Session
Technical Session I: The Horizon
Abstract
The satellite cost models developed based on total mass has been more widely used in the past, but many limitations often make them difficult to apply or achieve desired accuracy. In addition, the compounded errors of such models are further increased by the variety of the missions that these systems are designed to perform. For the new cost model presented in this paper, the scope of the proposed cost model has been limited to earth observation satellites. These systems are further divided into EO (electro-optical) and SAR (synthetic-aperture radar) satellites. The proposed model can be applied to satellites with masses ranging from 100 to 1000 kg for EO satellites, and less than 5000 kg for SAR satellites. In order to overcome the limitations of the mass-based prediction models, the performance parameter was selected as the variable in a form of System Complexity Index (SCI). Cost Correction Relationship (CCR) is also applied to the cost model to increase the accuracy of the model. The resulting Cost Estimation Relationship (CER) shows that the proposed cost model provides much more accurate results in predicting the development cost of these satellites. The paper describes how the parameters were chosen and applied, discusses details of the proposed cost model, and shows application and results of the model as applied to other conceptual design cases.
Presentation Slides
Development of Multiple Parameter-based Cost Model for Small Earth Observation Satellite
The satellite cost models developed based on total mass has been more widely used in the past, but many limitations often make them difficult to apply or achieve desired accuracy. In addition, the compounded errors of such models are further increased by the variety of the missions that these systems are designed to perform. For the new cost model presented in this paper, the scope of the proposed cost model has been limited to earth observation satellites. These systems are further divided into EO (electro-optical) and SAR (synthetic-aperture radar) satellites. The proposed model can be applied to satellites with masses ranging from 100 to 1000 kg for EO satellites, and less than 5000 kg for SAR satellites. In order to overcome the limitations of the mass-based prediction models, the performance parameter was selected as the variable in a form of System Complexity Index (SCI). Cost Correction Relationship (CCR) is also applied to the cost model to increase the accuracy of the model. The resulting Cost Estimation Relationship (CER) shows that the proposed cost model provides much more accurate results in predicting the development cost of these satellites. The paper describes how the parameters were chosen and applied, discusses details of the proposed cost model, and shows application and results of the model as applied to other conceptual design cases.
