Fault detection in base-isolation systems via a restoring force observer

Vidal, Yolanda; Acho, Leonardo; Pozo, Francesc; Rodellar, Josea

doi:10.1109/systol.2010.5676058

Cited by 10 publications

(5 citation statements)

References 23 publications

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“…Different researches have been focused for fault diagnosis in suspension components, particularly failures in dampers, using residual generation based on parity spaces [8,9], unknown input observers [18], and robust observers [17]. Other researches use the frequency domain analysis to diagnosis faulty damping configurations [7,9].…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis for Vehicle Suspensions Using Modal Frequency Analysis

Piña-Alanís

Lozano-Cerda

Cavazos-Alanis

et al. 2021

Lecture Notes in Networks and Systems

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The fault diagnosis of an automotive suspension can become ambiguous because there is no general methodology to detect suspension problems. The main purpose of this work is to introduce a numerical analysis to determinate the state of a suspension system which is meant to be developed in future works for its practical application. It is considered that the spring and damper are the elements of the suspension that deteriorate the most over time, causing greater inconvenience to the driving experience, also, it is worth mentioning that being the main components of the suspension, these are the ones that most affect the system at the time of failure. The methodology to find suspension failures presented in this paper is based on the modal analysis of the frequency response of a quarter of vehicle model. To validate the methodology, different vehicles will be used to identify a pattern in the behavior that allows to generalize the appropriate response in a vehicle. The condition of the suspension can be determined by a graphical inspection of the frequency response: As the damper is tailing, the magnitude in the resonance frequency tends to ∞. On the other hand, as the spring fails, the resonance frequency tends to zero, independently of the damper state, allowing to isolate the fault.

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Section: Introductionmentioning

confidence: 99%

Fault Diagnosis for Vehicle Suspensions Using Modal Frequency Analysis

Piña-Alanís

Lozano-Cerda

Cavazos-Alanis

et al. 2021

Lecture Notes in Networks and Systems

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“…Wang and Song (2011) developed a fault detection and isolation (FDI) filter based on H ¥ performance to detect and isolate sensor faults of an experimental baseisolated structure. Vidal et al (2010) also put forward an approach to detect faults in a base-isolation structure through a Lypanove-based restoring force observer. He et al (2014) applied the EKF to identify the physical parameters of controlled building structures without any knowledge of the external excitation.…”

Section: Introductionmentioning

confidence: 99%

Sliding mode fault detection and fault-tolerant control of smart dampers in semi-active control of building structures

Fallah

Taghikhany

2015

Smart Mater. Struct.

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Recent decades have witnessed much interest in the application of active and semi-active control strategies for seismic protection of civil infrastructures. However, the reliability of these systems is still in doubt as there remains the possibility of malfunctioning of their critical components (i.e. actuators and sensors) during an earthquake. This paper focuses on the application of the sliding mode method due to the inherent robustness of its fault detection observer and faulttolerant control. The robust sliding mode observer estimates the state of the system and reconstructs the actuators' faults which are used for calculating a fault distribution matrix. Then the fault-tolerant sliding mode controller reconfigures itself by the fault distribution matrix and accommodates the fault effect on the system. Numerical simulation of a three-story structure with magneto-rheological dampers demonstrates the effectiveness of the proposed fault-tolerant control system. It was shown that the fault-tolerant control system maintains the performance of the structure at an acceptable level in the post-fault case.

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“…Instances of such observers include unknown input observer,

H_{\infty}

based observer, Kalman filter, and sliding mode (SM) observer (Alwi et al., ). Examples of recent reported studies on such observers in civil infrastructures are: an FDD approach through Lypanove‐base restoring force observer (Vidal et al., ), a Kalman filter estimator scheme for unknown inputs and system states (Niu et al., ), a Bayesian model class selection component along with the extended Kalman filter (EKF) for real‐time parameters identification (Yuen and Mu, ).…”

Section: Introductionmentioning

confidence: 99%

A Modified Sliding Mode Fault Tolerant Control for Large‐Scale Civil Infrastructure

Fallah

Taghikhany

2015

Computer aided Civil Eng

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Adaptable active control strategies besides advance sensors and actuators technologies lead to higher performance of vibrational control in civil infrastructures under severe ground motions. These resilience control systems are robust against model uncertainties as well as being online recoverable from the malfunctioning of sensors and actuators. In this study, resilient control system based on sliding mode (SM) fault detection observer and SM fault tolerant control is improved for actuator fault in large‐scale systems. The SM fault detection observer is modified for eliminating the excessive chattering in estimating states and actuators’ fault, and the reconfigurable SM fault tolerant control is improved to minimizing input forces in H∞ control framework under seismic action. Design of observer and controller is performed using linear matrix inequalities. Numerical simulations on the cable‐stayed bridge benchmark demonstrate the effectiveness of the proposed fault‐tolerant system. Despite the high order of this large‐scale structure, the proposed fault detection and diagnosis method can effectively find the location and size of faults in actuators without performance degradation and computational costs. The fault‐tolerant controller maintains the performance of the structure at an acceptable level in the post‐fault case by redistribution of control signal to actuators.

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Fault detection in base-isolation systems via a restoring force observer

Cited by 10 publications

References 23 publications

Fault Diagnosis for Vehicle Suspensions Using Modal Frequency Analysis

Fault Diagnosis for Vehicle Suspensions Using Modal Frequency Analysis

Sliding mode fault detection and fault-tolerant control of smart dampers in semi-active control of building structures

A Modified Sliding Mode Fault Tolerant Control for Large‐Scale Civil Infrastructure

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