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A Neural Network Controller for Power Converters based on a Computational Optimal Control Surface
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| Author(s) |
J.M. Carrasco; J.M. Quero; F.P. Ridao; L.G. Franquelo |
| Abstract |
A neural controller implementing an optimum algorithm as a control law is proposed as an alternative to control power converters. The algorithm minimizes a cost function in the system by computational simulation, generating a control surface. An agalog neural network (ANN) learns to approximate this control table by means of a learning algorithm. A simple electronic implementation of this controller is proposed and applied to PWM DC/DC power converter circuit. Experimental results show a good improvement in response to the circuit and confirms the validity of the neural network approach. |
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| Filename: | Unnamed file |
| Filesize: | 397 KB |
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| Type |
Members Only |
| Date |
Last modified 2018-05-16 by System |
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