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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   

  1. 浙江大学工业控制技术国家重点实验室控制科学与工程学系,杭州,10027
  • 出版日期:2012-06-25 发布日期:2012-08-22

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[J]. 系统科学与数学, 2012, 32(6): 791-798.

LIU Bin, XU Zhengguo. A NEW REAL-TIME SENSOR DRIFT PERFORMANCE DEGRADATION MONITOR METHOD FOR NON-LINEAR SYSTEMS BASED ON PARTICLE FILTER[J]. Journal of Systems Science and Mathematical Sciences, 2012, 32(6): 791-798.

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

LIU Bin, XU Zhengguo   

  1. State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027
  • Online:2012-06-25 Published:2012-08-22
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.
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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