航空科学技术2024，Vol.35Issue(10)：26-34,9.DOI:10.19452/j.issn1007-5453.2024.10.003
无人直升机集群协同维修智能决策优化
Intelligent Decision Optimization for Cooperative Maintenance of Unmanned Helicopter Swarm
摘要
Abstract
Using intelligent algorithms to make decision and optimization for cooperative maintenance of unmanned helicopter swarm can maximize the reliability of task execution under the condition of insufficient maintenance resources.Therefore,maintenance decision optimization has become a hot topic of research at home and abroad.Based on the theory foundation of selective maintenance and the analysis on maintenance process practice,a cooperative maintenance model for unmanned helicopter swarm was established.A genetic algorithm was used to realize the intelligent decision optimization of cooperative maintenance,and obtain the optimal solution set of multi-objective optimization under practical constraints as the maintenance sequence planning scheme.Combined with an example,analyzing the influence on maintenance team allocation and maintenance level selection on maintenance objectives is analyzed to verify the validity of the model and algorithm.关键词
选择性维修/可靠度/遗传算法/无人直升机/NSGA-ⅡKey words
selective maintenance/reliability/genetic algorithms/unmanned helicopter/NSGA-Ⅱ分类
航空航天引用本文复制引用
王亚楠,张柯,姜斌..无人直升机集群协同维修智能决策优化[J].航空科学技术,2024,35(10):26-34,9.基金项目
国家自然科学基金(62173180,62020106003) （62173180,62020106003）
航空科学基金(20220057052001) National Natural Science Foundation of China(62173180,62020106003) （20220057052001）
Aeronautical Science Foundation of China(20220057052001) （20220057052001）
