Fault diagnosis for wind turbine systems using unknown input observer

Madubuike, Kingsley; Mayhew, Cliff; Zhang, Bin; Gomm, Barry; Yu, Dingli

doi:10.23919/iconac.2019.8895151

Cited by 3 publications

(1 citation statement)

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“…This approach was applied to a physical hydraulic system to identify and pinpoint faults in the actuators. An UIO-based FDI approach was proposed for a wind turbine system in [12], where a linear matrix inequality (LMI) optimization technique has been used to design a UIO and generate a residual signal. The used strategy was shown to be effective in Residual-based methods: Residual-based methods compare measured and predicted system outputs to detect faults.…”

Section: Introductionmentioning

confidence: 99%

Robust Sensor Fault Detection for a Single-Phase Pulse Width Modulation Rectifier

Ndabarushimana,

2023

Electronics

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Maintaining safe and efficient operation in a single-phase pulse width modulation (PWM) rectifier that employs current sensors relies heavily on accurate sensor readings. However, several factors such as environmental conditions, aging, or damage can lead to sensor faults. Therefore, it is imperative to implement robust fault detection methods to ensure reliable system operation. The use of unknown input observer techniques is one such method that involves analyzing the differences between actual and estimated states to detect and identify faults in the system. This paper presents the development of a fault detection method that employs an unknown input observer with high sensitivity to faults and disturbance rejection to achieve robust fault detection. The method involves modeling the system as a state-space model and designing an observer to estimate the system’s state variables based on input and output measurements. The deviations between the actual and estimated states are then analyzed to detect and identify sensor faults, without the need for additional hardware, making it a cost-effective solution. Hardware-in-the-loop tests confirm the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Robust Sensor Fault Detection for a Single-Phase Pulse Width Modulation Rectifier

Ndabarushimana,

2023

Electronics

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Investigation of unknown input observer for sensor fault diagnosis for a CSTR process

Kannan¹,

Srimathi

Venugopal

et al. 2021

Materials Today: Proceedings

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Robust Residual Generator Design for Sensor Fault Detection in Twin Rotor Aerodynamic System

Ahmad,

Azeem,

Zidan

et al. 2023

Preprint

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The twin rotor aerodynamic system (TRAS) reflects the dynamics of vertical take-off rotor systems. Controlling such systems for reference tracking and stabilization is difficult due to the nonlinear nature of the system and the significant cross-coupling between the main and tail rotor inputs and outputs. The TRAS considers the coupling effect and gyroscopic disturbance torque as unwanted signals. For TRAS safe and reliable operation, proper control input is vital along with fast fault indication. This paper addresses the problem of a robust residual generator design to detect the output sensor fault in the linear model of TRAS subjected to \({l}_{2}\)-norm bounded disturbance. For fault detection (FD) purposes, a robust observer is proposed using a co-inner-outer factorization approach to maximize the sensitivity/robustness criterion. Observer-based residual generator design is formulated as H-/H∞ optimization problem and a solution is obtained by solving the Riccati equation. The factorization technique overcomes the computational cost and minimizes H∞ norm which guarantees observer stability and robust performance. Furthermore, a linear quadratic regulator-based state feedback controller is proposed to meet the system's desired transient response requirement. The controller and residual generator designs' effectiveness are validated through MATLAB simulations. Successful fault detection in the output sensor of TRAS depicts the good performance of the proposed observer.

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Fault diagnosis for wind turbine systems using unknown input observer

Cited by 3 publications

References 1 publication

Robust Sensor Fault Detection for a Single-Phase Pulse Width Modulation Rectifier

Robust Sensor Fault Detection for a Single-Phase Pulse Width Modulation Rectifier

Investigation of unknown input observer for sensor fault diagnosis for a CSTR process

Robust Residual Generator Design for Sensor Fault Detection in Twin Rotor Aerodynamic System

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