Patent ID: 8160770

Claim:
A method of detecting at least one oscillatory fault in at least one positional slaving chain for at least one airfoil of an aircraft, said slaving chain comprising: at least one mobile airfoil; at least one actuator that adjusts position of said at least one mobile airfoil, as a function of at least one received actuation command; at least one sensor which measures actual position of said at least one mobile airfoil; and a computer which receives information from an airfoil control command, receives said measured airfoil position information from said at least one sensor, calculates from the received airfoil control command information and the received measured airfoil position information an actuation command, and transmits the actuation command to said actuator, wherein the method comprises the successive steps of: a) estimating a reference position of said airfoil in absence of a fault; b) calculating a residual value based on the difference between said reference position estimated in step a) and the actual position measured by said at least one sensor; c) comparing the residual value with at least one predetermined threshold value to determine a count based on number of successive and alternating overshoots of said predetermined threshold value by said residual value; and d) determining oscillatory fault based on said count being greater than a predetermined number, wherein in step a): estimation of the reference position is based on a model represented in the form of an augmented non-linear state representation, which comprises a state equation and an observation equation; during an initialization phase: an augmented state vector and its covariance matrix are initialized, said augmented state vector containing said theoretical position and said parameters to be estimated; adjustment parameters which represent covariance matrices of noise illustrating phenomena not modeled in said model are initialized; and during a subsequent phase, the following successive operations α, β, γ and δ are carried out in an iterative manner: α for an arbitrary iteration k, the observation equation is updated a posteriori; β a Cholesky factorization of the covariance of the a posteriori estimation error and a prediction of the state vector at iteration k are carried out; γ the state vector is updated a priori; and δ the state vector is estimated a priori so as to obtain an estimation of said reference position and of said parameters.