Fault-Tolerant Model Predictive Control for a Z(TN)-Observable Linear Switching Systems

This work considers the control and the state observation of a linear switched systems with actuators faults. A particular problem is studied: the occurrence of non-observable subsystem in the switching sequence. Hence, the accuracy of the state estimations will decrease affecting the observer-based fault detection algorithms. In this paper, we propose a solution based on a constrained switching control in a predictive scheme. An extension to fault-tolerant control is derived, using several hybrid observers for estimation and fault detection and a reconfigurable finite control set model-predictive controller. The paper includes experimental results applied to a multicellular converter to demonstrate the efficiency of the method.

@article{SMATI2017,
  title     = {Fault-Tolerant Model Predictive Control for a Z(TN)-Observable Linear Switching Systems},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {8},
  number    = {6},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Abir SMATI and Wassila CHAGRA and Moufida KSSOURI},
  doi       = {10.14569/IJACSA.2017.080648},
  url       = {https://doi.org/10.14569/IJACSA.2017.080648}
}