Document Type : Original Article
Authors
1
Military Intelligence and Reconnaissance Department, Egyptian Armed Forces, Cairo, Egypt.
2
Research and Development Department of the Armed Forces, Cairo, Egypt.
3
Production Management and Quality Department, MTC, Cairo, Egypt.
4
Mechanical Engineering Department, MTC, Cairo, Egypt.
10.1088/1757-899X/610/1/012059
Abstract
Today’s Earth Observation Satellites (EOSs) have complicated missions with an agility capability. For this reason, a great importance for satellite mission optimization problem has been arisen. In this paper, a multi-objective equation has been formulated which contains three selected objectives (Gain, image quality and time execution). There are three constraints (Target exclusiveness, due date and transition time) which have been selected and presented by three equations. Satellite Tool Kit (STK) has been used to simulate the relation between satellites and customers’ targets. The output opportunities from STK have been saved in an excel sheet and they will be used as inputs for our problem. Genetic Algorithm (GA) has been used as one of the optimization techniques to solve this problem and it has been applied by using Matlab program and its graphical user interface. The result from solving our problem is a plan which contains selected targets numbers, satellite numbers, target’s gain, shooting time, combined angle, target’s objective function value and the total objective function value. In this paper, a case study has been presented assuming there is a constellation of four (4) satellites (Superview constellation), thirteen (13) random targets and the required output is an optimum daily plan for shooting.
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