Actuator and Sensor Fault Detection and Isolation System Applied to a Distillation Column

Abstract

This article presents the results of the simulation of a binary distillation column for which a composition controller and fault detection and isolation strategy was applied. In the simulation study, a distillation column comprising nine trays was adopted. A nonlinear feedback composition controller was designed to track the composition in tray 2 and tray 9 of this distillation column. The actuator and sensor fault detection and isolation system were developed by using a linear sliding mode observer. Fault detection was achieved by comparing the fault estimation signal to a predefined threshold. Fault isolation was achieved by analyzing the maximum value of fault estimation signals and a proposed isolation logic. The control and the fault detection and isolation system were tested via simulation to illustrate the effectiveness of the scheme. The results show that the algorithms provide good performance for the composition control of the process and for actuator and sensor fault detection and isolation.

An Adaptation of a Sliding Mode Classical Observer to a Fractional-Order Observer for Disturbance Reconstruction of a UAV Model: A Riemann–Liouville Fractional Calculus Approach

“…Secondly, SMOs contribute to an improved control performance, providing valuable information for designing control strategies that enhance trajectory tracking, stability, and the quadrotor's response speed. Lastly, the robustness of SMOs to uncertainties in the system parameters and operating conditions makes quadrotor systems more adaptable to different situations, especially in dynamic and variable environments [22,23,25,26].…”