Active fault tolerant control based on a fuzzy system applied to a turbocharger

In this work the approach of active fault tolerant control system applied to a turbocharger is proposed. Where the main aim is the development of synthesis of this control in the fault diagnosis. The control approach developed in this work is based on a fuzzy approach for the detection and the isolation of faults affecting the studied turbocharger. Whereas, the linear sliding mode control theory is used to stabilize the dynamic behavior of a linear multiple input multiple output system (Power turbocharger). On the other side, it is proved that the main pros in this kind of control is the discontinuity behavior which can be applied to the uncertainties systems. The advantage of this approach lies in the possibility to simultaneously estimate the state of the system as well as the faults affecting the system.