Method of Fault Identification in Nonlinear Systems Based on Optimal Control Methods

The problem of fault estimation in nonlinear dynamic systems under external disturbances is studied. To solve the problem, the methods of optimal control are employed based on transformation of the original system into a reduced model sensitive to faults and insensitive to the disturbances. Unlike sliding-mode observers, which are traditionally used to solve this problem, the proposed approach avoids the need for high-frequency switching. The developed theory is illustrated with the example.