Intelligent Control Strategy of a Three-Phase PWM Rectifier Based on Artificial Neural Networks Approach and Fuzzy Logic Controller
| Autor: | Mohammed Akherraz, Mohamed Barara, Mustapha Jamma, Abderrahim Bennassar |
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| Rok vydání: | 2017 |
| Předmět: |
Artificial neural network
Neuro-fuzzy Computer science 020209 energy 020208 electrical & electronic engineering 02 engineering and technology AC power PWM rectifier Fuzzy electronics Control theory Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Intelligent control Power control |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319529400 HIS |
| Popis: | This paper proposes a new direct power control (DPC) of three-phase PWM rectifier based on intelligent techniques, in order to improve the dynamic performances of the conventional direct power control, where the conventional proportional integral (PI) controller is replaced by fuzzy logic controller (FLC) to adjust the dc bus voltage and the classical switching table is also replaced by a selector based on artificial neural networks (ANN) to generate the switching sequences of the PWM rectifier. This new control approach allows to maintain the dc bus voltage, the instantaneous active and reactive power to their reference values and also to minimize their ripples. The dynamic performances of this control technique were verified using Matlab/Simulink software under different conditions of simulation. The obtained results present better performance in terms of precision, robustness and reduction of harmonic disturbances. |
| Databáze: | OpenAIRE |
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