The invention discloses a fault detection, diagnosis and performance evaluation method for a redundant
aileron actuator. According to the method, fault detection, diagnosis, evaluation and real-time detection of the
actuator are performed by means of an input order
signal, an output displacement
signal, a force motor current
signal and aerodynamic loading data of the
actuator; the fault detection is realized by a two-stage neural network, a first neural network is used as a
system observer and is matched with actual output to acquire a residual error, and a second neural network outputs a self-adaptive threshold value synchronously; the fault detection is realized by the
system observer and a force motor current observer; a
time domain feature is extracted from a residual
error signal and output to a self-organizing mapping neural network, and a minimum quantization error is acquired and normalized to a health degree, so that the actuator performance is evaluated; and on the basis of fault detection, the aerodynamic loading data is introduced, by means of a specific input order spectrum, the
system observer and the neural network with the self-adaptive threshold value are trained, and the real-time fault detection is realized.