Title :
Optimal Sensor Deployment for Satellite Antenna Reflector Based on Genetic Algorithm
Author :
Li, Wenbo ; Zhou, Xiangyi ; Wang, Li ; Wang, Youyi ; Zhao, Zhigang ; Zhao, Yang
Author_Institution :
Dept. Aerosp. Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
In the problem of optimal sensor deployment for satellite antenna reflector, to avoid the one-sidedness of single-objective criterion, in this paper, we adopt double-objectives criterion, which contains the largest orthogonality and the highest vibration energy of observed signal. The double-objectives criterion is converted to single-one criterion by mathematical transformation and Genetic Algorithm is utilized to solve this problem. Comparing with corresponding single-objective criterion by simulation results, we conclude that: the proposed method is a feasible method of optimal sensor deployment for satellite antenna reflector based on double-objectives criterion. The results, whose fitness function is a function based on double-objectives criterion, is not one-sided optimal solution in single objective, but a satisfying solution in global area. According to the application in real project, this satisfying solution is more significant in the area of astronautics.
Keywords :
genetic algorithms; reflector antennas; satellite antennas; vibrations; astronautics; double-objectives criterion; fitness function; genetic algorithm; mathematical transformation; observed signal; one-sided optimal solution; one-sidedness; optimal sensor deployment; orthogonality; real project; satellite antenna reflector; single objective; single-objective criterion; vibration energy; Genetic algorithms; Optimization; Reflector antennas; Satellite antennas; Satellites; Signal to noise ratio; Vectors; multi-objectives optimization; on-orbit modal identification; satellite antenna; sensor deployment;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1085-8
DOI :
10.1109/ISCID.2011.116