A Type-II Fuzzy Logic Fault Detection Strategy Design of Electro-Mechanical Flight Actuators

In this paper, we focus on the design of fault detection strategies for electro-mechanical flight actuators (EMFA) exhibiting strong nonlinearities and uncertain disturbances. We start by building a description of the EMFA dynamics, along with allowing for the effects of system nonlinearities and unknown disturbances. We next construct the system perturbation approximators from the type-II fuzzy logic system (FLS), which is capable of yielding effective estimates of the system’s nonlinear terms and unknown disturbances. In the subsequent step, the resulting estimation errors are incorporated into the fault detection routine to recognize whether or not a fault exists in the EMFA. The stability analysis demonstrates that the perturbation approximator errors are amenable to converge within a small domain around zero. Finally, the effectiveness of the proposed fault detection strategy is confirmed by numerical simulations and discussions.