1. A Closed Form Neural Network Initial Guidance Law for Maneuverable Reentry Vehicle
- Author
-
Xu Min, Hu Ying, Wan Zi-ming, Chen Gang, and Chen Shi-lu
- Subjects
Engineering ,Artificial neural network ,Robustness (computer science) ,business.industry ,Control theory ,Law ,Feed forward ,PID controller ,Control engineering ,Reentry ,Feedback controller ,business ,Neural network controller - Abstract
Put forward a closed form initial guidance law based on feed forward and feedback neural network control for finite propulsive maneuverable reentry vehicle . Minimum energy trajectories was generated by genetic algorithm, which used as training samples of three tiers feed forward BP neural network controller. A neural PID controller acts as a sate feedback controller compensating the control errors of feed forward controller . Simulating results indicate the efficiency, robustness and adaptiveness of the closed form nerual guidance law.
- Published
- 2006