Abstract:

A new fault diagnosis approach based on fault tracking approximator for linear systems is proposed. Firstly, an adjustable parameter, named virtual fault, is introduced to construct the fault tracking approximator. Then, an iterative learning algorithm is desgined and the virtual fault within the time span is adjusted by using the iterative algorithm in order to estimate the system faults. The proposed algorithm can not only detect the system faults and estimate the fault function simultaneously, but also diagnose different kinds of faults. Finally, an example for the vertical takeoff and landing aircraft is presented to illustrate the feasibility and effectiveness of the proposed approach.