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Dynamic performance of induction motor drive using hybrid controller
Joint Authors
Source
Journal of Automation and Systems Engineering
Issue
Vol. 8, Issue 1 (31 Mar. 2014), pp.331-346, 16 p.
Publisher
Publication Date
2014-03-31
Country of Publication
Algeria
No. of Pages
16
Main Subjects
Topics
Abstract EN
In most of the industries, induction motors play a vital role and are manufactured in large numbers.
For general purpose applications, induction motors have mainly been deployed in constant-speed motor drives, for a relatively long period.
By using speed control of induction motor, maximum torque and efficiency is obtained.
71ie inability of conventional controller to work under wide range of operation, Artificial Intelligent controllers are used in the industry.
In this paper dynamic simulation of induction motor drive is presented using hybrid fuzzy neural controller.
The comparison of dynamic performance of induction motor is also investigated by using Conventional, Fuzzy, Neural and Fuzzy Neural controllers.
When there is a sudden change in load, the fuzzy neuro controller reaches its steady state value faster and there are no overshoots as compared to the conventional and Fuzzy controller, the proposed fuzzy neuro controller has shown superior performance and faster transient response over the PI and fuzzy controller.
American Psychological Association (APA)
Menghal, P. M.& Laxmi, Jaya A.. 2014. Dynamic performance of induction motor drive using hybrid controller. Journal of Automation and Systems Engineering،Vol. 8, no. 1, pp.331-346.
https://search.emarefa.net/detail/BIM-399331
Modern Language Association (MLA)
Menghal, P. M.& Laxmi, Jaya A.. Dynamic performance of induction motor drive using hybrid controller. Journal of Automation and Systems Engineering Vol. 8, no. 1 (Mar. 2014), pp.331-346.
https://search.emarefa.net/detail/BIM-399331
American Medical Association (AMA)
Menghal, P. M.& Laxmi, Jaya A.. Dynamic performance of induction motor drive using hybrid controller. Journal of Automation and Systems Engineering. 2014. Vol. 8, no. 1, pp.331-346.
https://search.emarefa.net/detail/BIM-399331
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 345-346
Record ID
BIM-399331