A new intelligent fault-tolerant control for nonlinear systems based on fuzzy learning methodology
Xiaojuan Liu · Journal of Lanzhou University · 2006
This paper presents an intelligent fault tolerant control scheme for a class of nonlinear systems using the learning methodology which is based on adaptive fuzzy logic systems. The whole control scheme proposed is an augment control architecture integrating adaptive fuzzy controller, supervisory controller and accommodating controller. Simulations demonstrated that the presented control scheme can effectively identify and accommodate non-linear unknown faults and the controlled system is stable and robust in uncertainties and faults.