Reconfiguration of flight control systems for actuator failures

Bajpai, Gaurav; Chang, B.C.; Lau, A.

doi:10.1109/dasc.2000.886932

Cited by 8 publications

(17 citation statements)

References 6 publications

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“…In active FTC schemes, the mixer W is reconfigured to maintain the desired resultant action, for example, force in mechanical systems [41]. For instance, some estimate of the actuator gain matrix F(t) provided by an FDI subsystem can be used to compute the mixer matrix as in [17,19].…”

Section: Ftc Strategymentioning

confidence: 99%

Output‐feedback sliding‐mode control for systems subjected to actuator and internal dynamics failures

Cunha¹,

Costa

Hsu

et al. 2015

IET Control Theory & Applications

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This study presents an output-feedback control algorithm based on unit vector sliding mode for a class of multivariable systems. The control objective is to force each output signal to track a desired reference trajectory, while retaining good performance despite parameter uncertainties, unmatched disturbances and actuators faults that eventually may occur in the plant. Owing to the new approach proposed to tackle this problem, which involves a linear matrix inequality to be satisfied by the control distribution matrix, no upper bound on this matrix is required. Moreover, a remarkable result is that the proposed fault-tolerant controller can even handle variations in the order of the system dynamics. The analysis shows that the resulting closed-loop system is globally exponentially stable. A simulation example with a chain of trailers driven by redundant actuators illustrates the design and effectiveness of the proposed strategy.

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Section: Ftc Strategymentioning

confidence: 99%

Output‐feedback sliding‐mode control for systems subjected to actuator and internal dynamics failures

Cunha¹,

Costa

Hsu

et al. 2015

IET Control Theory & Applications

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show abstract

“…The matrices H i describe the dynamics of the system (4), (8) in the matched case for all i D 1, N . The choice of the matrices H i , i D 1, N can be also performed in a way providing desired quality of disturbance attenuation in the closed-loop system (4), (8). For the unmatched case, connection of the plant (4) with the index i and the control (8) with the index j ¤ i may be unstable.…”

Section: Assumptionmentioning

confidence: 99%

“…Among various methods proposed in the literature, we can refer to the following: the pseudo inverse method [8][9][10][11] recently revisited by [12], the (finite-time horizon) linear quadratic approach [13][14][15][16], the eigenstructure assignment technique [17][18][19], H 1 control theory [20,21], the adaptive control method [22][23][24], and the model predictive control approach [25][26][27]. In the aerospace community, the control allocation technique is rather popular; see for instance [28,29], where closed-loop and open-loop performances are compared for 16 different control allocation approaches.…”

Section: Introductionmentioning

confidence: 99%

Supervisory fault‐tolerant control with mutual performance optimization

Efimov

Cieslak

Henry

2012

Adaptive Control & Signal

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The problem of active fault-tolerant control with reconfiguration mechanism for uncertain linear systems with external disturbances is addressed applying the supervisory control approach. A key feature of the proposed approach is establishment of a set of conditions providing mutual performance in the sense of taking into account the interaction of the fault detection, isolation, and accommodation subsystems in order to achieve global fault-tolerance performance with guaranteed global stability. The efficiency of the approach is demonstrated in an example of computer simulation for a flight system benchmark.

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“…Thus, the actuator control signal would be given by u = Wu. In the event of some actuator failure, the mixer W is reconfigured to maintain the desired resultant force [24]. Here, it is adopted a passive fault tolerant control approach based on the UV-MRAC and an appropriate constant mixer matrix (S T ) such that the closed loop system stability and tracking performance are immune to some actuator faults.…”

Section: Application Examplementioning

confidence: 99%

Model‐reference Output‐feedback Sliding Mode Controller for a Class of Multivariable Nonlinear Systems

Hsu

Costa

Cunha

2003

Asian Journal of Control

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This paper proposes an output-feedback sliding mode control design for a class of uncertain multivariable plants with nonlinear disturbances. The approach used here is based on the control parameterization employed in model-reference adaptive control. The disturbances are allowed to be unmatched and to depend not only on the plant output but also on its unmeasurable state. A less restrictive condition on the uncertainty of the high frequency gain matrix is also obtained.Lemma 4. Let r(t) be an absolutely continuous scalar function. Suppose r(t) is nonnegative and while r > 0 it satisfies r = ≤ −δγr + R exp(−λt) where δ, γ, λ,

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Reconfiguration of flight control systems for actuator failures

Cited by 8 publications

References 6 publications

Output‐feedback sliding‐mode control for systems subjected to actuator and internal dynamics failures

Output‐feedback sliding‐mode control for systems subjected to actuator and internal dynamics failures

Supervisory fault‐tolerant control with mutual performance optimization

Model‐reference Output‐feedback Sliding Mode Controller for a Class of Multivariable Nonlinear Systems

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