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Home / Archives / Volume-6 / Issue-3 / Article-5

Volume - 6 | Issue - 3 | september 2024

Speed Regulating of Wind Turbine Unit using Iterative Learning Control Open Access
Dinesh R.  , Dilip Kumar R., Jeevanantham M., Sathishbabu S., Sathishkumar AKT.  67
Pages: 248-257
Cite this article
R., Dinesh, Dilip Kumar R., Jeevanantham M., Sathishbabu S., and Sathishkumar AKT.. "Speed Regulating of Wind Turbine Unit using Iterative Learning Control." Journal of Electrical Engineering and Automation 6, no. 3 (2024): 248-257
Published
29 July, 2024
Abstract

Conventional control methods, such as Proportional Integral Derivative (PID) control, have been extensively utilized for speed regulation in renewable energy wind turbine units. However, the limitations and disadvantages of PID, including difficulties in handling nonlinearities and uncertainties inherent in wind turbine dynamics, necessitate the exploration of alternative approaches. This research paper proposes the adoption of Iterative Learning Control (ILC) as an intelligent controller for addressing the shortcomings of PID. By exploiting the repetitive nature of wind turbine operation, ILC offers the potential to enhance speed regulation performance by iteratively refining control actions based on past experiences for advancing renewable energy. Through simulation studies, the effectiveness of ILC in improving the transient response and tracking accuracy of wind turbine units is demonstrated.

Keywords

Wind turbine PID ILC Renewable energy

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