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

University of Babylon

Publication Date

2017-08-31

Country of Publication

Iraq

No. of Pages

11

Main Subjects

Electronic engineering

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