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The main goal of the research is to collect and develop new attitude algorithms that build up the different scenarios acted by a spacecraft starting from the orbit injection phase. It is found that the attitude scenarios can be classified mainly into two categories the first is the angular momentum management of a spacecraft and the second is the attitude maneuvers. The first category can be divided into two modes which are the detumbling mode and the momentum unloading mode. A new algorithm for estimating the angular rates has been developed. In the second category, the attitude maneuver, the…mehr

Produktbeschreibung
The main goal of the research is to collect and develop new attitude algorithms that build up the different scenarios acted by a spacecraft starting from the orbit injection phase. It is found that the attitude scenarios can be classified mainly into two categories the first is the angular momentum management of a spacecraft and the second is the attitude maneuvers. The first category can be divided into two modes which are the detumbling mode and the momentum unloading mode. A new algorithm for estimating the angular rates has been developed. In the second category, the attitude maneuver, the research work is concluded by developing a new technique to solve the problem of the second category using neuro-fuzzy control.
Autorenporträt
Mohammad Abdelrahman Ph.D., graduated in Cairo University, Faculty of Engineering, Aerospace Department. Dr. Abdelrahman participated in the Egyptian Space Program and BayernSat project at TÜM, Germany He was working as a research professor at Astrodynamics and Control Lab, Yonsei University. Presently he is working as an assistant professor.