In-flight fault detection and isolation in aircraft flight control systems

Azam, Md. Shafiul; Pattipati, Krishna R.; Allanach, J.; Poll, Scott; Patterson-Hine, Ann

doi:10.1109/aero.2005.1559659

Cited by 38 publications

(18 citation statements)

References 6 publications

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“…For control design purposes, the aircraft nonlinear plant is linearized about a trim point ( , ) 0 0 X U as [15] x p = A p x p + B p u y p = Cx p + Du (2) where p x is the state, u is the input, p A is the system matrix, p B is the input matrix. The state p x consists of angle of attack , sideslip angle , airspeed V , roll rate p , pitch rate q , yaw rate r , and three Euler angles , , .…”

Section: The Baseline Controllermentioning

confidence: 99%

“…When the unforeseeable dynamic characteristics changes, such as structure damage of the aircraft occurring, control surface failure, or the position of center of gravity shifting, the conventional controller cannot adjust control parameters according to the control error, being likely to lead to disastrous consequences. The fault-tolerance flight control system can reconstruct the control law according to control deviation, and still maintain the satisfying performance, at least possess the ability of safety returning, which will greatly improve the safety level of aircraft system [1][2] .…”

Section: Introductionmentioning

confidence: 99%

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Application Research of MRAC in Fault-tolerant Flight Controller

Zhang¹,

Feng²,

Zhang³

2015

Procedia Engineering

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Damage, failure, and other configuration variety of aircraft would make the model parameters changed uncertainly, and lead to unknown deviations of the equilibrium points and unexpected coupling characters. One type of fault-tolerant flight controller which contains model reference adaptive theory is released for dealing with these problems. Design requirement for fault-tolerant flight controller is discussed and one structure of controller is presented. The reconstruction simulation for serious shift of center of gravity which could not detected by FDI system demonstrates this type of controller can complete the reconfiguration task without failure information, and demonstrated the validity of this structure.

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Section: The Baseline Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application Research of MRAC in Fault-tolerant Flight Controller

Zhang¹,

Feng²,

Zhang³

2015

Procedia Engineering

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“…Indeed, failures of system components are unavoidable as a consequence of repetitive strain during their working activity. Automatic diagnosis and compensation for faults is therefore an important feature for a controlled system, since a faulty behavior of a system can jeopardize personnel and/or users involved, as for aeronautical systems (see, by example, [1], [13], [4] and references therein) or chemical plants ( [17], [12] and more recently [14]). …”

Section: Introductionmentioning

confidence: 99%

Unambiguous fault identification and accommodation for incipient and abrupt faults

Parlangeli¹,

Pacella²,

Corradini

2007

2007 Mediterranean Conference on Control &Amp; Automation

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This paper considers a failure model including both incipient and abrupt faults, and addresses the problem of identifying and accommodating such faults. An identification strategy is proposed for the considered fault class, and a test is presented able to discriminate between the two types of failures. In order to prove the effectiveness of the estimation procedure a fault tolerant control strategy based on those theoretical results has been designed and implemented by simulation on a vertical take-off and landing (VTOL) aircraft.

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“…The former "wait" until a fault or failure occurs (Maybeck and Stevens, 1991;Maybeck, 1999), whereas the latter will artificially excite the aircraft, either by flying health check maneuvers (Elgersma et al, 1998;Azam et al, 2005), or by injecting test signals in the actuator commands and then assessing the individual health status of actuators and sensors (Elgersma and Glavaski, 2001;Campbell and Nikoukhah, 2004;Ducard and Geering, 2006;Boskovic et al, 2007;Ducard, 2009;Bateman et al, 2011). This paper presents a new method that is inspired by the artificial actuator excitation mechanism used in conjunction with the EMMAE scheme as presented by Ducard and Geering (2006;.…”

Section: Introductionmentioning

confidence: 99%

Smac–Fdi: A Single Model Active Fault Detection and Isolation System for Unmanned Aircraft

Ducard

2015

International Journal of Applied Mathematics and Computer Science

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This article presents a single model active fault detection and isolation system (SMAC-FDI) which is designed to efficiently detect and isolate a faulty actuator in a system, such as a small (unmanned) aircraft. This FDI system is based on a single and simple aerodynamic model of an aircraft in order to generate some residuals, as soon as an actuator fault occurs. These residuals are used to trigger an active strategy based on artificial exciting signals that searches within the residuals for the signature of an actuator fault. Fault isolation is carried out through an innovative mechanism that does not use the previous residuals but the actuator control signals directly. In addition, the paper presents a complete parameter-tuning strategy for this FDI system. The novel concepts are backed-up by simulations of a small unmanned aircraft experiencing successive actuator failures. The robustness of the SMAC-FDI method is tested in the presence of model uncertainties, realistic sensor noise and wind gusts. Finally, the paper concludes with a discussion on the computational efficiency of the method and its ability to run on small microcontrollers.

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In-flight fault detection and isolation in aircraft flight control systems

Cited by 38 publications

References 6 publications

Application Research of MRAC in Fault-tolerant Flight Controller

Application Research of MRAC in Fault-tolerant Flight Controller

Unambiguous fault identification and accommodation for incipient and abrupt faults

Smac–Fdi: A Single Model Active Fault Detection and Isolation System for Unmanned Aircraft

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