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A NEURAL APPROACH FOR ELECTROMECHANICAL SYSTEMS MODELING
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| Author(s) |
L. Fortuna; A. Gallo; S. Graziani; G. Nunnari; P. Arena |
| Abstract |
Asynchronous machines are a topic of increasing interest in the research area of actuators. Due to the complexity of such systems, it is hard to perform efficiently the control of the asyncrhonous machine, especially when accurate descriptions are required for control purposes and models become too complex. The authors have used a neural approach to identify an induction machine alleviating the need to use complex models that can not be utilized for control aims. The problem of the identification of a non linear observer has been considered. The proposed approach has been validated by considering the results of the simulation obtained considering a classical fifth-order model. |
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| Filename: | Unnamed file |
| Filesize: | 3.047 MB |
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| Type |
Members Only |
| Date |
Last modified 2019-07-22 by System |
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