Event-Triggered Robust Adaptive Sliding Mode Fault-Tolerant Control For Nonlinear Systems

Guo, Bin; Chen, Yong

doi:10.1109/tii.2019.2959658

Cited by 49 publications

(21 citation statements)

References 30 publications

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“…Hence, in recent years, several techniques have been developed to estimate unknown fault behavior, e.g. using adaptive feedback gains, that successively adapt the control values [13], or by integrating an observer that estimates the consequences of an actuator fault [17]. Thus, the maximal impact of faults no longer needs to be known but is determined during fault handling.…”

Section: Related Workmentioning

confidence: 99%

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AutoConf: New Algorithm for Reconfiguration of Cyber-Physical Production Systems

Balzereit

Niggemann

2023

IEEE Trans. Ind. Inf.

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The increasing size and complexity of Cyber-Physical Production Systems (CPPS) lead to an increasing number of faults such as broken components or interrupted connections. Nowadays, faults are handled manually which is time-consuming because for most operators mapping from symptoms (i.e. warnings) to repair instructions is rather difficult. To enable CPPS to adapt to faults autonomously, reconfiguration, i.e. the identification of a new configuration that allows either reestablishing production or a safe shutdown, is necessary. This article addresses the reconfiguration problem of CPPS and presents a novel algorithm called AutoConf. AutoConf operates on a hybrid automaton that models the CPPS and a specification of the controller to construct a qualitative system model. This qualitative system model is based on propositional logic and represents the CPPS in the reconfiguration context. Evaluations on an industrial use case and simulations from process engineering illustrate the effectiveness and examine the scalability of AutoConf.

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Section: Related Workmentioning

confidence: 99%

“…6) Novelty of Our Approach: Table I summarizes the capabilities and limitations of existing approaches from FTC, e.g. [13], [17], [18], MBD, e.g. [9], [11], [15], MAS, e.g.…”

Section: Related Workmentioning

confidence: 99%

AutoConf: New Algorithm for Reconfiguration of Cyber-Physical Production Systems

Balzereit

Niggemann

2023

IEEE Trans. Ind. Inf.

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“…Representatively, Jiang et al (2020), Shah et al (2020), and Wang et al (2021) proposed an event-triggered sliding control method for uncertain nonlinear systems. Guo and Chen (2020) put forward an event-triggered sliding mode method for nonlinear systems with actuator faults. Liu et al (2019) and Yan et al (2021) proposed an event-triggered output feedback sliding mode control.…”

Section: Introductionmentioning

confidence: 99%

“…Liu et al (2019) and Yan et al (2021) proposed an event-triggered output feedback sliding mode control. Notably, there are still some limitations in the practical applications of the above researches: (1) the chattering phenomenon has not been considered in Guo and Chen (2020), Jiang et al (2020), Shah et al (2020), Wang et al (2021), and Yan et al (2021); (2) in Liu et al (2019), the practical stability can be guaranteed asymptotically rather than in finite time; and (3) the actuator fault of controlled plants cannot be addressed in Jiang et al (2020), Liu et al (2019), Shah et al (2020), Wang et al (2021), and Yan et al (2021).…”

Section: Introductionmentioning

confidence: 99%

Event-triggered adaptive sliding mode control for steer-by-wire systems with actuator fault

Ma²,

Wang

2023

Transactions of the Institute of Measurement and Control

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The event-triggered tracking control is studied for the steer-by-wire (SbW) system with actuator fault, inaccurate dynamic model, and external disturbance. First, an adaptive sliding mode control based on event-triggering mechanism is proposed. The lumped nonlinearity, including friction torque and self-aligning torque of SbW systems, is approximated by an adaptive robust radial basis function neural network (RBFNN). Robust terms of sliding mode control attenuate the negative effects of the actuator fault, modeling error, external disturbance, and event-triggering error on control performance. More importantly, the sliding-mode high-frequency switching control appears in the high-order derivative of sliding variable without increasing the input–output relative degree, thereby eliminating chattering. Furthermore, the designed method can achieve the practical finite-time stability. The proposed event-triggering mechanism can strictly exclude Zeno behavior and economize the communication resources. Finally, simulations and experiments show the effectiveness of the proposed algorithm.

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“…In this case, the energy consumption of the controller component is mitigated, which causes the actuator wear to slow down. At the same time, the computational burden and the communication resource may be also reduced [2] [25]. Based on these characteristics, a great deal of representative contributions for linear or nonlinear systems have been reported [19]- [29].…”

mentioning

confidence: 99%

Relative Threshold-Based Event-Triggered Control for Nonlinear Constrained Systems With Application to Aircraft Wing Rock Motion

Liu

Tong

2022

IEEE Trans. Ind. Inf.

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Event-Triggered Robust Adaptive Sliding Mode Fault-Tolerant Control For Nonlinear Systems

Cited by 49 publications

References 30 publications

AutoConf: New Algorithm for Reconfiguration of Cyber-Physical Production Systems

AutoConf: New Algorithm for Reconfiguration of Cyber-Physical Production Systems

Event-triggered adaptive sliding mode control for steer-by-wire systems with actuator fault

Relative Threshold-Based Event-Triggered Control for Nonlinear Constrained Systems With Application to Aircraft Wing Rock Motion

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