Adaptive Observer Based Actuator Fault Diagnosis for ASV

Wang, Jianfei; Jiang, Bin; Shi, Peng; Wang, Hankang

doi:10.1109/icicic.2008.118

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Indeed, due to this complexity, no unified results for nonlinear system fault diagnosis or fault tolerant control are available so far. Consequently, it leads to work on specific model classes, for example, Lipschitz systems [45],…”

Section: Introductionmentioning

confidence: 99%

Fault detection, isolation and estimation for Takagi–Sugeno nonlinear systems

Ichalal

Marx

Ragot

et al. 2014

Journal of the Franklin Institute

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Section: Introductionmentioning

confidence: 99%

Fault detection, isolation and estimation for Takagi–Sugeno nonlinear systems

Ichalal

Marx

Ragot

et al. 2014

Journal of the Franklin Institute

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“…These methods mainly include adaptive observer, high-order sliding-mode observer and neural adaptive observer. an adaptive observer was proposed [3,4] with update law to estimate the fault, which can insure the convergence of observing even with nonlinearity and disturbance. The advantage of adaptive observer is that accurate estimate of fault can be got for real-time diagnosis; while the disadvantage is that some restrict conditions must be followed, and uncertainty and nonlinear norm bound of object system must be small enough to satisfy the convergence condition of adaptive update law.…”

Section: Introductionmentioning

confidence: 99%

A real-time fault diagnosis method of SACS based on combination of offline identification and online observing

et al. 2009

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A novel fault diagnosis method based on the combination of offline identification and online observing is proposed in this paper, which can meet the requirement of both model complexity and real-time need for the satellite attitude control system. Accurate neural network models, both normal mode and faulty mode, can be obtained by off-line identification based on the data of fault simulation in different fault modes. With a parallel estimator derived from all models With all, fault determination based on threshold logic is designed for online fault detecting and isolating. Real-time simulation results, on the embedded fault simulation platform of satellite attitude control system, illustrate the effectiveness and superiority.

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“…Observer based approaches have also been used in generation of these residuals as well, generally using Kalman or other types of filters. This method has been applied in 'fly-by-wire' systems, where it was known to encounter issues with prolonged sensor faults [20]. A similar method using adaptive observers was applied specifically in aerospace systems, where, from simulations, it was shown to have satisfactory accuracy and was able to keep the system stable when imposed with an injected fault [21].…”

Section: Chapter 2: Literature Reviewmentioning

confidence: 99%

Artificial Immune System for Unmanned Aerial Vehicle Abnormal Condition Detection and Identification

McLaughlin¹

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A detection and identification scheme for abnormal conditions was developed for an unmanned aerial vehicle (UAV) based on the artificial immune system (AIS) paradigm. This technique involves establishing a body of data to represent normal conditions referred to as "self" and differentiating these conditions from abnormal conditions, referred to as "non-self". Data collected from simulation of the UAV attempting to autonomously fly a pre-decided trajectory were used to develop and test a scheme that was able to detect and identify aircraft sensor and actuator faults. These faults included aerodynamic control surface locks and damages and angular rate sensor biases. The method used to create the AIS is known as the partition of the universe approach. This approach differs from standard clustering approaches because the universe is divided into uniform partition clusters rather than clustering data using some clustering algorithm. It is simpler and requires less computational resources. This will be the first time that this approach has been applied for use in aerospace engineering. Data collected from nominal flights were used to define self partitions, and the non-self partitions were defined implicitly. The creation scheme is also discussed, involving all software used for simulation, as well as the process of creating the self and the logic behind the detection and identification schemes. The detection scheme was evaluated based on detection rate, detection time, and false alarms for flights under both normal and abnormal conditions. The failure identification scheme was assessed in terms of identification rate and time. Investigation of the proposed technique showed promising results for the cases explored with comparable performance with respect to clustering-based approaches and motivates further research and extension of the proposed methodology toward a more complete health management system.

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Adaptive Observer Based Actuator Fault Diagnosis for ASV

Cited by 4 publications

References 13 publications

Fault detection, isolation and estimation for Takagi–Sugeno nonlinear systems

Fault detection, isolation and estimation for Takagi–Sugeno nonlinear systems

A real-time fault diagnosis method of SACS based on combination of offline identification and online observing

Artificial Immune System for Unmanned Aerial Vehicle Abnormal Condition Detection and Identification

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