2021
DOI: 10.1177/1077546320986715
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Adaptive fault-tolerant boundary vibration control for a flexible aircraft wing against actuator and sensor faults

Abstract: The vibration control problem was investigated in this study in the presence of unknown loss of actuator effectiveness fault and loss of sensor effectiveness fault in a flexible aircraft wing system. A series of partial differential equations was used as the mathematical model of the wing with unknown boundary disturbances. An adaptive fault-tolerant boundary controller was designed accordingly. All signals of the closed-loop control system are globally uniformly bounded and the controlled state asymptotically… Show more

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Cited by 14 publications
(13 citation statements)
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“…In the work by Liu et al, 10 a joint control method of boundary control and iterative learning control based on finite dimensional backstepping control and Lyapunov direct method was proposed for vibration suppression of nonlinear flexible riser system affected by external disturbance. In the work by Liu and colleagues, 11,12 adaptive boundary control is applied to vibration control of flexible aircraft wing and an autonomous aerial refueling hose system, respectively, and good control results are obtained. In the work by Azimi et al, 13 a sliding mode observer was designed to estimate the uncertainty of ship mechanics and a fractional boundary control method was proposed to suppress the vibration of the riser combined with the backstepping method.…”
Section: Introductionmentioning
confidence: 99%
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“…In the work by Liu et al, 10 a joint control method of boundary control and iterative learning control based on finite dimensional backstepping control and Lyapunov direct method was proposed for vibration suppression of nonlinear flexible riser system affected by external disturbance. In the work by Liu and colleagues, 11,12 adaptive boundary control is applied to vibration control of flexible aircraft wing and an autonomous aerial refueling hose system, respectively, and good control results are obtained. In the work by Azimi et al, 13 a sliding mode observer was designed to estimate the uncertainty of ship mechanics and a fractional boundary control method was proposed to suppress the vibration of the riser combined with the backstepping method.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, the dynamic analysis and vibration control design of flexible riser systems have made important achievements. [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] For the practical marine flexible riser system, there often exist input nonlinearities which include the input deadzone, 22,23 saturation, 2,24,25 backlash, 26,27 hysteresis, 28,29 parameter uncertainty, and so on. These nonlinearities and uncertainty often lead to deterioration of system performance.…”
Section: Introductionmentioning
confidence: 99%
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“…Although the boundary control of flexible structure has acquired desired results, some of them ignore the problem of input nonlinearities, whereas the nonlinearities caused by physical limitation of system and the actuators cannot be ignored because they are almost impossible to be eliminated, for instance, actuator fault [13,14], hysteresis, saturation, dead zone [15] and backlash [16][17][18][19]. Particularly, input saturation commonly exists in industrial field, and ignoring it will degrade the performance of system and even make system unstable [20].…”
Section: Introductionmentioning
confidence: 99%
“…In this context, one of the major goals in the design of aerospace structures is to increase the efficiency of their dynamic responses to enhance their fatigue characteristics as well as their fluidstructure interaction stabilities. A wide range of vibration control devices have been proposed in the literature, characterized by passive, adaptive, semi-active [13,14] or active nature [15,16], and can be effectively implemented to achieve those design requirements. Of particular interest are the passive vibration attenuation devices.…”
Section: List Of Figuresmentioning
confidence: 99%