基于WCFSE-FSVM的转子振动故障诊断方法

为了提高含有噪声和野值的转子振动故障样本诊断精度,提出了基于WCFSE-FSVM的故障诊断方法。充分融合小波相关特征尺度熵(WCFSE)特征提取方法和FSVM故障诊断方法的优点,建立WCFSE-FSVM故障诊断模型。基于转子实验台模拟4种典型故障,获得原始故障数据;并利用WCFSE方法提取这些故障数据的WCFSE值,选取故障信号高频段中的尺度1和尺度2上的小波相关特征尺度熵W1和W2构造出振动信号的故障向量作为故障样本,建立FSVM诊断模型。实例分析显示:WCFSE-FSVM方法的转子故障诊断精度最高,即故障类别诊断精度为94.49%,故障严重程度的诊断精度为95.58%,二者都优于其它故障诊断方法。验证了WCFSE-FSVM方法的可行性和有效性。      

基于FSVM改进隶属度的发动机振动性能分析

为了更有效地掌握航空发动机振动性能的影响因素,提出了改进FSVM信息熵的融合定量分析方法.首先,对模糊支持向量机(FSVM)的模糊隶属度函数进行改进,建立多类模糊隶属度计算模型.再将该方法应用到航空发动机整机振动性能评估,计算出振动故障模式与故障原因之间的权值,建立了一个多参数的发动机振动性能分析模型;并对各类振动原因对发动机整体性能的影响进行定量分析,为发动机的振动抑制提供量化参考指标.最后,通过与实际经验作比较,验证了该方法是可行和有效的.     

流量可调燃气发生器压力闭环模糊控制算法

为了改进流量可调燃气发生器的调节精度,引入燃气发生器压力闭环控制,针对流量可调燃气发生器压力闭环控制特点,在压力闭环中引入了模糊积分控制,此控制算法响应速度快,超调量较小,不同工况及长时间工作下系统仍然有较好的动态特性.     

Demonstration of a high sensitivity GNSS software receiver for indoor positioning

Advances in signal processing techniques contributed to the significant improvements of GNSS receiver performance in dense multipath environments and created the opportunities for a new category of high-sensitivity GNSS (HS-GNSS) receivers that can provide GNSS location services in indoor environments. The difficulties in improving the availability, reliability, and accuracy of these indoor capable GNSS receivers exceed those of the receivers designed for the most hostile urban canyon environments. The authors of this paper identified the vector tracking schemes, signal propagation statistics, and parallel processing techniques that are critical to a robust HS-GNSS receiver for indoor environments and successfully incorporated them into a fully functional high-sensitivity software receiver. A flexible vector-based receiver architecture is introduced to combine these key indoor signal processing technologies into GSNRx-hs™ – the high sensitivity software navigation receiver developed at the University of Calgary. The resulting receiver can perform multi-mode vector tracking in indoor environment at various levels of location and timing uncertainties. In addition to the obvious improvements in time-to-first-fix (TTFF) and signal sensitivity, the field test results in indoor environments surrounded by wood, glass, and concrete showed that the new techniques effectively improved the performance of indoor GNSS positioning. With fine GNSS timing, the proposed receiver can consistently deliver indoor navigation solution with the horizontal accuracy of 2–15 m depending on the satellite geometry and the indoor environments. If only the coarse GNSS timing is available, the horizontal accuracy of the indoor navigation solution from the proposed receiver is around 30 m depending on the coarse timing accuracy, the satellite geometry, and the indoor environments. From the preliminary field test results, it has been observed that the signal processing sensitivity is the dominant factor on the availability of the indoor navigation solution, while the GNSS timing accuracy is the dominant factor on the accuracy of the indoor navigation solution.     

基于模糊策略的高速飞行器滑模控制律设计

以通用高超声速飞行器GHV为研究对象,针对其俯仰通道设计了具有良好鲁棒性的飞行控制系统.为了便于应用滑模控制理论,对该模型进行了输入输出反馈线性化,将其转换成仿射型.鉴于鲁棒性与抖振的矛盾,基于指数趋近律完成了滑模控制律结构设计,进而采用了模糊控制理论改进指数趋近律.基于遗传算法完成了所有控制参数的设计,确定了模糊逻辑...     

再入机动飞行器自适应轨迹线性化控制

针对一类多输入多输出模型不确定系统,提出了一种基于广义模糊神经网络的自适应轨迹线性化控制方法(ATLC).针对再入机动飞行器(MRV)进行了控制器设计和分析.MRV气动参数存在较大的不确定,这会导致轨迹线性化控制器(TLC)鲁棒性能下降.利用广义模糊神经网络(G-FNN)在线补偿系统的非线性建模不确定,改善了控制器性能.基于Lyapunov稳定性理论,证明了ATLC闭环控制系统的稳定性.仿真结果表明自适应轨迹线性化控制系统在飞行器气动参数大范围摄动时仍具有鲁棒性和稳定性,验证了所提出的控制策略的有效性.     

客观多因素权重分配方法及其应用

综合模糊聚类技术和粗糙集理论中的信息熵原理,提出了一种多因素决策中确定各因素权重分配的新方法.利用模糊聚类分析对数据进行聚类,并提取最佳聚类;基于粗糙集中信息熵原理确定各因素的权重分配.算例结果表明:方法合理有效,具一定的可行性.     

Control of approach and landing phase for reentry vehicle using fuzzy logic

The reentry vehicle is affected by various disturbances such as a wind gust, atmospheric condition or aerodynamic problems in the approach and landing phase. Therefore it is necessary to design a robust control scheme. This paper presents a control scheme using Mamdani fuzzy PD controller. In this paper, the reference trajectories are generated using geometric parameters for disturbed circumstances with 4 cases: nominal, headwind and tailwind, drag increased case. Then, a Mamdani fuzzy PD controller was designed in this study. Twenty-five rules were applied in the knowledge-based system. The max–min method for a fuzzy inference system and the center-of-mass method in defuzzification were used. Finally, guidance and control simulations are performed for verification of proposed controller using generated reference trajectories. In addition, the Monte Carlo simulation is performed considering various disturbances. The results show that proposed Mamdani fuzzy PD controller has reliability and robustness for control of reentry vehicle with wind disturbance in the approach and landing phases.     

确定无陀螺卫星姿态的二阶非线性滤波算法研究

应用基于二阶泰勒级数近似得到的非线性滤波技术，设计了利用星敏感器矢量观测信息确定无陀螺三轴稳定卫星姿态的二阶非线性滤波算法，结合矢量观测的特点，分别讨论了单矢量观测信息与多矢量观测信息的处理方法，并把QUEST算法作为矢量观测数据压缩技术有效地结合进姿态估计器中，使得多矢量观测情况下的滤波修正算法得到了简化，仿真测试结果证明，二阶非线性姿态估计器的滤波性能要优于的扩展卡尔曼滤波姿态估计算法。     

水声驻波声管在矢量水听器校准技术中的应用

水声声管在低频水声测量中的应用十分广泛,不仅可以用来校准低频水声换能器,还可以用作水声材料及其构件的声学参数测量。随着矢量水听器研究工作的不断发展,在水声驻波声管中更加大了对质点振速的测量研究。在回顾了矢量水听器校准技术的发展历程和研究现状的基础上,对影响矢量水听器校准技术的因素进行了分析,同时给出了相应的研究成果,包括采用驻波管比较校准方法时,由于标准声压水听器和被测矢量水听器的置放方式引起的灵敏度校准结果高频失真,以及由于矢量水听器悬挂结构影响导致出现的灵敏度校准结果低频失真,并且对矢量水听器技术未来的发展方向进行了展望。