Distributed Fault Identification and Fault-Tolerant Control for Multi-agent Systems
This paper studies the consensus-tracking based distributed fault identification (DFI) and distributed faulttolerant control (DFTC) problems for a multi-agent system modeling by a large-scale power generator network.The objective is to enable all the agents to coordinately detect and identify the faults without losing desirable system performance.First,for the distributed fault diagnosis part,a model-based distributed state observer (DSO) is designed to obtain the residual and then a nonlinear distributed fault estimator is developed to identify the faults.By exploiting the redundancies from the distributed fault diagnosis part,a novel distributed fault-tolerant control law is proposed to enable all the agents to achieve the control goal without losing the system performance while achieving fault identification.The corresponding sufficient conditions for both DFI and DFTC are obtained using graph theory and Lyapunov analysis theory.Practical power system simulation results are provided to illustrate the effectiveness of the proposed methods.
Large-scale power networks Distributed fault tolerant control Lyapunov methods Cooperative control
Zhi Feng Guoqiang Hu
School of Electrical and Electronic Engineering,Nanyang Technological University,Singapore 639798
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
1476-1481
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）