Title :
Gain scheduling optimization by genetic algorithms
Author :
Martin, Robert C., IV ; Kramer, Stuart C.
Author_Institution :
Air Force Wright Lab., Wright-Patterson AFB, OH, USA
Abstract :
Gain scheduling is a simple and common means of providing adaptive control by varying controller parameters based on measurements of key system variables. While some theoretical foundation has been developed, it remains largely ad hoc, particularly in selecting the mapping from the measured variable to the controller parameter. This paper reports the results of applying genetic algorithms to the optimization of a simple gain scheduled controller
Keywords :
adaptive control; dynamics; feedback; gain control; genetic algorithms; scheduling; adaptive control; controller parameters; dynamics; feedback; gain scheduling; genetic algorithms; mapping; optimization; Adaptive control; Aerodynamics; Control systems; Dynamic scheduling; Extraterrestrial measurements; Force measurement; Genetic algorithms; Optimization methods; Space technology; Switches;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.532073
