Title of article :
Optimization of Determinant Factors of Satellite Electrical Power System with Particle Swarm Optimization (PSO) Algorithm
Author/Authors :
Biglarahmadi، Mojtaba نويسنده Malek Ashtar University of Technology, Esfahan, Iran , , Badjani، S. M. Mousavi نويسنده Malek Ashtar University of Technology , , Nahari، Ali نويسنده Iranian Gas Transmittion. Co., District 10, Bushehr, Iran , , Mousavi، S. A. نويسنده University of Science and Technology, Tehran ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Abstract :
Weight and dimension, cost, and performance are determinant factors for design, fabrication, and launch the satellites which are related to the mission type of the satellites. Each satellite includes several subsystems such as Electrical Power Subsystem (EPS), Navigation Subsystem, Thermal Subsystem, etc. The purpose of this paper is to optimize these determinant factors by Particle Swarm Optimization (PSO) algorithm, for Electrical Power Subsystem. This paper considers the effects of selecting various types of Photovoltaic (PV) cells and batteries on weight and dimension, cost, and performance of the satellite. We have used two various types of PVs and two various type of batteries in optimization of the Electrical Power Subsystem (EPS).
Journal title :
International Journal of Electronics Communication and Computer Engineering
Journal title :
International Journal of Electronics Communication and Computer Engineering