空天防御2025，Vol.8Issue(6)：35-44,10.
基于AMDE-DMPC算法的多无人机协同目标搜索方法
Multi-UAV Cooperative Target Search Method Based on AMDE-DMPC Algorithm
摘要
Abstract
Aiming at the cooperative search problem of multiple unmanned aerial vehicles(UAVs)for dynamic and static targets,a cooperative target search method of multiple UAVs based on an improved differential evolution algorithm(Adaptive Multi-strategy Differential Evolution,AMDE)and distributed model predictive control(DMPC)was constructed.First,the battlefield environment of the mission area was described by uncertainty and the target prior probability.Based on environmental exploration benefits,target detection benefits,and obstacle-avoidance constraints,a fitness function model for collaborative target search was established.Then,the AMDE algorithm,integrating multi-strategy adaptive selection and a double-layer adaptive parameter adjustment mechanism,was designed.Combined with distributed model predictive control,the optimal search track sequence was determined to complete the cooperative target search.The simulation results demonstrate that this method can effectively increase the likelihood of target discovery and improve the timeliness of task completion,while also exhibiting good efficiency and robustness.关键词
多无人机/协同搜索/动态目标/差分进化算法/分布式模型预测控制Key words
Multi-unmanned aerial vehicle(UAV)/cooperative search/dynamic targets/differential evolution algorithm/distributed model predictive control分类
航空航天引用本文复制引用
崔思远,李浩,范翔宇,倪磊,侯佳航..基于AMDE-DMPC算法的多无人机协同目标搜索方法[J].空天防御,2025,8(6):35-44,10.基金项目
国家自然科学基金项目(61502522) （61502522）
国家社会科学基金重点项目(2022-SKJJ-B-056,2025-SKJJ-D-036) （2022-SKJJ-B-056,2025-SKJJ-D-036）
湖北省自然科学基金面上项目(2023AFB1028,2025AFB419) （2023AFB1028,2025AFB419）
