Individual Pitch Angle Control of a Variable Speed Wind Turbine Using Adaptive Fractional Order Non-Singular Fast Terminal Sliding Mode Control

Aghaeinezhad, S. Morteza; Taghizadeh, Mohammad Javad; Mazare, Mahmood; Kazemi, Mohamad Ghasem

doi:10.1007/s12541-020-00439-0

Cited by 15 publications

(7 citation statements)

References 16 publications

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“…Once the sliding surface σ=0 is achieved within a finite time, the robotic manipulators system are govern by ė = −KS nl (e) (32) Derived from Eq. ( 13), the sliding surface of the robotic system can be characterized by two distinct processes.…”

Section: Stability Analysismentioning

confidence: 99%

“…Over the years, various control methods, including adaptive control [31][32][33][34], robust control [35,36], model predictive control [37], fuzzy control [35], neural network control [28,38], and sliding mode control (SMC) [28][29][30][31], have been extensively employed for the trajectory tracking control of uncertain robotic manipulators. Among these methods, SMC theory has gained favor among researchers due to its fast convergence, high accuracy, and strong disturbance rejection capabilities [39].…”

Section: Introductionmentioning

confidence: 99%

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Robust Adaptive Nonlinear Admittance Control of Robotic Manipulators with Extra-Intra Uncertainties and Disturbances

Zhang,

Chen,

Zhang

2024

Preprint

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This paper focuses on achieving rapid convergence in finite time for robust trajectory tracking of robotic manipulators, which upper-bound uncertainties are unknown. To address the issues of excessive control torque and control reversal at the initial stage, a novel Robust Adaptive Fast Terminal Sliding Mode Control (RAF-TSMC) method is developed. The proposed method provides faster transient response, higher steady-state tracking accuracy, and can eliminate singularities and mitigate chattering effects. To enhance the physical collaboration in human-robot interactions, a novel Nonlinear Admittance Control method with RAF-TSMC is proposed, which benefits from adaptive compliance characteristics of Nonlinear Admittance Control with RAF-TSMC. This improves suppleness and flexibility of human-robot interaction in uncertain environments. Finally, the proposed controller is validated using a two-link robotic manipulator subjected to uncertainty and external forces. The results demonstrate that the proposed RAF-TSMC controller can effectively minimize tracking errors and convergence time, and the proposed Nonlinear Admittance Control with RAF-TSMC can enhances the flexibility and adaptability of the robot system.

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Section: Stability Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust Adaptive Nonlinear Admittance Control of Robotic Manipulators with Extra-Intra Uncertainties and Disturbances

Zhang,

Chen,

Zhang

2024

Preprint

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“…A pitch actuator fault tolerant control strategy was proposed by Mazare et al 5 in which the proposed composite tolerant control entails a nonlinear disturbance observer and an adaptive sliding mode controller to compensate for the effects of actuator faults. Mechanical loads were mitigated by adaptive sliding mode control in Reference 6 where an individual pitch controller was designed by incorporating new adaptation laws into the base control framework. In order to maintain the rated rotor speed, an efficient control scheme using combination of back‐stepping, sliding mode, and adaptive control was designed in order to handle the damaging effects of actuator faults in the presence of exogenous disturbances and parametric uncertainties 7 .…”

Section: Introductionmentioning

confidence: 99%

Attack‐resilient pitch angle control for variable‐speed wind turbine systems under cyber threats

Mazare

Taghizadeh

Asharioun

2023

Adaptive Control & Signal

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Sustainable energy has captured special attention, particularly wind energy which makes wind farms as an attractive target for cyber threats specifically those impinging network cyber subsystems and control protocols. Given the significance of such issue, this article presents a novel anomaly-based resilient pitch angle control methodology by incorporating fixed-time high-order sliding mode observer and adaptive sliding-based controller. The main objective is to supply the required power through adjusting the pitch angle under cyber threat and exogenous disturbance. Residual has been evaluated using the output of the high-order observer in order to detect the cyber-attacks. Once the anomaly detector detects the cyber-attack, its detrimental effects are compensated through the proposed adaptive resilient control framework. The finite-time stability analysis of the closed-loop system is performed through Lyapunov theory. Comprehensive studies are performed on a WindPact 1.5 MW wind turbine system, and validation results verify the effectiveness and resiliency of the proposed resilient control strategy in nullifying the detrimental network and physical effects of cyber-attacks.

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“…In Refs. [36,37], in order to solve the system affected by un-certainty and external disturbance, a fractional-order non-singular TSMC strategy is proposed to further improve the dynamic characteristics. In Refs.…”

Section: Introductionmentioning

confidence: 99%

Research on Fractional-Order Global Fast Terminal Sliding Mode Control of MDF Continuous Hot-Pressing Position Servo System Based on Adaptive RBF Neural Network

et al. 2022

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In this paper, a novel fractional-order global fast terminal sliding mode control (FGFTSMC) strategy based on an adaptive radial basis function (RBF) neural network is proposed to improve the performance of a medium density fiberboard (MDF) continuous hot-pressing position servo system with parameter perturbation and external load disturbance. Primarily, the mathematical model of the MDF continuous hot-pressing position servo system is constructed based on the dynamic equation of the hydraulic system. Then, a FGFTSMC is designed to speed up the convergence rate of the system, in which an adaptive law is used to estimate the upper bound of the unknown parameters to overcome the existing parameter perturbation of the system. In addition, an RBF neural network is introduced to approximate the external load disturbance of the system. The stability of MDF continuous hot-pressing position servo system based on the control scheme developed in this paper is proven using the Lyapunov theory. Finally, the simulation results show that the presented control scheme can effectively ensure the tracking accuracy of the system and enhance the robustness of the system.

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Individual Pitch Angle Control of a Variable Speed Wind Turbine Using Adaptive Fractional Order Non-Singular Fast Terminal Sliding Mode Control

Cited by 15 publications

References 16 publications

Robust Adaptive Nonlinear Admittance Control of Robotic Manipulators with Extra-Intra Uncertainties and Disturbances

Robust Adaptive Nonlinear Admittance Control of Robotic Manipulators with Extra-Intra Uncertainties and Disturbances

Attack‐resilient pitch angle control for variable‐speed wind turbine systems under cyber threats

Research on Fractional-Order Global Fast Terminal Sliding Mode Control of MDF Continuous Hot-Pressing Position Servo System Based on Adaptive RBF Neural Network

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