Identification, fuzzy controller for electrical discharge machine servo system
Author
Source
Issue
Vol. 9, Issue 4 (31 Oct. 2018), pp.88-98, 11 p.
Publisher
University of Kufa Faculty of Engineering
Publication Date
2018-10-31
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Abstract EN
This paper utilizes a system identification to model EDM using Arduino and fuzzy controller.
System identification is a useful tool for identifying the model depending on the input and output data of the controller.
However, derivation of modeling process from first principles is often difficult due to its complexity.
The proposed method is used for identifying the mathematical model of EDM from the real time experimental data from gather data from the systemy feeding the DC motor sine sweep or white noise inputs.
The model identification of EDM servo system was conducted by using MATLAB/Simulink program and after that the obtained transfer function for the system.
The proposed controller has been applied by using FLC .The results showed that the controller can work well with a quick response, no overshoot output and high control precision.
American Psychological Association (APA)
Abd al-Amir, Shuruq. 2018. Identification, fuzzy controller for electrical discharge machine servo system. Kufa Journal of Engineering،Vol. 9, no. 4, pp.88-98.
https://search.emarefa.net/detail/BIM-901777
Modern Language Association (MLA)
Abd al-Amir, Shuruq. Identification, fuzzy controller for electrical discharge machine servo system. Kufa Journal of Engineering Vol. 9, no. 4 (Oct. 2018), pp.88-98.
https://search.emarefa.net/detail/BIM-901777
American Medical Association (AMA)
Abd al-Amir, Shuruq. Identification, fuzzy controller for electrical discharge machine servo system. Kufa Journal of Engineering. 2018. Vol. 9, no. 4, pp.88-98.
https://search.emarefa.net/detail/BIM-901777
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 97-98
Record ID
BIM-901777