Design and real-time implementation of an internal model speed control for an induction motor

This paper carries out the design and real time implementation of an Internal Model Controller (IMC) to control the speed of an induction motor and precisely a squirrel cage type. The scheme in this paper is constructed using a model and a controller both being Artificial Neural Network (ANN) based....

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Main Authors: Mohamed, H.A.F., Yang, S.S., Moghavvemi, M.
Format: Conference or Workshop Item
Published: 2008
Subjects:
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author Mohamed, H.A.F.
Yang, S.S.
Moghavvemi, M.
author_facet Mohamed, H.A.F.
Yang, S.S.
Moghavvemi, M.
author_sort Mohamed, H.A.F.
collection UM
description This paper carries out the design and real time implementation of an Internal Model Controller (IMC) to control the speed of an induction motor and precisely a squirrel cage type. The scheme in this paper is constructed using a model and a controller both being Artificial Neural Network (ANN) based. This ANN-based control scheme has been chosen because of its ability to handle the strong nonlinearities of the induction motor. The performance of the controller is tested by applying different types of input signals as well as load torque disturbances. Whether loaded or unloaded, the proposed internal model controller has proved to achieve high performance and accuracy.
first_indexed 2024-03-06T05:24:34Z
format Conference or Workshop Item
id um.eprints-9720
institution Universiti Malaya
last_indexed 2024-03-06T05:24:34Z
publishDate 2008
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spelling um.eprints-97202017-11-23T02:13:51Z http://eprints.um.edu.my/9720/ Design and real-time implementation of an internal model speed control for an induction motor Mohamed, H.A.F. Yang, S.S. Moghavvemi, M. TA Engineering (General). Civil engineering (General) This paper carries out the design and real time implementation of an Internal Model Controller (IMC) to control the speed of an induction motor and precisely a squirrel cage type. The scheme in this paper is constructed using a model and a controller both being Artificial Neural Network (ANN) based. This ANN-based control scheme has been chosen because of its ability to handle the strong nonlinearities of the induction motor. The performance of the controller is tested by applying different types of input signals as well as load torque disturbances. Whether loaded or unloaded, the proposed internal model controller has proved to achieve high performance and accuracy. 2008-09 Conference or Workshop Item PeerReviewed Mohamed, H.A.F. and Yang, S.S. and Moghavvemi, M. (2008) Design and real-time implementation of an internal model speed control for an induction motor. In: 2008 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2008, 21 - 24 September 2008, Chengdu,China.
spellingShingle TA Engineering (General). Civil engineering (General)
Mohamed, H.A.F.
Yang, S.S.
Moghavvemi, M.
Design and real-time implementation of an internal model speed control for an induction motor
title Design and real-time implementation of an internal model speed control for an induction motor
title_full Design and real-time implementation of an internal model speed control for an induction motor
title_fullStr Design and real-time implementation of an internal model speed control for an induction motor
title_full_unstemmed Design and real-time implementation of an internal model speed control for an induction motor
title_short Design and real-time implementation of an internal model speed control for an induction motor
title_sort design and real time implementation of an internal model speed control for an induction motor
topic TA Engineering (General). Civil engineering (General)
work_keys_str_mv AT mohamedhaf designandrealtimeimplementationofaninternalmodelspeedcontrolforaninductionmotor
AT yangss designandrealtimeimplementationofaninternalmodelspeedcontrolforaninductionmotor
AT moghavvemim designandrealtimeimplementationofaninternalmodelspeedcontrolforaninductionmotor