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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Razi, A. Menhaj, M.B. Mohebbi, A. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Electrical Engineering Amir Kabir University of Technology Tehran, Iran (Razi, A.; Menhaj, M.B.; Mohebbi, A.) |
| Abstract | An Intelligent Control (IC) method based on MLP neural networks and Through Model Lemma (T.M.L.) is implemented to control the position of a Low Earth Orbit (LEO) satellites tracking earth station antenna. This approach relies on two different multilayer neural networks with delayed inputs, for the purpose of identification and control. Nonlinear term in motors caused by gear-box gaps or other parts lameness is not necessary to be measured or identified for considering in controller designing using this method. However due to test of the proposed method performance, this nonlinearity term modeled by a backlash block. Simulation results show the effectiveness of T.M.L. method for robust control in the presence of backlash nonlinearity. |
| Starting Page | 265 |
| Ending Page | 270 |
| File Size | 913334 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424428861 |
| DOI | 10.1109/CITISIA.2009.5224199 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-25 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Antenna measurements Intelligent networks Satellite antennas Neural networks Position control Low earth orbit satellites Satellite ground stations Integrated circuit modeling Intelligent control Multi-layer neural network |
| Content Type | Text |
| Resource Type | Article |
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