多移动基站协作波束成形优化的运动协同控制方法

Wireless communication networks have become an important part of modern civilization and social development. However, the harsh natural environment in remote and impoverished areas has led to a serious lack of communication infrastructure. The difference in coverage between urban and rural networks has become an important factor that restricts the balanced development of information society and causes social conflicts. Distributed multi-mobile base stations cooperation provides possibilities for wide coverage of rural networks. However, there are also some problems, such as, unstable communication coverage, non-synchronous cooperation, poor signal transmition performance caused by the movement of the unmanned aerial vehicles, Therefore, this project focus on the problems related to cooperative beam forming of multiple mobile base sation systems, the multi-agent control approach, game theory and the theory of cooperative commination are synthesized in order to enlarge the communication coverage and enhance the commination effect of an expected direction. The research contents of this project are as follows: multi-base station formation optimization method for establishing balanced user coverage rate and signal transmition performance, and energy efficiency collaborative beamforming motion coordination robust control approach. The key problems of this research are follows: modeling the multiple base station formations and directivity diagram, establishment of a coupling relationship between communication coverage and signal transmition efficiency, modeling weight optimization, motion cooperation and beamforming performance, four-dimensional consensus coordinated robust strategies based on time synchronization formation control. The problems related to the cooperative beam forming of multiple mobile base station will be solved and some innovative achievements will be obtained after finishing this project. Then theoretical foundations and some key technologies of multiple mobile base station for cooperative communication applications are provide.

无线通信网络已经成为现代文明和社会发展的重要组成部分。然而，贫困偏远地区自然环境恶劣，地势复杂导致通信基础设施严重缺乏。城乡网络覆盖差异，已成为制约信息化社会均衡发展的重要因素，不利于社会和谐。分布式多移动基站协作，为乡村网络广覆盖提供可能。但基站的移动容易导致通信覆盖不稳定、协作不同步、信号回传效能不理想等问题。为此，本项目以分布式多移动基站系统为对象，结合博弈论和多智能体协同控制理论展开研究：建立均衡用户覆盖和回传效能的多基站阵形优化方法，能量有效协作波束成形优化的运动协同控制方法。重点解决所遇到的关键问题：多基站阵形与方向图的关系建模，用户覆盖率和回传效能的耦合关系建立，时间到达一致和三维空间阵形一致的“趋四维一致”运动协同控制。通过本项目研究，在多移动基站的能量有效协作波束成形优化方面取得一些创新性成果，为提高网络覆盖率和信号回传效能提供扎实的理论基础和关键技术储备。

本项目以无人机搭载移动基站的分布式通信系统为背景，在分布式波束形成优化，无人机路径规划和滑翔机飞行系统参数辨识等方面展开研究。本项目1）提出多种分布式波束形成优化算法，在加快收敛速度的同时保证了收敛精度；利用智能优化和节点选择等方法抑制天线阵旁瓣，进一步提高波束形成性能。2）提出低复杂度的在线能量分配策略保障通信连接；提出无人机飞行路径和能量分配策略交替优化等多种方法保障传感结点能量供给和系统吞吐量优化；搭建实验平台完善非线性能量转换模型，构建无人机连续飞行路径。3）提出简化分数阶PID控制器，分析计算最佳控制器参数，实现对电机的速度精确控制；融合数据模型和物理模型的优势提高滑翔机飞行动力学PNN模型准确度，为无人机的精确运动控制提供基础。本项目研究成果获得了国内外领域专家的认可，项目组成员在国内外重要学术期刊和会议上已发表或录用学术论文15篇，其中已被SCI收录6篇，已被EI收录5篇，SCI待收录1篇，EI待收录3篇。申请国家专利5项目，其中申请发明专利4项，授权实用新型专利1项。形成稳定的研究团队，参与工作的硕士研究生共5名，指导研究生撰写论文6篇。参加国际、国内交流共5次。项目开展期间与中南大学、香港城市大学的科研工作者开展了卓有成效的合作，合作发表SCI论文3篇。本项目取得的高水平、原创性理论成果帮助拓展了系统协同优化和无人机协作通信领域的研究工作；搭建的基于无人机的信息能量传输系统在灾区勘测搜救、森林监测、智慧农业、智能制造等场景中具有技术和成本优势。项目组尝试在森林资源监控及报警、种植试验区环境信息采集等方面进行成果转化。

内容获取失败，请点击重试