Indirect field oriented adaptive control of induction motor based on neuro-fuzzy controller
Joint Authors
Mechernene, A.
Chekroun, S.
Zerikat, M.
Source
Issue
Vol. 7, Issue 3 (30 Sep. 2011), pp.308-319, 12 p.
Publisher
Publication Date
2011-09-30
Country of Publication
Algeria
No. of Pages
12
Main Subjects
Topics
Abstract EN
The present paper proposes an adaptive structure, completely based on the artificial intelligence concepts, for speed control of an induction motor, without any identification of the motor dynamic.
Approach with reference model has been chosen, and a neuron-fuzzy controller assures excellent qualities in terms of tracking, and disturbance rejection with high robustness.
A neural adaptive mechanism is synthesized to correct the law generated by the controller to provide a compensation signal.
This last, added to the controller output, generate the appropriate adapted law.
The effectiveness and feasibility of the structure developed is verified by several simulation tests with different conditions operating.
American Psychological Association (APA)
Mechernene, A.& Zerikat, M.& Chekroun, S.. 2011. Indirect field oriented adaptive control of induction motor based on neuro-fuzzy controller. Journal of Electrical Systems،Vol. 7, no. 3, pp.308-319.
https://search.emarefa.net/detail/BIM-290961
Modern Language Association (MLA)
Mechernene, A.…[et al.]. Indirect field oriented adaptive control of induction motor based on neuro-fuzzy controller. Journal of Electrical Systems Vol. 7, no. 3 (Sep. 2011), pp.308-319.
https://search.emarefa.net/detail/BIM-290961
American Medical Association (AMA)
Mechernene, A.& Zerikat, M.& Chekroun, S.. Indirect field oriented adaptive control of induction motor based on neuro-fuzzy controller. Journal of Electrical Systems. 2011. Vol. 7, no. 3, pp.308-319.
https://search.emarefa.net/detail/BIM-290961
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 319
Record ID
BIM-290961