Title :
Sensor placement for on-orbit modal identification of large space structure via a genetic algorithm
Author :
Yao, Leehter ; Sethares, William A. ; Kammer, Daniel C.
Author_Institution :
Wisconsin Univ., Madison, WI, USA
Abstract :
A variant of the genetic algorithm is used to place sensors optimally on a large space structure for the purpose of modal identification. The selection and reproduction schemes of the genetic algorithm are modified and a new operator called forced mutation is introduced. These changes are shown to improve the convergence of the algorithm and to lead to near-optimal sensor locations. Simulated results are also compared with previous results obtained by the effective independent method. The genetic algorithm based sensor configuration estimates the target mode response more accurately
Keywords :
convergence; detectors; genetic algorithms; identification; large-scale systems; space vehicles; convergence; forced mutation; genetic algorithm; large space structure; on-orbit modal identification; sensor placement; space vehicles; Biological cells; Convergence; Genetic algorithms; Genetic engineering; Genetic mutations; Sensor phenomena and characterization; Sensor systems; Shape; System identification; Testing;
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
DOI :
10.1109/ICSYSE.1992.236889