Set-theoretic fault-diagnosis for a nonlinear real-word fluidic benchmark

Fault diagnosis is essential in managing abnormal changes in system characteristics which affect its functioning and control abilities. The manuscript provides a set-based fault diagnosis for a fluidic benchmark. Invariant sets are employed to characterize the steady-state behavior of the open-loop stable dynamics for sensor faults. It is shown that the set-based fault diagnosis theory integrates this model and is able to handle efficiently persistent fault events.

I. Introduction

In the last decades, fault detection and isolation (FDI) as well as fault tolerant control (FTC) have captured the interest of the control engineering community, aiming to handle complex, often nonlinear, industrial systems [1].