Title :
Neural model reference adaptive control and application to a BTT-CLOS guidance system
Author :
Lightbody, Gordon ; Irwin, George W.
Author_Institution :
Dept. of Electr. & Electron. Eng., Queen´´s Univ., Belfast, UK
fDate :
27 Jun-2 Jul 1994
Abstract :
In this paper a structure for a direct neural adaptive control scheme is proposed, along with a number of possible techniques with which such a controller could be trained. Finally, a case study example is presented in which a direct neural network controller was developed to improve the control of a bank-to-turn, command-to-line-of-sight (BTT-CLOS) missile. Results from simulation studies are presented to demonstrate the effectiveness of the new technique
Keywords :
adaptive control; closed loop systems; missile guidance; model reference adaptive control systems; neural nets; neurocontrollers; BTT-CLOS missile guidance system; closed loop system; direct neural MRAC; model reference adaptive control; neural adaptive control; nonlinear sensitivity modelling; Adaptive control; Control engineering; Control systems; Force control; Function approximation; Gain; Neural networks; Pattern recognition; Programmable control; Stability;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374601
