Wind Turbine Pitch Actuator Regulation for Efficient and Reliable Energy Conversion: A Fault-Tolerant Constrained Control Solution

Habibi, Hamed; Howard, Ian; Simani, Silvio

doi:10.3390/act11040102

Cited by 6 publications

(6 citation statements)

References 39 publications

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“…From Equations ( 1) and ( 2), the hydrodynamic torque T m can be expressed as a nonaffine function of the variable pitch angle, which can be handled by using the median theorem in [50]. For any given (v tide , ω r ), there exists Θ ∈ (0, 1) such that…”

Section: Error Dynamics Analysismentioning

confidence: 99%

Fault-Tolerant Control of Tidal Stream Turbines: Non-Singular Fast Terminal Sliding Mode and Adaptive Robust Method

Wang,

Wang

2024

JMSE

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This paper addresses the issues of maximum power point tracking (MPPT) and fault-tolerant control in tidal steam turbines under complex marine environments. In order to solve the conflicting problems in the existing sliding mode control between dynamic performance and chatter reduction as well as the use of fault estimation link in the fault-tolerant control, which increases the system complexity, an adaptive non-singular fast terminal sliding mode and adaptive robust fault tolerance method (ANFTSMC-ARC) is proposed. First, a speed controller equipped with adaptive non-singular fast terminal sliding mode control (ANFTSMC) is designed to improve the power capture efficiency under swell disturbances. This design achieves fast convergence and circumvents the singularity problem. Then, a new reach law is proposed based on the adaptive hybrid exponential reaching law (AHERL), which ensures high tracking performance while reducing chattering. In addition, considering that the hydraulic pitch system is prone to failure, a fault-tolerant controller with automatically adjustable gain is designed under the adaptive robust scheme. With the help of Lyapunov theory, the closed-loop system is proved to be uniform and ultimately bounded. Finally, comparative simulation results verify the efficiency of the proposed control strategy.

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Section: Error Dynamics Analysismentioning

confidence: 99%

Fault-Tolerant Control of Tidal Stream Turbines: Non-Singular Fast Terminal Sliding Mode and Adaptive Robust Method

Wang,

Wang

2024

JMSE

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“…The mechanical power ( P w ) developed by the rotor of the wind turbines is represented in Ayenew et al (2023), Habibi et al (2022), Kanasottu et al (2019), and Majout et al (2022) as…”

Section: Mathematical Modelingmentioning

confidence: 99%

“…To avoid such an effect, two independent controllers of the wind turbine in partial load and full load modes were used according to the status of wind speed (Sahoo et al, 2020). This causes the control system more complex and bulky size (Apata and Oyedokun, 2020; Habibi et al, 2022; Soufyane et al, 2020). To overcome the aforementioned constraints, this study proposed an optimal fractional order proportional-integral-derivative (FOPID) controller for the pitch angle of the wind turbine blade.…”

Section: Introductionmentioning

confidence: 99%

Optimal control of the electro-hydraulic actuator for variable pitch variable speed wind turbine: Performance enrichment

Alemu,

Ayenew

2023

Wind Engineering

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The wind energy generation system is complex because of varying wind speeds and its control systems to improve its ability of energy harvesting. This paper considers a hydraulic actuator-based variable-pitch angle control of a 1.5 MW wind turbine. The existing control systems of the pitch mechanism of the wind turbines are complex and bulky size. This study applied Genetic Algorithm based Proportional Integral Derivative Controller (GA-PID), Fractional Order Proportional Integral Derivative (FOPID), and Genetic Algorithm based Fractional Order Proportional Integral Derivative (GA-FOPID) controllers to adjust the pitch angle of the wind turbine blade. The performance of GA-FOPID, FOPID, and GA-PID controlled pitch angle is compared by considering different wind speeds. The GA-FOPID controller reduced the variation in mechanical power to 0.08% concerning the rated value and the variation in mechanical torque to 1.51% in comparison to the rated value. Therefore, the GA-FOPID controller shows better performance than the conventional PID.

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“…Then wind turbine outputs such as rotor rotational speed and generated torque are usually used to predict the wind speed [99]. Main MPPT control strategies are tip speed ratio control, optimal torque control, power signal feedback control and perturbation and observation control [100][101][102][103][104][105][106][107][108].…”

Section: Wind Turbine Power Optimizing Technologymentioning

confidence: 99%

“…Turning the blades around their own axes changes the relative wind flow and, consequently, the aerodynamic loads exerted on the rotor. The power coefficient C p (λ, β) varies according to the pitch angle and, consequently, the power capture varies as well [108]. Beyond the rated wind speed, pitch angle control is used for power control to match with machine-rated capacity.…”

Section: Wind Turbine Power Optimizing Technologymentioning

confidence: 99%

Wind Energy Harvesting and Conversion Systems: A Technical Review

et al. 2022

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Wind energy harvesting for electricity generation has a significant role in overcoming the challenges involved with climate change and the energy resource implications involved with population growth and political unrest. Indeed, there has been significant growth in wind energy capacity worldwide with turbine capacity growing significantly over the last two decades. This confidence is echoed in the wind power market and global wind energy statistics. However, wind energy capture and utilisation has always been challenging. Appreciation of the wind as a resource makes for difficulties in modelling and the sensitivities of how the wind resource maps to energy production results in an energy harvesting opportunity. An opportunity that is dependent on different system parameters, namely the wind as a resource, technology and system synergies in realizing an optimal wind energy harvest. This paper presents a thorough review of the state of the art concerning the realization of optimal wind energy harvesting and utilisation. The wind energy resource and, more specifically, the influence of wind speed and wind energy resource forecasting are considered in conjunction with technological considerations and how system optimization can realise more effective operational efficiencies. Moreover, non-technological issues affecting wind energy harvesting are also considered. These include standards and regulatory implications with higher levels of grid integration and higher system non-synchronous penetration (SNSP). The review concludes that hybrid forecasting techniques enable a more accurate and predictable resource appreciation and that a hybrid power system that employs a multi-objective optimization approach is most suitable in achieving an optimal configuration for maximum energy harvesting.

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Wind Turbine Pitch Actuator Regulation for Efficient and Reliable Energy Conversion: A Fault-Tolerant Constrained Control Solution

Cited by 6 publications

References 39 publications

Fault-Tolerant Control of Tidal Stream Turbines: Non-Singular Fast Terminal Sliding Mode and Adaptive Robust Method

Fault-Tolerant Control of Tidal Stream Turbines: Non-Singular Fast Terminal Sliding Mode and Adaptive Robust Method

Optimal control of the electro-hydraulic actuator for variable pitch variable speed wind turbine: Performance enrichment

Wind Energy Harvesting and Conversion Systems: A Technical Review

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