Title :
Statistical risk estimation for communication system design: Development of optimization frameworks
Author :
Babuscia, Alessandra ; Kar-Ming Cheung ; Miller, David W.
Author_Institution :
Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
The design of a spacecraft is an evolutionary process that starts from requirements and evolves over time across different design phases. During this process, a lot of changes can happen. They can affect mass and power at component level, at subsystem level, and even at system level. Each spacecraft has to meet overall constraints in terms of mass and power: for this reason, it´s important to be sure that the design does not exceed these limitations. Current practice in system modeling deals with this problem by allocating margins on single components and on each of the subsystems. However, a statistical characterization of these fluctuations in mass and power is missing, and the consequence is a design that either is too risky and does not fit the mission constraints, or is too conservative and generates an inefficient utilization of resources.
Keywords :
aircraft communication; evolutionary computation; fluctuations; optimisation; space vehicles; statistical analysis; communication system design; component level; evolutionary process; mass fluctuations; optimization frameworks; power fluctuations; resource utilization; spacecraft design; statistical characterization; statistical risk estimation; subsystem level; Estimation; Interviews; Kernel; Optimization; Power demand; Satellites; Space vehicles;
Conference_Titel :
Aerospace Conference, 2013 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4673-1812-9
DOI :
10.1109/AERO.2013.6497327