Fuzzy differential evolution identification method of flight control surface faults

In order to improve the accuracy of flight control surface fault identification, this paper proposed a fuzzy differential evolution fault diagnosis scheme. Considered the characteristic of high dimension and large samples for failure data, encoded clustering center by differential evolution algorithm in order to improve global precision and stability of the proposed algorithm. Applied the proposed scheme to flight control surface fault identification. The results show that the proposed method can effectively identify control surface failures. Besides, the described method is more simple and robust.