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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Narendra, K.G. Khorasani, K. Sood, V.K. Patel, R.V. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada (Narendra, K.G.) |
| Abstract | This paper describes an intelligent current controller for the fast and flexible control of an HVDC transmission link using artificial neural network (ANN) and fuzzy logic (FL) paradigms. A simple yet effective ANN architecture is presented with online adaptation of the activation function and learning parameters. Two methods of adapting the learning parameters are presented. In the first method, a heuristic approach to evaluate the learning rate as a polynomial of an energy function is considered. In the second method, a FL based online adaptation of the learning parameters is discussed. Performance of ANN, ANN-FL based and PI controllers are compared. A feasibility analysis is carried out to implement the proposed neural controller algorithm in real-time. |
| Starting Page | 67 |
| Ending Page | 75 |
| File Size | 809341 |
| Page Count | 9 |
| File Format | |
| ISBN | 0780337131 |
| DOI | 10.1109/PICA.1997.599379 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-05-11 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | HVDC transmission Artificial neural networks Control systems Fuzzy logic Rectifiers Inverters Mathematical model Neurons Real time systems Voltage |
| Content Type | Text |
| Resource Type | Article |
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