基于改进HHO的飞机平衡状态求解  

SOLUTION OF AIRCRAFT EQUILIBRIUM STATE BASED ON IMPROVED HHO

作　　者：陈静杰 罗军 Chen Jingjie;Luo Jun(College of Electronic Information and Automation,Civil Aviation University of China,Tianjin 300300,China)

机构地区：[1]中国民航大学电子信息与自动化学院,天津300300

出　　处：《计算机应用与软件》2023年第12期255-262,共8页Computer Applications and Software

基　　金：中美绿色航线合作基金项目(GH201661279)。

摘　　要：针对求解飞机平衡状态依赖初值选取的问题,提出一种改进哈里斯鹰优化算法(Improved Harris Hawks Optimization,IHHO)。该算法修改HHO全局搜索策略,利用种群中部分随机个体间距离的均值更新哈里斯鹰位置,扩大种群分布范围,减少求解初期算法受初值影响;对猎物体能模型增加一个随迭代次数变化的调整因子,动态调节IHHO搜索策略,避免算法陷入局部最优。使用IHHO求解飞机平衡状态,实验结果表明,该方法可解决对初值选取依赖的问题。In order to solve the problem that the traditional optimization algorithm used in calculating the equilibrium state of aircraft is very dependent on the selection of initial values,an improved harris hawks optimization(IHHO)is proposed.The algorithm modified the HHO global search strategy,used the average distance between some random individuals in the harris hawks population to update the position of the harris hawks in the current iteration,expanded the distribution range of the population,and reduced the influence of the initial value of the algorithm in the initial stage of solving the equilibrium state.It added an adjustment factor to the prey physical fitness model that could change with the number of iterations to dynamically adjust the IHHO search strategy to avoid falling into local optimization.The IHHO was used to solve the aircraft equilibrium state.The experimental results show that this method can solve the problem that the algorithm depends on the initial value when calculating the aircraft equilibrium state.

关 键 词：飞机平衡状态 改进哈里斯鹰优化算法 配平 全局寻优 飞行控制 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]