关键词: 不对称高斯基函数, 自适应神经网络, 可靠控制, 歼击机

Abstract: A reliable flight tracking control scheme is developed for a fighter in the presence of control surface failures based on adaptive asymmetric Gaussian basis function network （AGBFN）. An adaptive AGBFN controller is used to augment the linear controller, which can compensate the modeling error, disturbance and unknown control surface failures. The effect of actuator dynamics and limits are treated by using control hedging. The asymmetric Gaussian basis function is used for the proposed full adaptive AGBFN which eliminates the symmetry restriction of traditional RBFN and provides the neurons with higher flexibility. And the tuning rule for updating all parameters of the AGBFN is derived which ensures the stability of the overall system. By the proposed control scheme, the handling qualities of the system are maintained with the improved tracking accuracy. Simulation results show that the proposed method is suited to not only the normal aircraft, but also the fault aircraft.

Key words: asymmetric Gaussian basis function, adaptive neural network, reliable control, fight aircraft