Robust Fault-Tolerant Control of Wind Turbine Systems Against Actuator and Sensor Faults

Shaker, Montadher Sami; Kraidi, Asaad A.

doi:10.1007/s13369-017-2525-z

Cited by 15 publications

(3 citation statements)

References 23 publications

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“…Although the online implementation of BFO can be computationally intensive, it provides a powerful tool for optimizing complex systems in real-time. Importantly, there are several approaches to enhance the convergence rate of the BFO algorithm [44,45]. First, the step size, the number of chemotactic steps, and the number of elimination-dispersal steps can be optimized to improve the performance of the algorithm.…”

Section: Design Of Pid Controllermentioning

confidence: 99%

Robust integration of fault estimation and sliding mode fault‐tolerant control for interconnected systems against sensor fault

Abdul‐Jaleel,

Shaker

2023

Asian Journal of Control

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This paper provided a robust strategy for controlling nonlinear interconnected large‐scale systems subject to a sensor fault. The inherent challenge in controlling such systems is to sustain robust closed‐loop stability and performance in nonlinear interactions, faults, and exogenous inputs. A new closed‐loop structure has been devised to tackle this challenge by integrating the sliding mode controller with the unknown input observer. By exploiting the decoupling capability of the controller and observer, this integration ensures the robustness of the closed‐loop system against the simultaneous effect of interaction, fault, and disturbance. In this context, the unknown input observer has been constructed to supply the controller with an accurate sensor fault assessment despite additional unknown inputs. A novel approach is proposed for designing a decentralized fault‐tolerant control system that utilizes sliding mode control and proportional‐integral‐derivative controller tuning via a bacterial foraging optimization algorithm to compensate for the fault effect, leading to a robust output performance. The observer and controller gains are accomplished by utilizing the H∞ performance and linear matrix inequality formulation. The Lyapunov technique is used to demonstrate stability. A power system model emphasizes the proposed approach's robustness and effectiveness. The system performance with and without the proposed controller was compared, where the simulation results show a fast reaction to offset undesirable impacts, whereas the state estimation error approaches to zero in each subsystem.

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Section: Design Of Pid Controllermentioning

confidence: 99%

Robust integration of fault estimation and sliding mode fault‐tolerant control for interconnected systems against sensor fault

Abdul‐Jaleel,

Shaker

2023

Asian Journal of Control

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“…For this consideration, the investigation of control design for WECS with actuator faults becomes a significant problem. In this circumstance, the fault‐tolerant control is a powerful control approach that can abide the component failure and affirm the satisfactory performance when a fault occurs 23,24 . For example, Wu et al 25 have analyzed the fault‐tolerant control for wind power generation systems, to enhance the MPPT performance and safety reliability.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy‐dependent switched fault‐tolerant tracking control for permanent magnet synchronous generator‐based wind energy conversion system

Subramanian

Joo

2022

Adaptive Control & Signal

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This article investigates the switched fault-tolerant tracking control techniques for a permanent magnet synchronous generator (PMSG)-based variable-speed wind energy conversion system (WECS) subject to actuator faults. To do this, a Takagi-Sugeno fuzzy model is exploited to delineate the nonlinear WECS composed of a PMSG and wind turbine. By using the switching technique and Lyapunov functional including membership function information, fault-tolerant tracking control is proposed to effectively track the optimal trajectory of PMSG-based WECS states with known and unknown actuator faults. Also, the stabilization conditions are derived in the form of linear matrix inequality to determine the control gains, which assures the maximum power output and enhance the system performance. Meanwhile, the H ∞ performance index is presented with membership function, for attenuating the load torque disturbance of WECS. Finally, the superiority and benefit of presented method are validated by numerical simulations.

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“…Faults identification methodologies are considered in many research works in the existence of oscillatory failure case (Varga & Ossmann, 2012) as well as in the existence of sensor jamming and runway case (Gheorghe et al , 2013). Proportional-proportional-integral-observer (PPIO) and sliding-mode control are suggested for wind turbine blade pitch system under the existence of faults of sensors and sensors (Montadhe et al , 2013). The fault detection (FD) and isolation approach is suggested for the quadrotor unmanned aerial vehicle with the consideration of total or partial actuator failure; in their approach, they have used linear time-varying observer for the actuator FD (Guzmán-Rabasa et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

Adaptive rapid neural observer-based sensors fault diagnosis and reconstruction of quadrotor unmanned aerial vehicle

Taimoor

Maqsood³

et al. 2021

AEAT

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Purpose The objective of this research is to investigate various neural network (NN) observer techniques for sensors fault identification and diagnosis of nonlinear system in consideration of numerous faults, failures, uncertainties and disturbances. For the importunity of increasing the faults diagnosis and reconstruction preciseness, a new technique is used for modifying the weight parameters of NNs without enhancement of computational complexities. Design/methodology/approach Various techniques such as adaptive radial basis functions (ARBF), conventional radial basis functions, adaptive multi-layer perceptron, conventional multi-layer perceptron and extended state observer are presented. For increasing the fault detection preciseness, a new technique is used for updating the weight parameters of radial basis functions and multi-layer perceptron (MLP) without enhancement of computational complexities. Lyapunov stability theory and sliding-mode surface concepts are used for the weight-updating parameters. Based on the combination of these two concepts, the weight parameters of NNs are updated adaptively. The key purpose of utilization of adaptive weight is to enhance the detection of faults with high accuracy. Because of the online adaptation, the ARBF can detect various kinds of faults and failures such as simultaneous, incipient, intermittent and abrupt faults effectively. Results depict that the suggested algorithm (ARBF) demonstrates more confrontation to unknown disturbances, faults and system dynamics compared with other investigated techniques and techniques used in the literature. The proposed algorithms are investigated by the utilization of quadrotor unmanned aerial vehicle dynamics, which authenticate the efficiency of the suggested algorithm. Findings The proposed Lyapunov function theory and sliding-mode surface-based strategy are studied, which shows more efficiency to unknown faults, failures, uncertainties and disturbances compared with conventional approaches as well as techniques used in the literature. Practical implications For improvement of the system safety and for avoiding failure and damage, the rapid fault detection and isolation has a great significance; the proposed approaches in this research work guarantee the detection and reconstruction of unknown faults, which has a great significance for practical life. Originality/value In this research, two strategies such Lyapunov function theory and sliding-mode surface concept are used in combination for tuning the weight parameters of NNs adaptively. The main purpose of these strategies is the fault diagnosis and reconstruction with high accuracy in terms of shape as well as the magnitude of unknown faults. Results depict that the proposed strategy is more effective compared with techniques used in the literature.

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Robust Fault-Tolerant Control of Wind Turbine Systems Against Actuator and Sensor Faults

Cited by 15 publications

References 23 publications

Robust integration of fault estimation and sliding mode fault‐tolerant control for interconnected systems against sensor fault

Robust integration of fault estimation and sliding mode fault‐tolerant control for interconnected systems against sensor fault

Fuzzy‐dependent switched fault‐tolerant tracking control for permanent magnet synchronous generator‐based wind energy conversion system

Adaptive rapid neural observer-based sensors fault diagnosis and reconstruction of quadrotor unmanned aerial vehicle

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