一种新的非线性系统传感器漂移性能退化实时监测方法

刘斌,徐正国

系统科学与数学 ›› 2012, Vol. 32 ›› Issue (6) : 791-798.

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PDF(441 KB)
系统科学与数学 ›› 2012, Vol. 32 ›› Issue (6) : 791-798. DOI: 10.12341/jssms11907
论文

一种新的非线性系统传感器漂移性能退化实时监测方法

    刘斌,徐正国
作者信息 +

A NEW REAL-TIME SENSOR DRIFT PERFORMANCE DEGRADATION MONITOR METHOD FOR NON-LINEAR SYSTEMS BASED ON PARTICLE FILTER

    LIU Bin, XU Zhengguo
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摘要

随着传感器使用时间的增加, 其测量值会发生漂移,且漂移程度会随时间的增加而增大.针对非线性系统中的传感器漂移性退化现象,基于改进的粒子滤波算法,提出了传感器漂移性能退化实时监测方法.该方法通过实时估计漂移量来实现对系统状态的估计,能够检测并跟踪动态系统中传感器性能退化过程,为系统安全运行提供保障.基于三容水箱系统的仿真验证了该方法的有效性.

Abstract

While a sensor is in service, its measurement value can drift, and the drift value will increase with time increasing. For the performance degradation of a  ensor in a non-linear system, based on modified particle filtering algorithm, this paper proposes a method to monitor sensor’s performance degradation in real time. The system states are estimated on the basis of real-time estimation of drift. The proposed method can detect and track degradation process of a sensor in a dynamic system, and provides safeguard for the operation of dynamic system. Simulation results varify the effectiveness of the proposed method.

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刘斌,徐正国. 一种新的非线性系统传感器漂移性能退化实时监测方法. 系统科学与数学, 2012, 32(6): 791-798. https://doi.org/10.12341/jssms11907
LIU Bin, XU Zhengguo. A NEW REAL-TIME SENSOR DRIFT PERFORMANCE DEGRADATION MONITOR METHOD FOR NON-LINEAR SYSTEMS BASED ON PARTICLE FILTER. Journal of Systems Science and Mathematical Sciences, 2012, 32(6): 791-798 https://doi.org/10.12341/jssms11907
中图分类号: 93E10   
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