基于MATLAB的现代优化算法在飞行器气动外形设计中的应用

MATLAB-based modern optimal algorithm applied to aerodynamic configuration design of vehicles

本文发展了 MATL AB语言环境下的现代优化算法 ,包括遗传算法、模拟退火算法和基于分支联赛选择的多目标遗传算法 ,并用来求解高超声速飞行器气动外形参数优化问题。所研究的气动外形为带控制舵飞行器和可变弯体飞行器。在 MATL AB环境下 ,求解了最大化升阻比的单目标优化问题和具有两个冲突目标 (最小化铰链力矩并且最大化平均操纵效率 )的多目标优化问题。实际算例表明 ,在快速有效的气动力分析方法辅助之下 ,本文所发展的 MATL AB现代优化算法可以在飞行器初始设计中发挥作用。本文所提供的现代优化算法是对 MAT-L

The MATLAB based modern optimization algorithms,including genetic algorithm,simulated annealing algorithm and Pareto genetic algorithm,are developed and applied to aerodynamic configuration optimization for hypersonic vehicles.The chosen vehicles are a blunt bi cone with cruciform flaps and a variable bent axis vehicle.An optimal problem maximizing lift to drag ratio and a multi objective optimization problem minimizing hinge moment while maximizing average operating efficiency,are solved using the algorithms presented here in the MATLAB environment.Due to employing a quick and efficient aerodynamic force evaluation approach,the cost is tolerant enough in the present design computation.The design study documents the applicability of modern optimal algorithm to preliminary design for hypersonic vehicle.The developed algorithms are favorable extension of the MATLAB optimization toolbox.