Hava araçlarının karşı tedbirlerden kaçınma amaçlı orta ve son fazdaki yol planlaması

Path planning is a fundamental element of various common fields, such as robotics, computer animation, and wireless sensor networks. In this study, path planning for air vehicles is investigated in two phases. For the midcourse phase, the path with the minimum length, fuel consumption, and risk of being detected is sought between two particular points in 3D complicated environments. To achieve this aim, a Genetic Algorithm is utilized with a special feasible initial population creation method. Also, some problem dependent operators are defined in order to make the convergence faster and more accurate, which is very crucial when the environment involves complex obstacles. On the other hand, since there are typically air defense systems located close to targets, safety becomes more important in the final phase. In order to avoid these dangerous situations, evasive maneuvers must be carried out within short ranges near the target. Thus, the mathematical modeling of air vehicles, guidance systems, and Control Actuation Systems are integrated and several tactical strategies are examined against the Close-In Weapon System that is also modeled in this dissertation.