Wind turbines robust fault reconstruction using adaptive sliding mode observer

Taherkhani, Ashkan; Bayat, Farhad

doi:10.1049/iet-gtd.2018.6736

Cited by 14 publications

(10 citation statements)

References 35 publications

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“…SMC approach is an advanced high-performance design technique which has found widespread applications, such as robotics [18], [28], [35], energy and power systems [25], [36], aero-space [27], [37], and automotive control [10], [15], because of its proven capability of coping with the real-world uncertainties and disturbances. Here the aim is to propose a TSMC law by introducing an appropriate sliding surface to achieve the desired longitudinal force F xdes , and yaw momentum M zdes guaranteeing the finite-time convergence and tracking purpose of the reference model in the existence of external disturbances and parameter uncertainties.…”

Section: B Upper-layer Control Designmentioning

confidence: 99%

Robust Performance Improvement of Lateral Motion in Four-Wheel Independent-Drive Electric Vehicles

et al. 2020

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Section: B Upper-layer Control Designmentioning

confidence: 99%

Robust Performance Improvement of Lateral Motion in Four-Wheel Independent-Drive Electric Vehicles

et al. 2020

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“…Among them, fault detection and isolation (FDI) methods play a pivotal role in making the process reliable. The sensor and actuator faults are known as the most frequent faults that occur in many control systems such as satellite/aircraft [1,2], wind turbines [3,4], vehicles suspension system [5,6], offshore platforms [7], motor drives [8], power systems, and renewable energies [9,10]. In the event of a fault occurrence, the reliability and efficiency of the system are severely affected, and thus, the fault reconstruction is an important issue in the context of FDI approaches, and various types of research have been done in this field.…”

Section: Introductionmentioning

confidence: 99%

Generalized Sliding Mode Observers for Simultaneous Fault Reconstruction in the Presence of Uncertainty and Disturbance

et al. 2022

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In this paper, a generalized sliding mode observer design method is proposed for the robust reconstruction of sensors and actuators faults in the presence of both unknown disturbances and uncertainties. For this purpose, the effect of uncertainty and disturbance on the system has been considered in generalized state-space form, and the LMI tool is combined with the concept of an equivalent output error injection method to reduce the effects of them on the reconstruction process. The upper bound of the disturbance and uncertainty are minimized in the design of the sliding motion so that the reconstruction of the faults will be minimized. The design method is applied for actuator faults in the generalized state-space form, and then with some suitable filtering, the method extends as sensors and actuators coincidentally faults. Since in the proposed approach, the state trajectories do not leave the sliding manifold even in simultaneous sensors and actuators faults, then the faults are reconstructed based upon information retrieved from the equivalent output error injection signal. Due to the importance of the robust fault reconstruction in the wind energy conversion system (WECS), the proposed approach is successfully applied to a 5 MW wind turbine system. The simulation results verify the robust performances of the proposed approach in the presence of unknown perturbations and uncertainties.

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“…Among them, the sliding mode control (SMC) as an effective robust control method has received many applications because of its exceptional robustness against uncertainties and disturbances, guaranteed stability properties, computational and implementation easiness, fast response and excellent transient performance with respect to other control schemes [10,11]. The sliding mode control method has been prosperously applied to a broad diversity of practical linear and nonlinear systems such as nonholonomic systems [12,13], robot manipulators [14], aircraft [15], spacecraft [16,17], underwater vehicles [18], chaotic systems [19], electrical motors [20], and power systems [21,22]. The algorithm of SMC comprises two different phases, i.e., reaching and sliding phases [23].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Global Sliding Mode Controller Design for Perturbed DC-DC Buck Converters

et al. 2021

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This paper proposes a novel adaptive intelligent global sliding mode control for the tracking control of a DC-DC buck converter with time-varying uncertainties/disturbances. The proposed control law is formulated using a switching surface that eliminates the reaching phase and ensures the existence of the sliding action from the start. The control law is derived based on the Lyapunov stability theory. The effectiveness of the proposed approach is illustrated via high-fidelity simulations by means of Simscape simulation environment in MATLAB. Satisfactory tracking accuracy, efficient suppression of the chattering phenomenon in the control input, and high robustness against uncertainties/disturbances are among the attributes of the proposed control approach.

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Wind turbines robust fault reconstruction using adaptive sliding mode observer

Cited by 14 publications

References 35 publications

Robust Performance Improvement of Lateral Motion in Four-Wheel Independent-Drive Electric Vehicles

Robust Performance Improvement of Lateral Motion in Four-Wheel Independent-Drive Electric Vehicles

Generalized Sliding Mode Observers for Simultaneous Fault Reconstruction in the Presence of Uncertainty and Disturbance

Adaptive Global Sliding Mode Controller Design for Perturbed DC-DC Buck Converters

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