/i矢量表示的编队卫星相对运动学方程,分析了在满足测量基线条件和星间距离条件下编队构型设计约束,并给出了能实现全球测量的编队构型设计结果。对获得的编队飞行轨道参数的数学仿真结果表明：设计的编队构型正确。     

基于深度学习的SAR图像质量提升方法研究

提升合成孔径雷达(SAR)图像质量以增强其可判读性,一直是SAR图像处理中的关键问题。近年来,深度学习在光学图像处理中取得显著的成功,并逐步应用到SAR图像质量提升领域。对深度学习在SAR图像质量提升中的关键应用进行综述,对深度学习在SAR图像质量提升中采用的典型网络进行了介绍,并从SAR图像旁瓣抑制、超分辨(SR)处理和图像融合3个方面对深度学习的应用进行阐述。最后,分析与探讨了基于深度学习的SAR图像质量提升中的关键问题及进一步研究方向。     

降噪技术在瞬态应变测试中的应用研究

主要研究在瞬态环境下应变测试的干扰问题。文章从硬、软两个方面入手,讨论了在爆轰环境下出现的一些典型的干扰现象,分析了干扰源及干扰引入途径,并通过设计改进电路、系统的接地、屏蔽等方法提出了抗干扰措施。采用了小波分析和数字滤波等数字信号处理方法来解决信号的降噪问题。     

电子电位差计的干扰来源及抗干扰措施

介绍了电子电位差计干扰的来源、种类及应采取的抗干扰措施。     

TSC式消弧线圈的涌入电流及其抑制

电容器涌入电流的抑制,是TSC式消弧线圈设计中要考虑的一个重要问题。文章对TSC式消弧线圈的工作原理和运行特点进行了分析,对电容器投入电网运行时的涌入电流分两种情况进行了研究,得出了TSC式消弧线圈涌入电流的计算方法。最后给出抑制涌流的两种方法—零压差投入和串联扼流线圈。