This article studies the cooperative search-attack mission problem with dynamic targets and threats, and presents a Distributed Intelligent Self-Organized Mission Planning(DISOMP)algorithm for multiple Unmanned Aerial...This article studies the cooperative search-attack mission problem with dynamic targets and threats, and presents a Distributed Intelligent Self-Organized Mission Planning(DISOMP)algorithm for multiple Unmanned Aerial Vehicles(multi-UAV). The DISOMP algorithm can be divided into four modules: a search module designed based on the distributed Ant Colony Optimization(ACO) algorithm, an attack module designed based on the Parallel Approach(PA)scheme, a threat avoidance module designed based on the Dubins Curve(DC) and a communication module designed for information exchange among the multi-UAV system and the dynamic environment. A series of simulations of multi-UAV searching and attacking the moving targets are carried out, in which the search-attack mission completeness, execution efficiency and system suitability of the DISOMP algorithm are analyzed. The simulation results exhibit that the DISOMP algorithm based on online distributed down-top strategy is characterized by good flexibility, scalability and adaptability, in the dynamic targets searching and attacking problem.展开更多
针对具有储能功能的无功补偿器BS-STATCOM(STATCOM with battery energy storge system),讨论了其拓扑演化过程与系统集成特点,研究了其有功无功耦合问题,并分析了采用类STATCOM控制策略存在的问题。提出一种基于bangbang原理的新型控...针对具有储能功能的无功补偿器BS-STATCOM(STATCOM with battery energy storge system),讨论了其拓扑演化过程与系统集成特点,研究了其有功无功耦合问题,并分析了采用类STATCOM控制策略存在的问题。提出一种基于bangbang原理的新型控制策略,并对比分析,结果表明所提出的基于bangbang原理的新型控制策略能够有效地改善功率控制性能,扩大有功输出的范围。基于MATALB/Simulink构建了2 Mvar的BS-STATCOM仿真分析平台,分别对两种控制策略进行了仿真分析,验证了理论分析的正确性。展开更多
基金supported in part by National Natural Science Foundation of China (Nos. 61741313, 61673209, and 61533008)Jiangsu Six Peak of Talents Program, China (No. KTHY-027)Postgraduate Research & Practice Innovation Program of Jiangsu Province, China (No. KYCX18_0303)
文摘This article studies the cooperative search-attack mission problem with dynamic targets and threats, and presents a Distributed Intelligent Self-Organized Mission Planning(DISOMP)algorithm for multiple Unmanned Aerial Vehicles(multi-UAV). The DISOMP algorithm can be divided into four modules: a search module designed based on the distributed Ant Colony Optimization(ACO) algorithm, an attack module designed based on the Parallel Approach(PA)scheme, a threat avoidance module designed based on the Dubins Curve(DC) and a communication module designed for information exchange among the multi-UAV system and the dynamic environment. A series of simulations of multi-UAV searching and attacking the moving targets are carried out, in which the search-attack mission completeness, execution efficiency and system suitability of the DISOMP algorithm are analyzed. The simulation results exhibit that the DISOMP algorithm based on online distributed down-top strategy is characterized by good flexibility, scalability and adaptability, in the dynamic targets searching and attacking problem.
文摘针对具有储能功能的无功补偿器BS-STATCOM(STATCOM with battery energy storge system),讨论了其拓扑演化过程与系统集成特点,研究了其有功无功耦合问题,并分析了采用类STATCOM控制策略存在的问题。提出一种基于bangbang原理的新型控制策略,并对比分析,结果表明所提出的基于bangbang原理的新型控制策略能够有效地改善功率控制性能,扩大有功输出的范围。基于MATALB/Simulink构建了2 Mvar的BS-STATCOM仿真分析平台,分别对两种控制策略进行了仿真分析,验证了理论分析的正确性。
