Browsing by Author "Ashry M."
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Item Multiple Debris Orbital Collision Avoidance(IEEE Computer Society, 2019) Hamed A.R.; Badawy A.; Omer A.A.; Ashry M.; Hussein W.M.; Egyptian Armed Forces; Sherok city; Cairo; Egypt; MSA; October University for Modern Sciences and Arts; Cairo; Egypt; Mechanical Engineering Department; MTC; Cairo; Egypt; Egyptian Armed Forces; Cairo; Egypt; Egyptian Armed Forces; Sheraton square; Cairo; EgyptRecently, Mission safety become an important concern because of the exponentially increment of space objects crossing or accompany the orbit. In such a situation the risk value becomes more and more as these controlled and uncontrolled objects increase. Therefore, mission control centers depend on organizations as joint space operation center to use their supplied information to schedule a smart plan to minimize the orbit risk. This paper proposes a new technique in the field of satellite safe trajectory incorporating orbital separation distance between different orbiting objects in artificial potential field method rather than position difference as in many cases the difference between them is enormous. Satellite surroundings are represented by artificial field where counterpart objects are represented by repulsive potentials, and future predicted path as an attractive field. Therefore, prospective planned maneuver considers all surrounding objects with different probability within the same algorithm. The proposed method is then applied to a real case between a Chinese 'cz-4' and the United States 'DMSP 5D-2 F7' satellites and show the results before and after applying the algorithm with calculations of the velocity required to escape risk situation and maintain the necessary orbital parameters. Finally, a comparative study is implemented to determine the effectiveness of the proposed method compared to the well-known Hohmann maneuver. � 2019 IEEE.Item Optimized curvilinear potential field based multi-objective satellite collision avoidance maneuver([publishername] American Institute of Aeronautics and Astronautics Inc, AIAA, 2019) Refaat A.; Badawy A.; Omer A.A.; Ashry M.; Egyptian Armed Forces; Cairo; 11528; Egypt; October University for Modern Sciences and Arts MSA; Cairo; 12566; Egypt; Military technical college; MTC; Cairo; 11712; EgyptRecently, as the incredible growth of space objects, the most important issue for nearly all centers of space mission control (MCC) try to avoid is the problem of collision avoidance and allow a free path for the spacecraft during the whole lifetime, as the problem can be broken into two main parts the first is supply by data and some organizations play this role as the SPACE DATA ASSOCIATION CONJUNCTION ANALYSIS OPERATIONS in USA and SMARTnet in Germany, the second part is our Circle of Concern to use such information for automated task of collision avoidance maneuver planning and execution. This paper develops a new technique used usually during docking operations known as artificial potential field (APF) but as the key factors before performing any maneuver in space are the fuel budget, time and the safety of the new trajectory, so a new genetic-APF is used. In this paper, a new potential field technique is used with genetic algorithm for optimizing the coefficients in the algorithm, Moreover the criteria for judging the collision is based upon the curvilinear distance between the satellites not the Euclidean distance for calculating the Time to collision (TTC), a real case study output with calculation of orbit dynamics of spacecraft using ARE_orbit_propagator, a high precision orbit propagation developed using c#, output the velocity (?v) required for each case that will be supplied to the propulsion control module is used between the Chinese �cz_4� and the United States �DMSP 5D-2 F7� satellites to clarify the difference between the traditional potential field and the new genetic-based artificial potential field with also comparing the results with the well-known Hohmann maneuver for changing the altitude. � 2019, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.