基于遗传算法的飞机经济爬升速度优化方法

为提高宽体飞机的爬升经济性,首先建立了爬升阶段飞行动力学模型和优化目标计算模型,确定了基于速度优化的最佳爬升策略;然后,在最佳爬升策略的基础上,建立了基于遗传算法的双表速爬升优化模型,得到近似最佳爬升策略,并分析了该爬升策略的可行性;最后,以某宽体飞机为例,分析了近似最佳爬升策略的影响因素。研究结果表明:最佳爬升策略相对传统爬升策略经济性提升3%~8%,且改进后的近似爬升策略与最佳爬升策略误差不超过1.4%;飞机重量、温度偏差和成本指数均会影响爬升策略的性能参数。

Optimization method of aircraft economic climbing speed based on genetic algorithm

In order to improve the climb economy of wide-body aircraft,the dynamic model in climb phase and the calculation model of optimization target were established firstly,and the optimal climb strategy based on speed optimization was determined.Secondly,the optimization model of double indicated speed climb based on genetic algorithm was established based on optimal climb strategy,and an approximate optimal climb strategy was obtained.Then its feasibility was analyzed.Finally,taking a wide-body aircraft as an example,the factors influencing the approximate optimal climbing strategy were analyzed.It is pointed that compared with the traditional climb strategy,the economy of the optimal climb strategy will be increased by 3%~8%approximately,and the error between improved approximate climb strategy and optimal climb strategy is less than 1.4%.Weight,temperature deviation and cost index of aircraft will affect the performance parameters of the climb strategy.