Title :
Performance enhancement of a missile autopilot via genetic algorithm optimization techniques
Author :
Hull, Richard A. ; Johnson, Roger W.
Author_Institution :
Inst. for Simulation & Training, Central Florida Univ., Orlando, FL, USA
fDate :
29 June-1 July 1994
Abstract :
The objective of this study is to demonstrate that genetic algorithm optimisation techniques can be successfully applied to enhance the performance of a typical linear quadratic missile autopilot controller design by incorporating several combinations of performance goals and constraints.
Keywords :
genetic algorithms; linear quadratic control; missile guidance; navigation; LQ controller; genetic algorithm; linear quadratic control; missile autopilot; optimal control; optimization; performance enhancement; Aerodynamics; Algorithm design and analysis; Control systems; Design optimization; Feedback control; Genetic algorithms; Hydraulic actuators; Missiles; Robust stability; System performance;
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
DOI :
10.1109/ACC.1994.752357
