Robustness Analysis of Integrated LPV-FDI Filters and LTI-FTC System for a Transport Aircraft

Khong, Thuan; Shin, Jeeyoung

doi:10.2514/6.2007-6771

Cited by 15 publications

(19 citation statements)

References 20 publications

(54 reference statements)

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“…Note that each manoeuvre is allowed to reach steady state before the next sequence is tested. Remark: Note, although the controller is designed based on the LPV model from [20], the SRS evaluation is based on the high fidelity nonlinear aircraft model [12]. Remark: The controller has been tested at the trim condition with an input trim [2deg, −1.59deg, 45568N] with an initial mass of 317000kg and with the flaps fully retracted.…”

Section: Srs Piloted Evaluation Resultsmentioning

confidence: 99%

“…The LPV model used for design is obtained from [20] T , which represent deviation of elevator deflection, horizontal stabilizer deflection and total engine thrust from their trim values respectively [20]. For the controller design the stateh e has been removed and the states of the LPV plant reordered as [θ,ᾱ,V tas ,q]…”

Section: Design and Srs Implementationmentioning

confidence: 99%

“…Note the weighting of the first row of E(ρ) is employed to reduce the bound of the condition number c in (20). In order to introduce a tracking facility, the plant states have been augmented with the integral action states [7] given byẋ…”

Section: Design and Srs Implementationmentioning

confidence: 99%

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Real-time implementation of an Integral Sliding Mode Fault Tolerant Control scheme for LPV plants

Alwi

Edwards

Stroosma

et al. 2014

IEEE Trans. Ind. Electron.

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This paper proposes a fault tolerant control scheme for linear parameter varying systems based on integral sliding modes and control allocation, and describes the implementation and evaluation of the controllers on a 6 degree-of-freedom research flight simulator called SIMONA. The fault tolerant control scheme is developed using a linear parameter varying approach to extend ideas previously developed for linear time invariant systems, in order to cover a wide range of operating conditions. The scheme benefits from the combination of the inherent robustness properties of integral sliding modes (to ensure sliding occurs throughout the simulation) and control allocation, which has the ability to redistribute control signals to all available actuators in the event of faults/failures. Index TermsSliding mode control, Fault tolerance, Aerospace simulation. I. INTRODUCTIONThe most important facet of Fault Tolerant Control (FTC) systems is their ability to maintain closed-loop stability, and ideally a measure of performance, in the face of faults or failures in actuators or sensors. The majority of the FTC methods that have appeared in the literature are based on linear time invariant (LTI) systems (see for example [1]). There are however notable exceptions: for example an observer based scheme for a specific class of input-output stable nonlinear systems is proposed in [2]; a passive FTC approach is proposed in [3] for a class of affine nonlinear systems considering actuator faults; and in [4], a FTC scheme for a specific class of nonlinear systems is proposed based on a sliding mode control allocation scheme incorporating a backstepping controller.Linear parameter varying (LPV) systems are a special class of finite dimensional linear systems, in which the entries of the state space matrices continuously depend on a time varying parameter vector which belongs to a bounded compact set. Using LPV techniques, the control law can be automatically 'scheduled' with the operating conditions and guaranteed performance can be proved over a wide operating envelope. FDI and FTC methods designed for LPV models have appeared in the literature. In [5], a synthesis method using LMIs is presented in order to guarantee closed-loop stability in the case of multiple actuator faults. In [6] an FDI scheme based on the extension of residual generation concepts for LTI systems was presented and tested on a model of a B747-100/200.Sliding mode control (SMC) is attractive from an FTC stand point, since actuator faults can be modelled as matched uncertainty, which is precisely the class of uncertainty to which sliding modes are robust [7]. However SMC cannot directly deal with total actuator failures because the complete loss of effectiveness in a channel destroys the regularity of the sliding mode, and an unique equivalent control signal can no longer be determined. To obviate this short-coming, in over actuated systems, a combination of SMC and control allocation (CA) has recently been explored [8]. In this context, CA can be viewed a...

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Section: Srs Piloted Evaluation Resultsmentioning

confidence: 99%

Section: Design and Srs Implementationmentioning

confidence: 99%

See 1 more Smart Citation

Real-time implementation of an Integral Sliding Mode Fault Tolerant Control scheme for LPV plants

Alwi

Edwards

Stroosma

et al. 2014

IEEE Trans. Ind. Electron.

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“…Vanek, Szabo et al (2011) show the application of the geometric LPV FDI approach to a complex, 6 degreesof-freedom (DOF) rigid body aircraft model. Previous approaches (Khong & Shin, 2007;Szaszi, Marcos, Balas, & Bokor, 2005) only considered the longitudinal dynamics of the airplane, which is applicable for the elevator fault detection case but as described in Vanek, Seiler, Bokor, and Balas (2011) designs based on decoupled dynamics are inherently limited to detection around the trim (cruise) flight condition and might be less robust to deviation from the trim operating point.…”

Section: Geometric Lpv Fdimentioning

confidence: 99%

Bridging the gap between theory and practice in LPV fault detection for flight control actuators

Vanek¹,

Edelmayer²,

Szabó³

et al. 2014

Control Engineering Practice

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a b s t r a c tTwo different approaches for fault detection, the geometric and the detection filter based methods, are compared in the paper from practical aspects, using the linear parameter-varying (LPV) framework. Presenting two designs allows a comparison of global, system level, and local component level fault detection methods with special emphasis on their relevance to aircraft industry. Practical engineering design decisions are highlighted via applying them to a high-fidelity commercial aircraft problem. The successive steps of the design, including fault modeling, LPV model generation, and LPV FDI filter synthesis, including implementation aspects, are discussed. Results are presented according to the industrial assessment perspectives phrased within the EU ADDSAFE project.

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“…Despite the potential benefit of employing an LPV based design, the LPV model used as the basis of the observer will be imperfect, and this might cause false alarms or missed detections. For a LPV model generated using an interpolation of families of localized linear models (which is a commonly used approach), plant-model mismatch is present (especially) in the interpolated region where the model is not well defined (see for example [25], [29] for validation tests of an LPV plant comparing the actual plant states and LPV states). Other LPV generating methods will contain imperfect plant information due to simplifications and assumptions.…”

Section: Introductionmentioning

confidence: 99%

Robust fault reconstruction for linear parameter varying systems using sliding mode observers

Alwi

Edwards

2013

Intl J Robust & Nonlinear

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This paper presents a robust FDI scheme using a sliding mode observer based on an LPV system, with fault reconstruction capability. Both actuator and sensor fault reconstruction schemes are considered which possess robustness against a certain class of uncertainty and corrupted measurements. For actuator fault reconstruction, the input distribution matrix (associated with the actuators being monitored) is factorized into fixed and varying components. LMIs are used to design the key observer parameters in order to minimize the effect of uncertainty and measurement corruption on the fault reconstruction signal. The faults are reconstructed using the output error injection signal associated with the nonlinear term of the sliding mode observer. For sensor fault reconstruction, the idea is to re-formulate the problem into an actuator fault reconstruction scenario so that the same design procedure can be applied. This is achieved by augmenting the original system with the filtered sensors being monitored. Simulations using a full nonlinear model of a large transport aircraft are presented, and show good fault reconstruction performance.

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Robustness Analysis of Integrated LPV-FDI Filters and LTI-FTC System for a Transport Aircraft

Cited by 15 publications

References 20 publications

Real-time implementation of an Integral Sliding Mode Fault Tolerant Control scheme for LPV plants

Real-time implementation of an Integral Sliding Mode Fault Tolerant Control scheme for LPV plants

Bridging the gap between theory and practice in LPV fault detection for flight control actuators

Robust fault reconstruction for linear parameter varying systems using sliding mode observers

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