Abstract
This note developed a distributed fault detection and isolation scheme for a class of large-scale systems in discrete-time framework. The unstructured modeling uncertainty and abrupt and incipient faults are considered in this scheme. By using overlapping decompositions, the large-scale system is decomposed into a set of subsystems which are monitored by a network of local fault detectors (LFDs) and local fault isolation estimators (LFIEs). Specially, the LFIEs, corresponding the faults affecting the common components among different subsystems, may reach a cooperative (or consensus) isolation decision, based on the fact that they can exchange some knowledge about the local information of system by suitable communication links. As a result, for these LFIEs, the capability of isolating faults may be improved. Moreover, the derivation of rigorous analytical results for the detectability and isolability properties of the proposed scheme is given. Simulation results are provided to show the effectiveness of the presented scheme.
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Recommended by Editorial Board member Bin Jiang under the direction of Editor Young Il Lee.
Zhiqiang Zheng received his Ph.D. degree in Automation Science & Electrical Engineering from Beihang University, China in 2012. In 2012, he joined the College of Electronic Information Engineering, Inner Mongolia University, China. His research interests include fault diagnosis and prognosis, system control and robot networks.
Yongxin Liu received his Ph.D. degree in Control Theory and Engineering from Beijing Institute of Technology in 2002. Since 2004, he has been a Full Professor with the College of Electronic Information Engineering, Inner Mongolia University, China. His research interests include robot control, image processing and pattern recognition.
Haiwen Yuan received his Ph.D. degree in Electrical Engineering from Xi’an Jiaotong University, China in 1996. His teaching and research interests are in the areas of multiagent system, control and advanced measurement technology.
Qiusheng Wang received his Ph.D. Eng. degree from Harbin Institute of Technology, China in 2002. His research interests include system control, signal processing and intelligent fault diagnosis and prognosis.
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Zheng, Z., Liu, Y., Yuan, H. et al. Distributed fault detection and isolation scheme for abrupt and incipient faults in a class of nonlinear systems. Int. J. Control Autom. Syst. 10, 623–631 (2012). https://doi.org/10.1007/s12555-012-0320-x
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DOI: https://doi.org/10.1007/s12555-012-0320-x