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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mohamed, H.A.F. Yang, S.S. Moghavvemi, M. |
| Copyright Year | 2008 |
| Description | Author affiliation: Centre for Res. in Appl. Electron. (CRAE), Univ. of Malaya, Kuala Lumpur (Mohamed, H.A.F.; Yang, S.S.; Moghavvemi, M.) |
| Abstract | 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. |
| Starting Page | 477 |
| Ending Page | 482 |
| File Size | 3390538 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424416752 |
| DOI | 10.1109/RAMECH.2008.4681457 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Velocity control Induction motors Inverse problems Neural networks Nonlinear control systems Adaptive control Power system modeling Uncertainty Artificial neural networks Control system synthesis induction motor speed control ANN system identification inverse model |
| Content Type | Text |
| Resource Type | Article |
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