Design of Neural-Adaptive Nonlinear Autopilot for BTT Missile
Weimin Li
Abstract
Weimin Li
Abstract
Aiming at the BTT missile flight control problem,a designing Method of nonlinear autopilot with approximate dynamic inversion and neural network theory is put forward.The neural-adoptive dynamic inverse control law is given at first,the model of BTT missile is established,and the structure of neural-adapt inverse control system is designed then,the control effect is analyzed by simulation in the end,and the simulation result has demonstrated the designed autopilot is provided with higher precision and better robustness in the course of the entire missile flight control.
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Aiming at the BTT missile flight control problem,a designing Method of nonlinear autopilot with approximate dynamic inversion and neural network theory is put forward.The neural-adoptive dynamic inverse control law is given at first,the model of BTT missile is established,and the structure of neural-adapt inverse control system is designed then,the control effect is analyzed by simulation in the end,and the simulation result has demonstrated the designed autopilot is provided with higher precision and better robustness in the course of the entire missile flight control.
Key concepts: Autopilot, Missile, Control theory (sociology), Robustness (evolution), Artificial neural network, Nonlinear system, Control engineering, Computer science