Robust Adaptive Control of Missiles Based on Fuzzy RBF Neural Network

Aiming at the robust control problem of low static stability missiles in the process of large angle of attack flight, a robust adaptive control method based on fuzzy RBF neural network is designed. Firstly, a linear uncoupled dynamics model of a single-channel missile is established; secondly, a fuzzy RBF neural network is used to fit the dynamics model of a single-channel missile, and a control system based on the angle-of-attack feedback and acceleration feedback is designed; the stability of the control system is proved to be stable through the Lyapunov stability analysis and the tracking error is within the preset boundaries; and finally, a simulation is carried out to verify the control method. The results show that the control method based on fuzzy RBF neural network has high control accuracy, adaptability and robustness....