MODELING OF TURBOJET FUEL CONTROL UNIT USING NARX-NEURAL NETWORK

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.

SALEHI A.; MONTAZERI-GH M.; NASIRI M.

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

Journal Paper

Paper Information

Journal: Modares Mechanical Engineering Year:2013 | Volume:13 | Issue:7 Page(s): 1-9

Download Full-Text

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

Persian Verion

View:

1,700

Download:

Cites:

Information Journal Paper

Title

MODELING OF TURBOJET FUEL CONTROL UNIT USING NARX-NEURAL NETWORK

Author(s)

SALEHI A. | MONTAZERI-GH M. | NASIRI M. | Issue Writer Certificate

Keywords

FUEL CONTROL UNITQ2

SYSTEM IDENTIFICATIONQ2

NARXQ2

Abstract

FUEL CONTROL UNIT (FCU) is one of the most essential parts in a gas turbine engine; therefore it is necessary to be studied as an important part of the fuel control system. This paper report the use of Nonlinear Auto Regressive with eXogenous input (NARX) neural network model for modeling of the jet engine FCU. Therefore, To measure and recording data from the FCU inputs and output, the test bench including hydraulic system, data acquisition system and induction motor control system are designed and constructed. This setup is a mechatronic collection which includes mechanical design, discharge and pressure sensors, tachometer, control unit and piping systems. The process of modeling is carried out in MATLAB software. The identified model is evaluated with validation data and its response is compared with the real system response. Results demonstrate the effectiveness of the NARX neural network model and show that the real system is estimated by the NARX neural network model accurately.

Cites

No record.

References

مدل سازی واحد کنترل سوخت موتور جت با استفاده از ساختار ARMAX

Cite

APA: Copy

SALEHI, A., MONTAZERI-GH, M., & NASIRI, M.. (2013). MODELING OF TURBOJET FUEL CONTROL UNIT USING NARX-NEURAL NETWORK. MODARES MECHANICAL ENGINEERING, 13(7), 1-9. SID. https://sid.ir/paper/179938/en

Vancouver: Copy

SALEHI A., MONTAZERI-GH M., NASIRI M.. MODELING OF TURBOJET FUEL CONTROL UNIT USING NARX-NEURAL NETWORK. MODARES MECHANICAL ENGINEERING[Internet]. 2013;13(7):1-9. Available from: https://sid.ir/paper/179938/en

IEEE: Copy

A. SALEHI, M. MONTAZERI-GH, and M. NASIRI, “MODELING OF TURBOJET FUEL CONTROL UNIT USING NARX-NEURAL NETWORK,” MODARES MECHANICAL ENGINEERING, vol. 13, no. 7, pp. 1–9, 2013, [Online]. Available: https://sid.ir/paper/179938/en

Related Journal Papers