计算机应用与软件2016，Vol.33Issue(3)：114-117,132,5.DOI:10.3969/j.issn.1000-386x.2016.03.025
基于蚁群算法的直升机舰面系留索预紧力优化
MOORING CABLES PRELOAD OPTIMISATION FOR SHIPBORNE HELICOPTER BASED ON ANT COLONY OPTIMISATION
吴靖 1胡国才2
作者信息
- 1. 海军航空工程学院研究生管理大队 山东 烟台 264001
- 2. 海军航空工程学院飞行器工程系 山东 烟台 264001
- 折叠
摘要
Abstract
According to the force condition of the helicopter mooring on the ship,we proposed a calculation method for mooring load which takes 6 rigid displacements of helicopter as the variants.The optimisation of mooring cables preload is a problem of multivariable continuous space optimisation.Aiming at this characteristic,we used the ACO algorithm in continuous domain with the deterministic search embedded to optimise the mooring cables preload,and added MMAS strategy to the algorithm to prevent it falling into local optimal solution too early. Results showed that this ACO algorithm enabled the object value stably converging after iterating more than 20 steps,thus well solves the problem of the helicopter mooring cables preload optimisation.Finally,we made the comparative analysis on the mooring load of a certain type of helicopter without the preload and with the optimised preload.When without the preload,the cables went on relaxed and having no mooring role,however the maximum tension of mooring cables had a 35.02% decrease after the preload being optimised,and the cables tension distributed more evenly as well.关键词
直升机/系留/预紧力/蚁群算法/优化Key words
Helicopter/Mooring/Preload/Ant colony optimisation (ACO)/Optimisation分类
计算机与自动化引用本文复制引用
吴靖,胡国才..基于蚁群算法的直升机舰面系留索预紧力优化[J].计算机应用与软件,2016,33(3):114-117,132,5.
