Time filter

Source Type

Oran, Algeria

Yousfi A.,Laboratory SCAMRE | Allaoui T.,Universite Ibn Khaldoun | Chaker A.,Laboratory SCAMRE
International Review of Automatic Control

This paper presents the design of optimal fuzzy logic controller, controlled an active power filter shunt (APFs) connected by a photovoltaic system for harmonics compensation and reactive power which is injected by non-linear loads. This method is applied to a APFs based on a three-phase voltage converter at three levels. The main paper's contribution is the use of three serial band-pass filters method, for reference currents calculation, and the application of fuzzy logic for better active filter current control accuracy. For pulse generation, we use the PWM strategy. The results presented in this paper clearly reflect the effectiveness of the proposed APF to meet the IEEE-519 standard recommendations on harmonic levels. © 2015 Praise Worthy Prize S.r.l. - All rights reserved. Source

Yousfi A.,Laboratory SCAMRE | Allaoui T.,Universite Ibn Khaldoun | Chaker A.,Laboratory SCAMRE
Proceedings of 2015 IEEE International Renewable and Sustainable Energy Conference, IRSEC 2015

In this paper, three-phase Five-level shunt active filter controlled by fuzzy logic current controller which can compensate current harmonics generated by nonlinear loads is presented. Five-level inverters and fuzzy controllers have been successfully employed in several power electronic applications these past years. To improve the conventional PWM controller performance, a new control scheme based on fuzzy current controller is adopted for five-level (NPC) shunt active filter. The scheme is designed to improve compensation capability of (APF) by adjusting the current error using a fuzzy rule. The inverter current reference signals required to compensate harmonic currents use a new method for identifying reference currents will be developed. An advanced control approach based on a multivariable filter is adopted. The novelty of the proposed control approach developed using a multi-variable filter (MVF), which can extract the harmonics content of load current reference, according to the axis of Concordia. The results of digital simulation in the Matlab-Simulink environment of a system power PD3 to thyristor outputs on an inductive load show well the effectiveness of this new technique of extraction of the harmonics of reference. © 2015 IEEE. Source

El Kebir A.,Laboratory SCAMRE | Belhadj H.,Laboratory SCAMRE | Chaker A.,Laboratory SCAMRE | Negadi K.,University of Khemis Miliana
International Review on Modelling and Simulations

Industrial electrical furnaces present many challenging control problems due to their non-linear dynamic behavior, uncertain and time varying parameters. We know that the temperature of the furnace is a physical quantity with nonlinearity and long time delay, it is difficult for us to use an accurate mathematic model to express, and in this case, we cannot use a model with fix parameters to control the temperature. According to the characteristic of the temperature, this paper-comes up with a internal model control using GA-NN approach for an electrical furnace is presented. The dynamics model of the neural network of the system is identified by the genetic algorithm. Another neural network is trained to learn the inverse dynamics of the electric furnace so that it can be used as a nonlinear controller. Because of the limitation of BP algorithm, the genetic algorithm is used to find the fitness weights and thresholds of the neural network model, and the simulation results testify that the method proposed for controlling the temperature of electrical furnace has good robustness and effectively compensates the influences of parameter variations. © 2014 Praise Worthy Prize S.r.l. - All rights reserved. Source

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