A novel fractional‐order nonlinear
            <scp>PID</scp>
            ‐based pitch angle control strategy for a
            <scp>PMSG</scp>
            ‐based wind energy system

Pathak, Diwaker; Gaur, Prerna

doi:10.1002/2050-7038.12671

Cited by 5 publications

(1 citation statement)

References 43 publications

(107 reference statements)

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“…The mathematical model of an actuator of the pitch angle of the wind turbine blade is represented (Iqbal et al, 2020; Jia et al, 2021; Jiao et al, 2019; Pathak and Gaur, 2020) by a simplified low-order model. Such representations may be acceptable for the electrical pitch systems.…”

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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