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所属单位：自动化学院

发表刊物：Proc. Chin. Control Decis. Conf., CCDC

摘要：This paper proposed a neuro-adaptive sliding mode fault-tolerant control (NASMFTC) method for the problem of actuator control gain loss fault in hypersonic vehicles. Described as the elevator yaw angle and the engine throttle setting valve fault. The controller combines the robust adaptive algorithm with the radial basis function (RBF) based neural network (NN) method for the hypersonic vehicle longitudinal motion model. The proposed fault-tolerant control method has the following advantages: 1. No need to estimate the value of the actuator fault; 2. The designed control algorithm is simple in structure and does not require a large amount of online calculation, can quickly deal with the occurrence of faults; 3. Can ensure that the system still has the ability to stably track in the case of constant or time-varying actuator faults. The final simulation experiment verifies the effectiveness of the proposed method. © 2019 IEEE.

是否译文：否

发表时间：2019-06-01

合写作者：Ping, Zhu,江驹,Chaojun, Yu,Chengyu, Wen

通讯作者：朱陈平