分布式离散事件系统的分散控制与分散故障诊断研究

项目名称： 分布式离散事件系统的分散控制与分散故障诊断研究

项目编号： No.61273118

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： 刘富春

作者单位： 广东工业大学

项目金额： 81万元

中文摘要： 监督控制与故障诊断是离散事件系统研究中最重要的两个研究方向，在计算机网络、通信网络、机器人技术、工业制造、生产调度等领域有着广泛应用。本项目以一种功能更强、效率更高、可靠性更好的离散事件系统-分布式离散事件系统为模型，研究经典和模糊分布式系统的监督控制与故障诊断理论及应用。在经典分布式系统方面，首先运用双模拟等价关系简化系统规模，分析其可控性与可观性，研究基于双模拟等价关系的分散控制问题；其次，鉴于时延的普遍存在现象，通过分析时延对控制效果的影响，建立分布式时滞系统的可靠分散控制理论；同时，为使可靠分布式系统具备故障诊断功能，提出一种可靠分散诊断方法，设计和优化其实现算法。在模糊分布式系统方面，研究如何处理控制过程中模糊与不确定等问题，建立分布式模糊离散事件系统的可靠分散控制理论；最后，探讨模糊诊断器的构造方法和通讯机制，提出一种分布式模糊系统允许局部模糊诊断器之间相互通讯的分散诊断方法。

中文关键词： 离散事件系统；分布式系统；分散控制；可靠控制；故障诊断

英文摘要： Supervisory control and failure diagnosis are the most important issues in the study of discrete event systems (DESs), which have been successfully applied to many fields such as computer networks, communication networks, robotics, industrial manufacturing, and production dispatching. In this project, decentralized supervisory control and decentralized diagnosis of distributed discrete event systems are addressed, where both classical distributed systems and fuzzy distributed systems are involved. On the one hand, the following three topics for classical distributed systems are studied: Firstly, the complexity of classical distributed systems are mitigated by means of the technique of bisimulation relation, the controllability and observability are analyzed, and the bisimilarity decentralized control problem is solved. Secondly, a reliable decentralized supervisory control design approach for distributed systems with communication delays is presented, in which the effects of communication delays are formulated. Thirdly, a kind of reliable diagnosability mechanism is put forward to make ensure that the distributed systems are diagnosable, and an optimal algorithm for its realization is further worked out. On the other hand, supervisory control and failure diagnosis for fuzzy distributed systems are investigated

英文关键词： discrete event system；distributed system；decentralized supervisory control；reliable control；failure diagnosis