Performance and robustness of optimal fractional fuzzy PID controllers for pitch control of a wind turbine using chaotic optimization algorithms

The most studied controller for pitch control of wind turbines is proportional-integral-derivative (PID) controller. However, due to uncertainties in wind turbine modeling and wind speed profiles, the need for more effective controllers is inevitable. On the other hand, the parameters of PID control...

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Vydáno v:ISA transactions Ročník 79; s. 27 - 44
Hlavní autoři: Asgharnia, Amirhossein, Shahnazi, Reza, Jamali, Ali
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Ltd 01.08.2018
Témata:
5-MW wind turbine
Chaotic DE
Chaotic PSO
FAST simulator
Fractional-order fuzzy PID
Gaussian chaotic map
Pitch control
FAST simulator
Chaotic PSO
Chaotic DE
Gaussian chaotic map
5-MW wind turbine
Fractional-order fuzzy PID
Pitch control
ISSN:0019-0578, 1879-2022, 1879-2022
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Shrnutí:The most studied controller for pitch control of wind turbines is proportional-integral-derivative (PID) controller. However, due to uncertainties in wind turbine modeling and wind speed profiles, the need for more effective controllers is inevitable. On the other hand, the parameters of PID controller usually are unknown and should be selected by the designer which is neither a straightforward task nor optimal. To cope with these drawbacks, in this paper, two advanced controllers called fuzzy PID (FPID) and fractional-order fuzzy PID (FOFPID) are proposed to improve the pitch control performance. Meanwhile, to find the parameters of the controllers the chaotic evolutionary optimization methods are used. Using evolutionary optimization methods not only gives us the unknown parameters of the controllers but also guarantees the optimality based on the chosen objective function. To improve the performance of the evolutionary algorithms chaotic maps are used. All the optimization procedures are applied to the 2-mass model of 5-MW wind turbine model. The proposed optimal controllers are validated using simulator FAST developed by NREL. Simulation results demonstrate that the FOFPID controller can reach to better performance and robustness while guaranteeing fewer fatigue damages in different wind speeds in comparison to FPID, fractional-order PID (FOPID) and gain-scheduling PID (GSPID) controllers. •This paper compares fuzzy PID and fractional-order fuzzy PID on wind turbine pitch control.•The controllers have been optimized by chaotic optimization algorithms.•It is shown that fractional-order controller has superior performance.•The results are validated with FAST wind turbine simulator.
Bibliografie:ObjectType-Article-1
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ISSN:0019-0578
1879-2022
1879-2022
DOI:10.1016/j.isatra.2018.04.016