Adaptive Finite-Time Fault-Tolerant Control of Uncertain Systems With Input Saturation

Fang, Xinpeng; Fan, Huijin; Wang, Wei; Liu, Lei; Wang, Bo; Cheng, Zhongtao

doi:10.1109/tsmc.2022.3170573

Cited by 23 publications

(14 citation statements)

References 37 publications

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“…This kind of parameterized failure model has been applied in many literature, such as References 11,12,34‐36. Compared with Reference 37, the failure model used in our article contains more fault information. Therefore, rended by the designed controller, a better system control performance can be seen in Figures 5–8.…”

Section: Problem Formulationmentioning

confidence: 99%

Adaptive compensation control of nonlinear systems with unknown actuator failures

Lü

Zhang

2023

Intl J Robust & Nonlinear

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In this paper, by using bound estimation method, Nussbaum function, K‐filters and higher‐order Lyapunov function, an adaptive output feedback compensation control scheme is proposed for uncertain nonlinear systems with infinite number of actuator failures and unknown control direction. A parametric model with unknown system uncertainties and infinite actuator failures is established, which is different from the existing results. This scheme ensures that closed‐loop signals are globally uniformly bounded. By properly selecting the design parameters, the tracking errors converges to a small neighborhood of the origin. Finally, two simulation examples are given to demonstrate its efficiency of the proposed design scheme.

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Section: Problem Formulationmentioning

confidence: 99%

Adaptive compensation control of nonlinear systems with unknown actuator failures

Lü

Zhang

2023

Intl J Robust & Nonlinear

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“…In this article, the main contributions of our research can be summarized as follows: In contrast to the non‐differentiable discontinuous function used in [38], a modified smooth switching function [39] is applied in the auxiliary system to compensate for the effect of the saturation in the dynamic surface control design, with which not only the non‐linear term arising from the input saturations can be alleviated but also smoother control signals can be provided. As such, this system can automatically be reinstated and respond whenever input saturation reoccurs after convergence, unlike the auxiliary systems in [40].…”

Section: Introductionmentioning

confidence: 99%

Saturated adaptive feedback control of electrical‐optical gyro‐stabilized platform based on cascaded adaptive extended state observer with complex disturbances

Yang

2023

IET Control Theory & Appl

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It is still an open and challenging issue to the typical position control problems of the three-axis electrical-optical gyro-stabilized platform systems (TEOGSP), due to inherent characteristics, for example, measurement noise, input saturation, parametric uncertainties, largely unknown load disturbance. To solve this problem, a saturated adaptive robust feedback controller using an adaptive cascaded extended state observer (SAFCESO) is proposed for compromising between the measurement noise effect and the sensitivity to disturbances. Firstly, the matched and mismatched disturbances existing in the TEOGSP system are estimated and rejected by the cascaded adaptive extended state observers (CESO). Secondly, the parametric uncertainties are evaluated by the adaptive control, and the match disturbances are attenuated by the robust control. Moreover, the adaptive robust control law does not require the velocity measurement signal and internal dynamics information of the system, which is practical to implement. Hence, all various uncertainties could be mainly compensated. Then, the improved auxiliary systems governed by smooth switching functions are developed and incorporated into the control design to compensate for the effect of the input saturation. Finally, the command filters are introduced to limit the magnitude of the virtual control and to calculate the derivative of the virtual control, respectively. The extensive comparative experimental results in the TEOGSP systems showed that the proposed SAFCESO method had superiorities in terms of high-precision tracking accuracy, robustness, and noise reduction.

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“…On the one hand, many distributed methods equipped with finite-time stability theory are proposed to address the networked control problems within a finite time. 9,[24][25][26] For example, Li et al 9 considered a formation control problem by employing a multi-layer distributed finite-time estimator. By developing an adaptive method, Fang et al 24 studied the finite-time state tracking problem with uncertain systems, where actuator faults and input saturation are involved.…”

Section: Introductionmentioning

confidence: 99%

“…9,[24][25][26] For example, Li et al 9 considered a formation control problem by employing a multi-layer distributed finite-time estimator. By developing an adaptive method, Fang et al 24 studied the finite-time state tracking problem with uncertain systems, where actuator faults and input saturation are involved. And a finite-time consensus control problem with nonlinear multi-agent systems is considered in Reference 25.…”

Section: Introductionmentioning

confidence: 99%

“…The finite‐time control problem has been intensively investigated, and its main reason comes down to the significant influence of the convergence rate on valuing the effectiveness of distributed algorithms. On the one hand, many distributed methods equipped with finite‐time stability theory are proposed to address the networked control problems within a finite time 9,24‐26 . For example, Li et al 9 considered a formation control problem by employing a multi‐layer distributed finite‐time estimator.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Nonlinear placement for networked Euler‐Lagrange systems: A finite‐time hierarchical approach

Liu

Ding

Yao

et al. 2022

Intl J Robust & Nonlinear

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The finite‐time nonlinear placement problem of networked Euler‐Lagrange systems (NELSs) is discussed in this paper. The problem is reformulated into a finite‐time aggregate game under an undirected graph. Then, several novel practical gradient‐based finite‐time hierarchical (GFTH) algorithms composed of a game layer, a Nash equilibrium (NE) seeking layer, and a control layer are proposed. Specifically, the game layer employs an aggregate function to reach a consensus on the potential aggregate value which is adopted by a gradient‐based finite‐time method to tackle the finite‐time NE seeking problem in the NE seeking layer, and then, the tracking problem is realized in the control layer. The convergence results are established by a nonsmooth Lyapunov function. In addition, the versatility of the GFTH algorithms is shown by extending to address the task‐space control problem of NELSs. The effectiveness of the proposed algorithms is illustrated via simulations.

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Adaptive Finite-Time Fault-Tolerant Control of Uncertain Systems With Input Saturation

Cited by 23 publications

References 37 publications

Adaptive compensation control of nonlinear systems with unknown actuator failures

Adaptive compensation control of nonlinear systems with unknown actuator failures

Saturated adaptive feedback control of electrical‐optical gyro‐stabilized platform based on cascaded adaptive extended state observer with complex disturbances

Nonlinear placement for networked Euler‐Lagrange systems: A finite‐time hierarchical approach

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