JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2017, Vol. 47 ›› Issue (5): 7-14.doi: 10.6040/j.issn.1672-3961.0.2017.173

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A fault filtering method based on an improved extended state filter for nonlinear system

LI Wei1,2, WANG Kehong1,2*, CAO Huichao1,2   

  1. 1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, Gansu, China;
    2. Key Lab of Advanced Control for Industrial Process in Gansu Province, Lanzhou 730050, Gansu, China
  • Received:2017-02-10 Online:2017-10-20 Published:2017-02-10

Abstract: Aiming at the problem of the linearization error and filtering divergence for traditional fault diagnosis method of nonlinear system, a new fault diagnosis method was studied for a class nonlinear system with the measurement noise and actuator fault of time-varying. A new extended state including the nonlinear dynamic and fault of the system was constructed, and a class of the filter containing expansion stateis was constructed for fault diagnosis. The sufficient conditions of the augmented system were presented, meanwhile, the design method of the fault diagnosis filter with the robust H performance was given. And the filter and diagnosis of the fault could be implemented by the fault isolation for the new extended state, among the known nonlinear dynamic of the original system. Based on the Van der pol oscillator that was typical nonlinear system with measurement noise, the simulation study for the constant value and time-varying failure condition was performed. The results showed that the proposed method could better solve noise filtering and the fault diagnosis problem of nonlinear systems.

Key words: extended state filter, measurement noise, fault isolation, nonlinear system, fault diagnosis

CLC Number: 

  • U226.8+1
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