Plug-and-Play Fault Detection and Isolation for Large-Scale Nonlinear Systems With Stochastic Uncertainties

被引:41
作者
Boem, Francesca [1 ]
Riverso, Stefano [2 ]
Ferrari-Trecate, Giancarlo [3 ]
Parisini, Thomas [4 ,5 ,6 ]
机构
[1] UCL, Dept Elect & Elect Engn, London WC1E 7JE, England
[2] United Technol Res Ctr Ireland Ltd, Cork T23 XN53, Ireland
[3] Ecole Polytech Fed Lausanne, Automat Control Lab, CH-1015 Lausanne, Switzerland
[4] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England
[5] Univ Cyprus, KIOS Res & Innovat Ctr Excellence, CY-1678 Nicosia, Cyprus
[6] Univ Trieste, Dept Engn & Architecture, I-34127 Trieste, Italy
基金
英国工程与自然科学研究理事会; 瑞士国家科学基金会;
关键词
Fault detection; interconnected systems; large-scale systems; nonlinear systems; scalability; stochastic systems; systems of systems; CONTROL-RECONFIGURATION; DIAGNOSIS;
D O I
10.1109/TAC.2018.2811469
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a novel scalable model-based fault detection and isolation approach for the monitoring of nonlinear large-scale systems, consisting of a network of interconnected subsystems. The fault diagnosis architecture is designed to automatically manage the possible plug-in of novel subsystems and unplugging of existing ones. The reconfiguration procedure involves only local operations and communication with neighboring subsystems, thus, yielding a distributed and scalable architecture. In particular, the proposed fault diagnosis methodology allows the unplugging of faulty subsystems in order to possibly avoid the propagation of faults in the interconnected large-scale system. Measurement and process uncertainties are characterized in a probabilistic way leading to the computation, at each time-step, of stochastic time-varying detection thresholds with guaranteed false-alarms probability levels. To achieve this goal, we develop a distributed state estimation scheme, using a consensus-like approach for the estimation of variables shared among more than one subsystem; the time-varying consensus weights are designed to allow plug-in and unplugging operations and to minimize the variance of the uncertainty of the fault diagnosis thresholds. Convergence results of the distributed estimation scheme are provided. A novel fault isolation method is then proposed, based on a generalized observer scheme and providing guaranteed error probabilities of the fault exclusion task. Detectability and isolability conditions are provided. Simulation results on a power network model comprising 15 generation areas show the effectiveness of the proposed methodology.
引用
收藏
页码:4 / 19
页数:16
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