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Optimization of air launch path based on integration of Genetic algorithm an‎d Morris method

مهندسي هوافضا

This thesis focuses on optimizing satellite launch trajectories using air-launch methods an‎d integrates the Genetic Algorithm (GA) with the Morris Sensitivity Analysis Method. The research begins with a comprehensive review of the historical development of air-launch techniques, highlighting key contributions an‎d advancements in this field. The innovative approach of combining the Genetic Algorithm with the Morris method provides a robust solution to the optimization problem, enhancing both accuracy an‎d efficiency. The technical core of the work involves modeling the mass of the launcher with three degrees of freedom. This includes the development an‎d implementation of governing equations in MATLAB, followed by simulations to observe the outcomes. Additionally, Missile DATCOM software is utilized to generate outputs that provide the coefficients relevant to the satellite launcher, which are critical for the three-degree-of-freedom simulation. The optimization problem is precisely constructed, encompassing the definition of initial an‎d final conditions, constraints, an‎d the objective function. Detailed explanations are provided for the Genetic Algorithm, including chromosome configuration, mutation processes, an‎d inheritance techniques that are essential for solving the trajectory optimization problem. The thesis concludes with an analysis of the results an‎d the presentation of an optimal trajectory solution. It also examines how variations in aircraft parameters at the moment of launch affect the outcomes, thereby offering a comprehensive solution to the posed challenge.

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