Robust Fault Diagnosis of Nonlinear Systems Based on an Unknown Input Extended Kalman Observer

نویسندگان

  • Linglai Li
  • D. H. Zhou
  • K. D. Liu
چکیده

Unknown input observer is one of the most important strategies for robust fault diagnosis of linear systems. Inspired by the unknown input Kalman filter, we extend it to nonlinear cases as the EKF does. Using this as a nonlinear observer, we prove its convergence under some mild conditions. As a result, a robust FDI strategy for nonlinear systems is obtained. Simulation studies on a three-tank system “DTS200” demonstrate the effectiveness of the proposed approach. Copyright © 2005 IFAC

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تاریخ انتشار 2005