A novel fault detection and identification (FDI) scheme based on sliding mode observer (SMO) residual generator and state machine residual evaluator is presented in this paper. The FDI scheme is applied to actuator and sensor faults in a vehicle chassis steering system described by a nonlinear bicycle model with three degrees of freedom. Primary residual is generated by an expanded SMO designed for linear time varying (LTV) systems. To cope with the multiple faults isolation problem, the state machine records and utilizes the previous fault information to determine the current fault state. Simulation results show that multiple fault detection and isolation can be successfully achieved by the proposed SMO and state-machine-based FDI scheme.
Sliding Mode Observer and State-Machine-Based Fault Diagnosis With Application in a Vehicle Chassis Steering System
Department of Automotive Engineering,
Campbell Graduate Engineering
Center Research Drive,
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received September 7, 2011; final manuscript received October 27, 2012; published online May 8, 2014. Assoc. Editor: Xubin Song.
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Zhang, X., and Pisu, P. (May 8, 2014). "Sliding Mode Observer and State-Machine-Based Fault Diagnosis With Application in a Vehicle Chassis Steering System." ASME. J. Dyn. Sys., Meas., Control. July 2014; 136(4): 041026. https://doi.org/10.1115/1.4026956
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