Gaur, Prerna ; Mittal, A. P. ; Singh, Bhim (2011) Recurrent and feedforward neural network control of permanent magnet synchronous motor IETE Journal of Research, 57 (6). pp. 541-549. ISSN 0377-2063
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Official URL: http://www.tandfonline.com/doi/abs/10.4103/0377-20...
Related URL: http://dx.doi.org/10.4103/0377-2063.92270
Abstract
In this paper, the fuzzy logic, neuro-fuzzy logic, and artificial neural network speed controllers in feedforward and recurrent architectures are designed and modeled to control the permanent magnet synchronous motor (PMSM) drive. The fundamentals of artificial intelligence-based control algorithms are illustrated. The detailed performance of the PMSM drive is studied by applying various mechanical disturbances such as starting performance, speed reversal, flux weakening, and load perturbations.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Taylor and Francis Group. |
| Keywords: | Adaptive Neuro-Fuzzy Inference System; Artificial Intelligence; Feedforward; Fuzzy Logic; Permanent Magnet Synchronous Motor; Recurrent Neural Network |
| ID Code: | 106733 |
| Deposited On: | 07 Aug 2017 13:08 |
| Last Modified: | 07 Aug 2017 13:08 |
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