Energetic Approach for Control Surface Disconnection Fault Detection in Hydraulic Aircraft Actuators

Márton, Lőrinc; Ossmann, Daniel

doi:10.3182/20120829-3-mx-2028.00040

Cited by 13 publications

(11 citation statements)

References 14 publications

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“…The gain k(ρ) generally depends on both measurable and unmeasurable parameters contained in a vector ρ. For the actuator we employ a simplified nonlinear dynamic model of a hydraulic servo controlled actuator described by a first order nonlinear state equation of the form [2] x…”

Section: Lpv Model Generation For the Nonlinear Actuator Modelmentioning

confidence: 99%

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Detection and identification of loss of efficiency faults of flight actuators

Ossmann¹,

Varga²

2013

2013 Conference on Control and Fault-Tolerant Systems (SysTol)

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In this paper we apply model-based synthesis methodologies for the development of robust fault detection and diagnosis (FDD) systems for the loss of efficiency (LOE) type of faults of flight actuators. Typical LOE faults can be modeled as either additive or multiplicative faults. For additive LOE fault robust fault detection techniques in conjunction with signal processing based fault identification is used to design a robust FDD system. For the detection of multiplicative LOE faults model detection techniques are employed, which allows to simultaneously perform fault identification. The developed FDD systems have been tested in a full nonlinear aircraft simulation model to validate its detection and identification characteristics under realistic conditions.

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Section: Lpv Model Generation For the Nonlinear Actuator Modelmentioning

confidence: 99%

“…The detection and identification of a loss of efficiency (LOE) fault for a flight control surface actuator has been intensively studied (e.g., see [1], [2], [3] and references cited therein). The early detection of a LOE is important to prevent undesired effects on the flight mechanics, aircraft stability and fuel consumption.…”

Section: Introductionmentioning

confidence: 99%

Detection and identification of loss of efficiency faults of flight actuators

Ossmann¹,

Varga²

2013

2013 Conference on Control and Fault-Tolerant Systems (SysTol)

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“…Recent research work on developing diagnostic and monitoring methods for hydraulic actuators includes [8], [9], [10] where a detailed causes of malfunction of the overall conditions in the system is concluded. This paper refers to the development of a component fault diagnostic method under dynamic conditions.…”

Section: A Chatzinikolaou Laboratory Of Applied Mathematics and Artimentioning

confidence: 99%

Implementation of Fault Diagnosis in a Dynamic Process

Chatzinikolaou¹,

Angeli²

2016

Fourth International Conference on Advances in Computing, Electronics and Communication - ACEC 2016

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-The increasing complexity of industrial systems leads to increased requirements concerning diagnosis capabilities. An intelligent process monitoring and fault diagnosis environment has been developed by interfacing a data acquisition and control software with a knowledge base system in an effective way. The abrupt changes of important system's variables are continually captured, analysed and compared with the relevant estimated values and the results are used for the final knowledge based diagnostic conclusions. The presentation of the implementation and developing of the intelligent monitoring process is the overall goal of this paper.

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“…The fault-free case corresponds to ν = [1, 1 ]. For the actuator with LOE faults we use a parameterized nonlinear dynamic model of a hydraulic servo controlled actuator described by a first-order nonlinear state equation (e.g., Goupil, 2010;Marton and Ossmann, 2012) …”

Section: Generation Of Lpv Modelsmentioning

confidence: 99%

“…Ossmann and A. Varga e.g., the works of Caglayan et al (1988), Marton and Ossmann (2012), Eykeren et al (2012) and the references cited therein). Early detection of these faults is important to prevent, via suitable control reconfiguration schemes, undesired effects on the flight mechanics, aircraft stability and fuel consumption.…”

mentioning

confidence: 99%

Detection and Identification of Loss of Efficiency Faults of Flight Actuators

Ossmann¹,

Varga²

2015

International Journal of Applied Mathematics and Computer Science

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We propose linear parameter-varying (LPV) model-based approaches to the synthesis of robust fault detection and diagnosis (FDD) systems for loss of efficiency (LOE) faults of flight actuators. The proposed methods are applicable to several types of parametric (or multiplicative) LOE faults such as actuator disconnection, surface damage, actuator power loss or stall loads. For the detection of these parametric faults, advanced LPV-model detection techniques are proposed, which implicitly provide fault identification information. Fast detection of intermittent stall loads (seen as nuisances, rather than faults) is important in enhancing the performance of various fault detection schemes dealing with large input signals. For this case, a dedicated fast identification algorithm is devised. The developed FDD systems are tested on a nonlinear actuator model which is implemented in a full nonlinear aircraft simulation model. This enables the validation of the FDD system's detection and identification characteristics under realistic conditions. Keywords: aerospace engineering, fault detection and diagnosis, loss of efficiency type of faults, flight actuator faults.

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Energetic Approach for Control Surface Disconnection Fault Detection in Hydraulic Aircraft Actuators

Cited by 13 publications

References 14 publications

Detection and identification of loss of efficiency faults of flight actuators

Detection and identification of loss of efficiency faults of flight actuators

Implementation of Fault Diagnosis in a Dynamic Process

Detection and Identification of Loss of Efficiency Faults of Flight Actuators

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