带有不准确测量噪声的最小二乘故障估计（英文）

发布时间：2018-04-24 06:08

本文选题：最小二乘 + 故障估计　；参考：《山东大学学报(工学版)》2017年05期

【摘要】：针对一类带有事件触发测量传输和不准确测量噪声统计特性的系统,研究了最小二乘故障估计及其性能分析。通常情况下,测量噪声的统计特性不是完全已知的。提出一种事件触发机制,当预先设定的条件被破坏即事件被触发时,测量输出会传到远端估计器。在满足使得滤波误差协方差最小的意义下,设计了滤波器,其参数通过最小二乘的方法在线迭代得到,然后进一步分析了带有不准确测量噪声的滤波器性能。最后,利用具有实际背景的数值仿真例子说明了所提算法的有效性以及带有不准确测量噪声对于估计性能的差异影响。
[Abstract]:The least square fault estimation and its performance analysis are studied for a class of systems with statistical characteristics of event triggered measurement transmission and inaccurate measurement noise. In general, the statistical characteristics of measurement noise are not fully known. In this paper, an event trigger mechanism is proposed. When the pre-set condition is broken, that is, the event is triggered, the measurement output is transmitted to the remote estimator. In order to minimize the covariance of filter error, a filter is designed, and its parameters are obtained by the method of least squares. Then the performance of filter with inaccurate measurement noise is further analyzed. Finally, numerical simulation examples with actual background are used to illustrate the effectiveness of the proposed algorithm and the effect of the noise with inaccurate measurement on the estimation performance.
【作者单位】：清华大学自动化系;山东科技大学电气与自动化学院;
【基金】：国家自然科学基金资助项目(NSFC61490701,61290324,61210012,61473163,61522309) 山东省泰山学者优势特色学科人才团队支持计划资助项目(鲁政办字[2015]73)
【分类号】：TN713

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