Fault Detection and Isolation for Complex Thermal Management Systems

2018 ◽  
Author(s):  
Pamela J. Tannous ◽  
Andrew G. Alleyne
Keyword(s):  
Fault Detection ◽  
Thermal Management ◽  
State Space Model ◽  
Fault Detection And Isolation ◽  
Management Systems ◽  
Unknown Input ◽  
Unknown Input Observer ◽  
Thermal Management System ◽  
Disturbance Decoupling ◽  
Unknown Input Observers

In this paper, a robust unknown input observer-based actuator fault detection and isolation (FDI) scheme is applied on an example aircraft fluid thermal management system (FTMS). System dynamics are modeled using a graph-based approach. A linearized state space model is used in a bank of unknown input observers (UIOs) to generate a set of structured robust (in the sense of disturbance decoupling) residuals. Simulation results show successful actuator FDI in the presence of unknown inputs.

Fault Detection and Isolation in Power Systems Using Unknown Input Observer

2019 ◽  
pp. 38-58 ◽  
Author(s):  
Hassan Haes Alhelou
Keyword(s):  
Fault Detection ◽  
Power Systems ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Fault Detection And Isolation ◽  
Unknown Input ◽  
Unknown Input Observer ◽  
Control Loops ◽  
Interconnected Power Systems ◽  
Unknown Disturbance

Unknown input observers (UIO) find application in many cases for successful fault detection and isolation (FDI). In this chapter, a scenario where the unknown input observer is applied to load frequency control loops in interconnected power systems is analyzed. A UIO was chosen because load demand is not always constant and it can be considered to introduce an unknown disturbance to the system. Mathematical formulations on how to detect and isolate sensor faults are presented which are then implemented in MATLAB Simulink for simulations. Based on this historical survey on the application of UIO, a thesis on UIO application in FDI in distributed generation is done.

Robust Unknown Input Observer for Nonlinear Systems and Its Application to Fault Detection and Isolation

2008 ◽  
Vol 130 (4) ◽  
Author(s):  
S. Mondal ◽  
G. Chakraborty ◽  
K. Bhattacharyya
Keyword(s):  
Fault Diagnosis ◽  
Nonlinear System ◽  
Fault Detection ◽  
Nonlinear Function ◽  
Fault Detection And Isolation ◽  
Linear Matrix ◽  
Unknown Input ◽  
Matrix Inequality ◽  
Unknown Input Observer ◽  
Linear Matrix Inequality Approach

A robust unknown input observer for a nonlinear system whose nonlinear function satisfies the Lipschitz condition is designed based on linear matrix inequality approach. Both noise and uncertainties are taken into account in deriving the observer. A component fault detection and isolation scheme based on these observers is proposed. The effectiveness of the observer and the fault diagnosis scheme is shown by applying them for component fault diagnosis of an electrohydraulic actuator.

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