Design of magnetic levitation system based on inverse control techniqueusing adaptive neuro-Fuzzy inference system
Joint Authors
Abd Allah, Ahmad Shakir
Rahimah, Mithaq Nimah
Source
Journal of University of Babylon for Engineering Sciences
Issue
Vol. 25, Issue 4 (31 Aug. 2017), pp.1210-1220, 11 p.
Publisher
Publication Date
2017-08-31
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Abstract EN
The design of ANFIS network based inverse control technique is proposed in this paperfor this system.
Simulation is implemented in MATLAB after the ANFIS is trained and it is shown that results are applicable in process industry and acceptable for reference control applications.
The effectiveness of the proposed ANFIS in inverse controller it has been tested by entering random selected points which represent the values of input voltage from the system under control as a reference input to inverse modelling, after that entering the results of inverse modelling to the modelling of magnet levitation system to form the desired output.
The result is acceptable with small errors about 0.0011.
American Psychological Association (APA)
Rahimah, Mithaq Nimah& Abd Allah, Ahmad Shakir. 2017. Design of magnetic levitation system based on inverse control techniqueusing adaptive neuro-Fuzzy inference system. Journal of University of Babylon for Engineering Sciences،Vol. 25, no. 4, pp.1210-1220.
https://search.emarefa.net/detail/BIM-923485
Modern Language Association (MLA)
Rahimah, Mithaq Nimah& Abd Allah, Ahmad Shakir. Design of magnetic levitation system based on inverse control techniqueusing adaptive neuro-Fuzzy inference system. Journal of University of Babylon for Engineering Sciences Vol. 25, no. 4 (2017), pp.1210-1220.
https://search.emarefa.net/detail/BIM-923485
American Medical Association (AMA)
Rahimah, Mithaq Nimah& Abd Allah, Ahmad Shakir. Design of magnetic levitation system based on inverse control techniqueusing adaptive neuro-Fuzzy inference system. Journal of University of Babylon for Engineering Sciences. 2017. Vol. 25, no. 4, pp.1210-1220.
https://search.emarefa.net/detail/BIM-923485
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1220
Record ID
BIM-923485