分布式非线性网络化系统的状态估计与故障诊断及其应用

项目名称： 分布式非线性网络化系统的状态估计与故障诊断及其应用

项目编号： No.61273156

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 王子栋

作者单位： 清华大学

项目金额： 85万元

中文摘要： 集成电路与通讯技术的飞速发展使得当今系统的规模越来越庞大、系统复杂度也逐渐增加，同时，系统的安全性要求也日益提高。现有较为成熟的状态估计与故障诊断问题的理论研究成果多是在集中式框架下针对线性系统或特殊的非线性系统给出的，其应用到大规模网络化系统中时会造成通讯与计算的严重负担，且无法实现对各分布式元件故障的单独诊断。本项目从无人直升机安全编队飞行的实际需求出发，考虑具有分布式传感器的一类非线性网络化系统，每个传感器可与邻近传感器通过通信网络进行数据交互，网络的引入会给数据的传输过程带来随机的不完整性。基于此类系统，我们研究分布式非线性网络化系统的状态估计及故障诊断问题，给出分布式一致滤波及故障诊断的若干理论成果，并在无人直升机群的实验平台上进行实际验证。本课题的研究成果不但具有重要的理论意义，而且对提高分布式非线性网络化系统的安全性具备潜在的工程应用价值。

中文关键词： 非线性网络化系统；分布式滤波；故障诊断与故障估计；一致性；多智能体系统

英文摘要： The past decades have witnessed the rapid increasing of system size and complexity, motivated by the development of communication technology and microelectronic technique. State estimation and fault diagnosis are two important research areas that focus on system safety. However, most of the available literature on model-based state estimation and fault diagnosis are devoted to centralized systems, where the filter or fault diagnosis scheme has access to all the available measurements. Motivated by the background of safety formation flying of an unmanned helicopter swarm, we propose the state estimation and fault diagnosis issues for distributed nonlinear networked systems. Distributed filter or fault diagnosis is more suitable than centralized for large-scale interconnected dynamical systems due to its lower complexity and less use of network resources. Traditional filtering and fault diagnosis schemes may not be applied to distributed networked systems, since not all measurements are available in every node. In this project, some new theories, new techniques and new methodologies will be proposed on the scientific problems of consensus filtering and fault diagnosis for distributed nonlinear networked systems. We consider a class of nonlinear networked systems, whose sensors are deployed dispersedly and a sens

英文关键词： nonlinear networked systems；distributed filtering；fault detection and fault estimation；consensus；multi-agent systems