Accession Number : ADA602448


Title :   Disaggregated Imaging Spacecraft Constellation Optimization with a Genetic Algorithm


Descriptive Note : Master's thesis


Corporate Author : AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT


Personal Author(s) : Abbate, Evelyn A


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a602448.pdf


Report Date : 27 Mar 2014


Pagination or Media Count : 156


Abstract : This research is an extension of work by Major Robert Thompson, who uses a genetic algorithm to optimize certain parameters of a disaggregated constellation for most cost-effective coverage. This work looks at imaging sensor coverage of a specific target deck assumed to exist in the Middle East. Parameters varied in this optimization affect Walker constellation characteristics, orbital elements, and sensor size. Walker parameter variables are number of planes, number of satellites per plane, true anomaly spread, and RAAN increment. All classical orbital elements are variable, although a circular, low-Earth orbit is assumed. Sensor size is varied dependent upon sensor diameter. These parameters are applied to constellations of small satellites and large satellites. The Unmanned Spacecraft Cost Model (USCM) and the Small Spacecraft Cost Model (SSCM) are used to roughly determine the cost of each proposed mission. The sensor effectiveness is determined by the General Imaging Quality Equation (GIQE).


Descriptors :   *ALGORITHMS , *OPTIMIZATION , *SPACECRAFT , ARCHITECTURE , ARTIFICIAL SATELLITES , COST EFFECTIVENESS , EARTH ORBITS , GENETICS , IMAGES , LOW ALTITUDE , OPERATIONAL EFFECTIVENESS , UNMANNED SPACECRAFT


Subject Categories : Numerical Mathematics
      Computer Programming and Software
      Manned Spacecraft


Distribution Statement : APPROVED FOR PUBLIC RELEASE