在X射线脉冲星导航系统中,X射线脉冲星信号累积脉冲轮廓的时间延迟测量精度受到时间尺度伸缩的影响严重。为解决该问题,提高累积脉冲轮廓时间延迟的测量精度,降低运算量,首先分析了X射线脉冲星累积脉冲轮廓特征,建立了一种新的累积脉冲...在X射线脉冲星导航系统中,X射线脉冲星信号累积脉冲轮廓的时间延迟测量精度受到时间尺度伸缩的影响严重。为解决该问题,提高累积脉冲轮廓时间延迟的测量精度,降低运算量,首先分析了X射线脉冲星累积脉冲轮廓特征,建立了一种新的累积脉冲轮廓数学模型。在此基础上,提出了一种基于两级互模糊函数的时间延迟测量算法。该算法可精确表征脉冲星标准轮廓和累积脉冲轮廓之间的尺度差异,可精确估计累积脉冲轮廓和标准轮廓之间的相位差,推导了时间延迟估计的克拉美罗下界。最后,采用美国罗西卫星X射线时变探测器的观测数据进行试验。结果表明,提出的算法不受时间尺度的影响,当信噪比高于26 d B时,时间延迟测量精度逼近克拉美罗下界。与现有的Taylor FFT算法相比,本文提出的算法具有更高的测量精度和更强的适应性,适用于X射线脉冲星导航的工程应用。展开更多
A robust fault detection (RFD) scheme for a class of multi time delay system is proposed in this paper. A time delay unknown input observer (TDUIO) is adopted as the residual generator. The key stage of the TDUIO desi...A robust fault detection (RFD) scheme for a class of multi time delay system is proposed in this paper. A time delay unknown input observer (TDUIO) is adopted as the residual generator. The key stage of the TDUIO design is to find a coordinate change such that in the new coordinates all the time delay terms in the system description are associated with the output only. Then the TDUIO can be completed by the method for common unknown input observer. Thus, a robust residual signal for RFD is generated, which is sensitive to faults while robust against unknown input (disturbance). The proposed method has been verified by a numerical example.展开更多
文摘在X射线脉冲星导航系统中,X射线脉冲星信号累积脉冲轮廓的时间延迟测量精度受到时间尺度伸缩的影响严重。为解决该问题,提高累积脉冲轮廓时间延迟的测量精度,降低运算量,首先分析了X射线脉冲星累积脉冲轮廓特征,建立了一种新的累积脉冲轮廓数学模型。在此基础上,提出了一种基于两级互模糊函数的时间延迟测量算法。该算法可精确表征脉冲星标准轮廓和累积脉冲轮廓之间的尺度差异,可精确估计累积脉冲轮廓和标准轮廓之间的相位差,推导了时间延迟估计的克拉美罗下界。最后,采用美国罗西卫星X射线时变探测器的观测数据进行试验。结果表明,提出的算法不受时间尺度的影响,当信噪比高于26 d B时,时间延迟测量精度逼近克拉美罗下界。与现有的Taylor FFT算法相比,本文提出的算法具有更高的测量精度和更强的适应性,适用于X射线脉冲星导航的工程应用。
基金the National Natural Science Foundation of China (No. 60574081)
文摘A robust fault detection (RFD) scheme for a class of multi time delay system is proposed in this paper. A time delay unknown input observer (TDUIO) is adopted as the residual generator. The key stage of the TDUIO design is to find a coordinate change such that in the new coordinates all the time delay terms in the system description are associated with the output only. Then the TDUIO can be completed by the method for common unknown input observer. Thus, a robust residual signal for RFD is generated, which is sensitive to faults while robust against unknown input (disturbance). The proposed method has been verified by a numerical example.