基于混沌遗传算法的飞机高原滑跃起飞跑道优化设计  

Design of ski-jump ramp take-off runway in plateau regions based on chaotic genetic optimization algorithm

作　　者：安治永[1] 李应红[1] 吴利荣[1] 

机构地区：[1]空军工程大学工程学院一系,西安710038

出　　处：《电光与控制》2006年第4期52-56,共5页Electronics Optics & Control

摘　　要：为了满足机场建设的复杂环境,提高飞机的作战性能、缩短飞机在机场起飞和着陆的距离是最行之有效的方法。针对飞机高原起飞滑跑距离过长的问题,在飞机高原斜坡滑跃起飞跑道优化设计中,引入了混沌遗传优化算法。选取某型飞机极限起飞重量作为设计输入,对高原斜坡滑跃跑道的参数进行了优化设计。该方法极大地提高了多变量设计方法的优化性能,使飞机起飞着陆的滑跑距离得到了明显的缩短。本文在常规的遗传算法优化无功中引入了混沌优化算法,该算法利用混沌变量产生群体的初始值,然后进行复制、交换与变异。计算结果表明,该算法可以显著提高计算效率,具有较大的实用价值。The running distance of aircraft during take-off is too long for the airfield in plateau regions, thus we introduced chaotic genetic optimization algorithm in the optimum design of ski-jump ramp take-off runway. Taking the limit take-off weight of a certain aircraft as the input of design, the design parameters of ski-jump ramp are optimized by combing Genetic Algorithm and Chaotic. The research shows that ski-jump take-off can greatly shorten the take-off running distance, and that Chaotic Genetic Optimization Algorithm can achieve satisfaetory ootimization results.

关 键 词：高原 发动机起动 混沌遗传优化算法 斜坡滑跃起飞 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计]