Fault Detection and Isolation using Viability Theory and Interval Observers

13th European Workshop on Advanced Control and Diagnosis

Zarch, Majid Ghaniee^1 ; Puig, Vicenç^2 ; Poshtan, Javad^1

Electrical Engineering Department, Iran University of Science and Technology (IUST), Narmak, Tehran

16846-13114, Iran^1

Institut de Robtica i Informtica Industrial (CSIC-UPC), Carrer Llorens Artigas 4-6, Barcelona

08028, Spain^2

关键词: Algorithmic methods;    Fault detection and isolation;    Interval observers;    Viability theory;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/783/1/012004/pdf
DOI  :  10.1088/1742-6596/783/1/012004

来源: IOP

【 摘 要 】

This paper proposes the use of interval observers and viability theory in fault detection and isolation (FDI). Viability theory develops mathematical and algorithmic methods for investigating the adaptation to viability constraints of evolutions governed by complex systems under uncertainty. These methods can be used for checking the consistency between observed and predicted behavior by using simple sets that approximate the exact set of possible behavior (in the parameter or state space). In this paper, fault detection is based on checking for an inconsistency between the measured and predicted behaviors using viability theory concepts and sets. Finally, an example is provided in order to show the usefulness of the proposed approach.