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Control of Pitch Angle of Wind Turbine by Fuzzy Pid Controller



This article presents a study on set of PID parameters of blade pitch angle controller of wind turbine with fuzzy logic algorithm. Three individual control methods were used to control the wind turbine pitch angle. These control methods are conventional PI, fuzzy and fuzzy PID. With the use of these control methods, the system was protected from possible harms in high wind speed region and maintained changing of nominal output power. It was aimed to the control the wind turbine blade pitch angle in different wind speeds and to hold the output power stable in the set point by simulation of controllers with Matlab/Simulink Software. By evaluating the steady state time of output power received from the simulation results and steady state errors, the performances of the control systems have been measured and compared with one another. As a result of these simulation comparisons, it is clear that fuzzy PID controller performed better than PI and Fuzzy Controller.



Total Pages: 9
Pages: 463-471


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Volume: 22
Issue: 3
Year: 2015

Cite this document


Burton, Tony et al. "Wind Energy Handbook." (2001): n. pag. Crossref. Web.

Chen, Chiung Hsing, Chih-Ming Hong, and Ting-Chia Ou. "Hybrid Fuzzy Control of Wind Turbine Generator by Pitch Control Using RNN." International Journal of Ambient Energy 33.2 (2012): 56-64. Crossref. Web.

Choi, Oh-Kyu et al. "BIBO Stability Analysis of TSK Fuzzy PI/PD Control Systems." Intelligent Automation & Soft Computing 21.4 (2015): 645-658. Crossref. Web.

Duong, Minh Quan et al. "Pitch Angle Control Using Hybrid Controller for All Operating Regions of SCIG Wind Turbine System." Renewable Energy 70 (2014): 197-203. Crossref. Web.

Hemami A. Wind turbine technology

Idowu, Peter. "Fuzzy Speed Regulation of A Wind-Turbine DC Generator." Intelligent Automation & Soft Computing 2.1 (1996): 27-36. Crossref. Web.

Jelavic, M., V. Petrovic, and N. Peric. "Individual Pitch Control of Wind Turbine Based on Loads Estimation." 2008 34th Annual Conference of IEEE Industrial Electronics (2008): n. pag. Crossref. Web.

Musyafa A. International Journal of Engineering & Technology

Ponce, Pedro, Arturo Molina, and Brian MacCleery. "Integrated Intelligent Control and Fault System for Wind Generators." Intelligent Automation & Soft Computing 19.3 (2013): 373-389. Crossref. Web.

Poznyak, A. S., and E.N. Sanchez. "Nonlinear System Approximation by Neural Networks: Error Stability Analysis." Intelligent Automation & Soft Computing 1.3 (1995): 247-257. Crossref. Web.

Qi, Yishuang, and Qingjin Meng. "The Application of Fuzzy PID Control in Pitch Wind Turbine." Energy Procedia 16 (2012): 1635-1641. Crossref. Web.

Sato, Mika, and Yoshiharu Sato. "On A General Fuzzy Additive Clustering Model." Intelligent Automation & Soft Computing 1.4 (1995): 439-448. Crossref. Web.

Senjyu, Tomonobu et al. "Output Power Control of Wind Turbine Generator by Pitch Angle Control Using Minimum Variance Control." Electrical Engineering in Japan 154.2 (2006): 10-18. Crossref. Web.

Tong W Wind power generation and wind turbine design

Viljamaa, Pauli, and Heikki N. Koivo. "Tuning of a Multivariable Fuzzy Logic Controller." Intelligent Automation & Soft Computing 1.1 (1995): 15-28. Crossref. Web.

Yilmaz, Ahmet Serdar, and Zafer Özer. "Pitch Angle Control in Wind Turbines Above the Rated Wind Speed by Multi-Layer Perceptron and Radial Basis Function Neural Networks." Expert Systems with Applications 36.6 (2009): 9767-9775. Crossref. Web.


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present


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