Identification of Faults in Nonlinear Dynamical Systems and Their Sensors Based on Sliding Mode Observers
Alexey Zhirabok, Alexander Zuev, Oleg Sergiyenko, A. E. Shumsky
Abstract
We consider the problem of fault identification in nonlinear technical systems described by dynamic models and in their sensors in the presence of disturbances. A method based on sliding mode observers is used to solve the problem. A modification of this method is proposed which permits one to expand the family of systems for which the identification problem can be solved by weakening the constraints imposed on the original system. This modification has made it possible to reduce the complexity of diagnostic tools. The results are illustrated by practical examples.
Topics & Concepts
Identification (biology)Nonlinear systemMode (computer interface)Control theory (sociology)Fault (geology)Computer scienceNonlinear dynamical systemsFault detection and isolationDynamical systems theoryNonlinear system identificationControl engineeringSystem identificationEngineeringArtificial intelligenceControl (management)Data miningActuatorPhysicsGeologyBotanyBiologyQuantum mechanicsOperating systemSeismologyMeasure (data warehouse)Fault Detection and Control SystemsAdvanced Control Systems OptimizationControl Systems and Identification