基于模糊奇偶方程的PL/INS导航系统故障诊断

提出了一种伪卫星(PL, Pseudolite)/惯性导航(INS, Inertial Navigation System)组合导航系统多故障识别方法.分析了PL的常见故障及其数学模型,采用模糊奇偶方程方法对PL的常见故障进行诊断、隔离和参数识别.采用Takagi-Sugeno(T-S)模糊模型描述PL/INS组合导航系统,对于局部线性化模型建立全解耦奇偶方程,并对奇偶方程的残差进行融合,得到全局残差.结合残差利用卡尔曼滤波进行故障参数识别,给出了参数识别的约束条件.仿真结果表明:针对导航系统中多个PL信号同时发生多种故障的情况,此方法能有效检测故障,并能准确识别出故障模型参数.      

基于动态观测器的多故障诊断技术的应用研究

针对卫星这类复杂系统多故障诊断的难题,研究了一种基于动态观测器的多故障诊断方法.该方法通过改变动态观测器的结构,使之对某一故障具有鲁棒性,从而简化了设计一族观测器的复杂性.给出了动态观测器的设计方法和多故障诊断策略,并在某卫星姿控系统中进行了仿真应用.仿真结果表明,适用于复杂系统的多故障诊断与分离,并可实现诊断的实时性.     

可修复系统故障率分析

考虑维修对可修复系统可靠性的影响,提出了可修复系统故障率的概念及其分析模型,并对其进行了定义与量化.同时论述了它与无维修情况下的故障率和故障强度函数之间的关系.在此基础上,分析了可修复系统常见维修模型下故障率的变化规律,导出了计算公式,给出了变化趋势图,得出了可修复系统故障率分析的一般方法.      

基于改进时频谱分析方法的滚动轴承复合故障诊断

将基于循环平稳理论及2阶循环统计量的谱相关或谱相关密度分析方法加以改进，提出一种时频分析方法并将其用于滚动轴承发生复合故障时调制现象循环调制频率即故障特征频率的提取。通过对滚动轴承复合故障的仿真及实际实验振动数据进行分析，结果表明:与同时提取出调制频率和载频的传统包络解调谱分析方法不同，改进的谱分析方法可以只提取出调制频率，提取的谱结构分布具有更清晰的表达效果，从而为滚动轴承的复合故障特征提取提供一种方法。      

Adaptive sliding mode fault-tolerant control for satellite attitude tracking system

In this paper, an adaptive modified sliding mode control approach is developed for attitude tracking of a nano-satellite with three magnetorquers and one reaction wheel. A sliding variable is chosen based on finite-time convergence of the nano-satellite attitude tracking error and avoiding the singularity of the control signal. The control gain of the proposed method is developed adaptively to reduce the tracking error and improve the closed-loop control performance. The sliding variable and adaptive parameter are also employed in the reaching phase of the control law to decrease the chattering phenomenon. In addition, the finite-time convergence of attitude variables in the presence of actuator faults, inertia uncertainty, and external disturbances is proved using the extended Lyapunov theorem. The simulations are conducted to evaluate the performance of the proposed method according to different evaluation criteria. Monte Carlo simulations are also used to survey the reliability of the system in the presence of the mentioned condition.