PI and fuzzy logic controller based tip speed ratio control for smoothening of output power fluctuation in a wind energy conversion system

Gaur, Prerna; Pathak, Diwaker; Kumar, Bhavnesh; Chauhan, Yogesh K.

doi:10.1109/iicpe.2016.8079480

Cited by 9 publications

(1 citation statement)

References 15 publications

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“…This paper is devoted to the analysis of a classical approach for pitch angle control that utilizes several regulating variables. Even though PI controllers are commonly applied in pitch control schemes, system dynamics knowledge is necessary [3]. The system does not have to be familiar, and it is possible that some of its nonlinearity are significant.…”

Section: Figure 1 Variable Wind Turbine Speed Structurementioning

confidence: 99%

Enhancing the Behavior of Small Scale Wind Turbine Based on Fuzzy Logic System

Salih,

Hamoodi,

Hamoodi

2024

JESA

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This research explores the use of contemporary controllers, especially fuzzy logic, to improve how the wind turbine systems react on external disturbances such as blades distortion. The study concentrates on these controllers' workability in relation to the speed control for turbines integrated into the network-based management and production system, using a wind turbine with permanent magnet synchronous generator (PMSG). Pitch of the blade control strategies are being compared using a comparative analysis between traditional ones and the one with multiple variables performed in terms of fuzzy logic controller. The focus here is on the assessment of how such controllers affect the transient speed signals, with a brief mention regarding the average value derived from simulations. The results show that the fuzzy logic-PI control significantly outperforms the standard controllers in terms of wind turbine speeding performance.

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Section: Figure 1 Variable Wind Turbine Speed Structurementioning

confidence: 99%