Adaptive Fault-Tolerant Boundary Control of an Autonomous Aerial Refueling Hose System With Prescribed Constraints

Liu, Zhijie; Han, Zhiji; He, Wei

doi:10.1109/tase.2021.3070140

Cited by 39 publications

(11 citation statements)

References 40 publications

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“…To solve problem of dynamic regulation of distributed system, Bakhouya et al 51 proposed an adaptive immune‐inspired approach for dynamic regulation of mobile agent population size in a distributed network. Liu et al 52 compensated for actuator fault by combining with adaptive method. Chen et al 53 and Soriano et al 54 adopted an adaptive large neighborhood search method, which improved performance of their algorithms.…”

Section: Introductionmentioning

confidence: 99%

An adaptive immune‐following algorithm for intelligent optimal schedule of multiregional agricultural machinery

Jiang

Yang

et al. 2022

Int J of Intelligent Sys

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Aiming at low efficiency of agricultural machinery scheduling, this paper proposes an adaptive immune-following algorithm (AIFA) based on immune algorithm and artificial fish swarm algorithm. The adaptive crossover operator is used to accelerate convergence, and adaptive mutation operator ensures good diversity of population. After the adaptive evolution operations are performed, the following operator based on the following behavior of artificial fish swarm algorithm is embedded into the algorithm, which improves the convergence precision and obtains the promising optimization results. Experiments on scheduling considering the breakdown of agricultural machinery are performed based on multiple regions and multiple agricultural machineries. Compared with the immune algorithm and genetic algorithm, the simulation results demonstrate that AIFA can converge faster and achieve a better optimal solution.

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Section: Introductionmentioning

confidence: 99%

An adaptive immune‐following algorithm for intelligent optimal schedule of multiregional agricultural machinery

Jiang

Yang

et al. 2022

Int J of Intelligent Sys

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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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Adaptive fuzzy backstepping control of flexible marine riser with uncertain parameters and input saturation constraint

Wan

Zhou

Zhang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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To suppress the vibration of a flexible riser system with input saturation and uncertain parameters under the influence of unknown external disturbances, an adaptive fuzzy backstepping boundary control algorithm was designed. First, the backstepping method and Lyapunov function are used to analyze the subsystem and design the virtual control law. On this basis, the adaptive fuzzy system was designed to approximate the unknown nonlinear term in the design process, and the smooth hyperbolic tangent function and the auxiliary system based on Nussbaum function were introduced to limit control input. The stability and uniform boundedness of the closed-loop control system are proved by the Lyapunov stability theory without simplifying or discretizing the infinite dimensional dynamic model. Finally, the effectiveness of the proposed control algorithm is verified by comparing the control effect with proportional–integral–derivative control and the previous adaptive backstepping control by MATLAB simulation. The simulation results show that the proposed control algorithm can overcome the uncertainty of system parameters and effectively suppress the riser vibration under input constraints, and its control effect is better than proportional–integral–derivative control and adaptive backstepping control.

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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%

Active boundary control of vibrating marine riser with constrained input in three-dimensional space

et al. 2021

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The vibration control of three-dimensional flexible marine riser system with constrained control input is studied in this paper. Combining backstepping method and Lyapunov direct method, an appropriate boundary control which includes smooth hyperbolic tangent function is employed to reduce the vibration of riser system. An auxiliary system which is developed based on Nussbaum function is proposed to tackle with nonlinear constrained input. The closed-loop system is stable ultimately, and the displacement of riser is uniformly bounded which can be proven by Lyapunov synthesis without any discretization or simplification of the dynamic in the time and space. Moreover, the effectiveness of proposed boundary control is illustrated by comparing with SMC (sliding mode control) in the simulation part. The simulation results show that the proposed control can achieve better control performance with a constrained input.

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Adaptive Fault-Tolerant Boundary Control of an Autonomous Aerial Refueling Hose System With Prescribed Constraints

Cited by 39 publications

References 40 publications

An adaptive immune‐following algorithm for intelligent optimal schedule of multiregional agricultural machinery

An adaptive immune‐following algorithm for intelligent optimal schedule of multiregional agricultural machinery

Adaptive fuzzy backstepping control of flexible marine riser with uncertain parameters and input saturation constraint

Active boundary control of vibrating marine riser with constrained input in three-dimensional space

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