Evaluation of a Fault-Tolerant Scheme in a                     Six-Degree-of-Freedom Motion Flight Simulator

Sagoo, Girish; Gururajan, Srikanth; Seanor, Brad; Napolitano, Marcello R.; Perhinschi, Mario G.; Gu, Yu; Campa, Giampiero

doi:10.2514/1.42299

Cited by 7 publications

(4 citation statements)

References 22 publications

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“…Therefore, different approaches, in which mathematical relations are used to obtain redundant measurements, are being developed recently. [30][31][32][33][34] In this article, an alternative approach, namely adaptive switching between controllers which are adequate for different sets of sensors, but provide the same prespecified performance, is proposed. This approach has nowadays become possible due to recent advances in control theory, signals processing, microelectronics, power electronics, and microprocessors.…”

Section: Introductionmentioning

confidence: 99%

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Variance-constrained control of maneuvering helicopters with sensor failure

Oktay

Sultan

2012

Proceedings of the Institution of Mechanical Engineers, Part G:

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This article presents the novel results obtained using variance-constrained controllers and maneuvering helicopters also when some helicopter sensors fail. For this purpose, complex, control oriented, and physics-based helicopter models are used. A nonlinear model of the helicopter, which includes blade flexibility, is first linearized around specific maneuvering flight conditions (i.e. level banked turn and helical turn). The resulting linearized models are used for the design of variance-constrained controllers (i.e. output and input variance-constrained controllers). Then, the robustness of the closed-loop systems with respect to modeling uncertainties (i.e. flight conditions and helicopter inertial parameters variations) is studied. Next, variance-constrained controllers are designed for these maneuvering helicopter models when some helicopter sensors fail. Several sensor failure cases are examined and robustness properties of the closedloop systems with respect to modeling uncertainties are also examined. Limitations of the control design process due to the number and type of failed sensors are investigated as well. Finally, the possibility to adaptively switch between controllers in order to mitigate sensor failure is studied.

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Section: Introductionmentioning

confidence: 99%

“…Therefore, different approaches, in which mathematical relations are used to obtain redundant measurements, are being developed recently. 30–34…”

Section: Introductionmentioning

confidence: 99%

Variance-constrained control of maneuvering helicopters with sensor failure

Oktay

Sultan

2012

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…Napolitano et al [12][13][14] proposed a NN-based fault tolerant strategy for sensor and actuator failures in flight control systems. Sagoo et al 15 discussed the evaluation of a neurally augmented fault-tolerant flight control scheme for a high-performance aircraft featuring an adaptive actuator and sensor failure diagnosis algorithm in a motion-based flight simulator. Campa et al 16 analyzed a scheme for sensor failure detection, identification and accommodation using experimental flight data of a B777 research model.…”

Section: Introductionmentioning

confidence: 99%

An approach to fault detection and isolation for control components in the aircraft environmental control system

Cheng

Liu

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part G:

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Control components of the aircraft environmental control system (AECS), which is fast becoming an increasingly complex system, are of significant importance from the viewpoint of safety. However, few studies have focused on fault diagnosis of the AECS. This study proposes a method based on adaptive threshold and parameter extraction (ATPE) to realize fault detection and isolation for control components in the AECS. To overcome the drawback of a fixed threshold for fault detection, a practical approach is employed by combining a radial basis function (RBF)-based observer with an RBF-based adaptive threshold producer. The RBF neural network observer is used to generate a residual error signal. By comparing the residual error signal with the adaptive threshold, fault occurrence can be detected. To improve the fault isolation accuracy, an RBF fault tracker is used; the parameters of this tracker are extracted for fault isolation along with the residual error, unlike in the case of conventional fault diagnosis methods that are based on a single residual error signal. Finally, an RBF-based fault isolator is adopted to realize fault isolation and classification. Two commonly occurring faults in the control components of the AECS are simulated to verify the performance and effectiveness of the proposed method. The experimental results demonstrate that the proposed method based on ATPE is effective for fault detection and isolation for the control components in the AECS.

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“…Finally, this type of dynamic engine control could be implemented within a different control scheme. For example, WVU has developed an advanced supersonic fighter jet model that utilizes several types of neural networks for flight control and adaptation (39) . Currently, these control systems use decoupled control surfaces to collectively counteract an actuator failure.…”

Section: Rudder Failurementioning

confidence: 99%

Modeling and Analysis of Multiple Engine Aircraft Configurations for Fault Tolerant Control

Beamer¹

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I would like to extend a very heartfelt thank you to my committee chairman, Dr. Mario Perhinschi, who gave me the opportunity, guidance, and support to complete this research and thesis. I would also like to thank my committee members, Dr. Jacky Prucz and Dr. John Loth, for agreeing to help me reach this point in my academic career. I would also like to thank Matthew Cunningham, Ondrej Karas, and Phil Evans for being great sounding boards and helping me out in troubleshooting some of the random quirks of MATLAB and Simulink. I would like to thank my friends that I have met in Morgantown as well as my "sister" and "brother" from home. I want to thank them for putting up with me during the stressful times and for always offering their encouragement to see this through the end. I also want to thank my grandparents and great aunt and uncle as well as the rest of my extended family and friends for keeping me grounded. Finally, I would like to thank my parents, Terry and Rebecca Beamer, for always being there for me through thick and thin offering their unending love and support and for encouraging me to follow my dreams. .

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Evaluation of a Fault-Tolerant Scheme in a Six-Degree-of-Freedom Motion Flight Simulator

Cited by 7 publications

References 22 publications

Variance-constrained control of maneuvering helicopters with sensor failure

Variance-constrained control of maneuvering helicopters with sensor failure

An approach to fault detection and isolation for control components in the aircraft environmental control system

Modeling and Analysis of Multiple Engine Aircraft Configurations for Fault Tolerant Control

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