DESIGN OF AN OPTIMIZED ADAPTIVE NEURAL FUZZY CONTROLLER FOR CONSTANT SPEED WIND TURBINE

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

IZADFAR HAMID REZA; NIKZAD REZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2017 | Volume:7 | Issue:4 Page(s): 1-11

Download Full-Text

Persian Verion

View:

936

Download:

Cites:

Information Journal Paper

Title

DESIGN OF AN OPTIMIZED ADAPTIVE NEURAL FUZZY CONTROLLER FOR CONSTANT SPEED WIND TURBINE

Author(s)

IZADFAR HAMID REZA | NIKZAD REZA | Issue Writer Certificate

Keywords

ADAPTIVE NEURAL FUZZYQ1

WIND TURBINEQ2

PITCH ANGLEQ2

SOFT STARTERQ2

Abstract

In this paper, an ADAPTIVE NEURAL FUZZY controller witch optimized with genetic algorithm is introduced for performance improvement of a fixed speed WIND TURBINE. This controller, at first, operates as a SOFT STARTER and limits the magnitude of inrush current. This object done by control of trigger angle of switches in the converter. The switching angle will be controlled by torque and speed. Then and in normal operation, with optimized control of turbine PITCH ANGLE, the fluctuations of active power and mechanical torque will be mollification. The shaft speed and error of active power are the decision variables for this purpose. In section of fuzzy logic the membership function of outputs define as the linear function of input's membership functions. In addition to proposed method, the controller set with fuzzy logic and ANFIS algorithms. The output parameters of WIND TURBINE under all three methods, will be analyzed and compared. It is shown the proposed method has the better response.

Cites

No record.

References

No record.

Cite

APA: Copy

IZADFAR, HAMID REZA, & NIKZAD, REZA. (2017). DESIGN OF AN OPTIMIZED ADAPTIVE NEURAL FUZZY CONTROLLER FOR CONSTANT SPEED WIND TURBINE. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 7(4 ), 1-11. SID. https://sid.ir/paper/203095/en

Vancouver: Copy

IZADFAR HAMID REZA, NIKZAD REZA. DESIGN OF AN OPTIMIZED ADAPTIVE NEURAL FUZZY CONTROLLER FOR CONSTANT SPEED WIND TURBINE. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2017;7(4 ):1-11. Available from: https://sid.ir/paper/203095/en

IEEE: Copy

HAMID REZA IZADFAR, and REZA NIKZAD, “DESIGN OF AN OPTIMIZED ADAPTIVE NEURAL FUZZY CONTROLLER FOR CONSTANT SPEED WIND TURBINE,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 7, no. 4 , pp. 1–11, 2017, [Online]. Available: https://sid.ir/paper/203095/en

Related Journal Papers