2022
DOI: 10.1016/j.apor.2022.103126
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Robust finite-time fault-tolerant control for dynamic positioning of ships via nonsingular fast integral terminal sliding mode control

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Cited by 29 publications
(7 citation statements)
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“…Furthermore, considering propulsion failure, jamming and interruption, Benetazzo et al [122] used a supervisor to isolate faults and proposed a discrete-time variable structure fault-tolerant DP controller by combining multi-frequency Kalman filtering and robust observer. In [65,123], possible parameter uncertainties, adaptive fault-tolerant controllers for infinite-time and finite-time scenarios were established. In [124], by utilizing the T-S fuzzy modeling approach to linearize the nonlinear DP model and combining event-triggered mechanisms, a fault-tolerant DP control scheme was presented by solving LMIs.…”
Section: Fault-tolerant Control Designmentioning
confidence: 99%
“…Furthermore, considering propulsion failure, jamming and interruption, Benetazzo et al [122] used a supervisor to isolate faults and proposed a discrete-time variable structure fault-tolerant DP controller by combining multi-frequency Kalman filtering and robust observer. In [65,123], possible parameter uncertainties, adaptive fault-tolerant controllers for infinite-time and finite-time scenarios were established. In [124], by utilizing the T-S fuzzy modeling approach to linearize the nonlinear DP model and combining event-triggered mechanisms, a fault-tolerant DP control scheme was presented by solving LMIs.…”
Section: Fault-tolerant Control Designmentioning
confidence: 99%
“…Furthermore, to demonstrate the effectiveness and superiority of the proposed method, the comparative simulation between the proposed method and the control strategies based on the extended state observer (ESO) [44] with super-twisting sliding mode visual servo controller (ESO-STSMVSC), and the control strategies based on the iterative learning fault observer with traditional sliding mode visual servo controller [38] (ILFO-SMVSC). The control objective is to make the image feature point track the desired trajectory.…”
Section: Casementioning
confidence: 99%
“…A high-order sliding mode observer that improves convergence speed by adding a linear term was proposed in [33] to estimate joint fault status, and Lyapunov theory was used to demonstrate the system's finite-time stability. In designing fault-tolerant controllers for robotic arms, fuzzy logic controller [34], neural network controller [35], and sliding mode controller [36][37][38][39] have been adopted to input appropriate joint torques. Among them, the sliding mode control method has been widely studied due to its advantages of a simple design process and strong robustness.…”
Section: Introductionmentioning
confidence: 99%
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“…The sliding mode control law can be expressed as the sum of equivalent controls and switching robust controls [9].…”
Section: Design Of Equivalent Sliding Mode Controllermentioning
confidence: 99%