Abstract:

A neural networks controller(NNC) is designed for the post stall supermaneuverable flight. The NNC is composed of an inside loop controller and an outside loop one in accordance with the two time scale. The networks are trained by the fast BP algorithm via fuzzy variables decision, and training samples are provided by the dynamic inversion control results. This NNC is utilized by way of associative memory. Simulation results demonstrate that the designed system has good performance.

Key words: neural nets, dynamic control, attack aircraft