Скачать или смотреть Robust Fault Detection Using Set-Based Approaches for LPV Systems

Speaker:
Shuang Zhang (Research group of Advanced Control Systems (SAC), Universitat Politècnica de Catalunya (UPC), Barcelona, Spain)

Abstract:
This presentation addresses the problem of robust fault detection for Linear Parameter Varying (LPV) systems using set-based approaches. Two approaches are proposed, based respectively on set-based state and parameter estimation methods, for implementing direct and inverse test for robust fault detection (FD). The uncertainties are assumed to be unknown but bounded and their effect is propagated using zonotopic sets. These robust FD test methods aim at checking the consistency between the measured and estimated behaviour obtained from estimator in the parameter or output space considering the effect of the uncertainty. When an inconsistency is detected, a fault can be indicated. A case study based on an autonomous vehicle is employed to compare the performance of proposed FD tests.

References:
[1] Fang, X., Puig, V., Zhang, S. Fault Diagnosis and Prognosis Using a Hybrid Approach Combining Structural Analysis and Data-Driven Techniques. 5th IEEE International Conference on Control and Fault-Tolerant Systems (Systol'2021). Saint-Raphäel, France, 2021.
[2] Zhang, S., Puig, V., Robust Fault Detection Using Set-Based Approaches. 5th IEEE International Conference on Control and Fault-Tolerant Systems (Systol'2021). Saint-Raphäel, France, 2021.
[3] Zhang, S., Puig, V., Robust Fault Detection Using Set-Based Approaches for LPV Systems. 11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes - SAFEPROCESS 2022 Pafos, Cyprus, 2022.