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Hypersonic flight vehicle trajectory optimization using pattern search algorithm. (English) Zbl 1391.76674

Summary: In this work, trajectory optimization of an aerodynamically controlled hypersonic boost glide class of flight vehicle is presented. In order to meet the mission constraints such as controllability, skin temperature, and terminal conditions etc., the trajectory is optimized using a pattern search algorithm with the lift to drag (L/D) ratio as a control parameter. It is brought out that the approach offers a viable tool for optimizing trajectories for the considered class of vehicles. Further, the effects of the constraints on trajectory shape and performance are studied and the analysis is used to bring out an optimal vehicle configuration at the initial stage of the design process itself. The research also reveals that the pattern search algorithm offers superior performance in comparison with the genetic algorithm for this class of optimization problem.

MSC:

76N25 Flow control and optimization for compressible fluids and gas dynamics
76H05 Transonic flows
70B10 Kinematics of a rigid body
90C59 Approximation methods and heuristics in mathematical programming
90C90 Applications of mathematical programming
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