Exploitation d'un Réseau d’Énergie Électrique Modulé en Largeur d'Impulsions pour la transmission de données par Courant Porteur en Ligne : Modélisation, Simulation et Expérimentation.

Abstract : Pulse Width Modulated (PWM) networks are used in adjustable-speed drive applications. Data like, speed and rotor position, coming from sensors on the motor, are necessary for the control. Other data like, temperature and current value are important for monitoring purposes. Using Power Line Communication (PLC) techniques to transfer data from those sensors to the control has some numerous benefits. The most obvious are, simplified installation and maintenance, increase of reliability and reduction of cost. Unfortunately, PLC modems used in low-voltage sinusoidal network are not compatible with this type of application. In fact, the PLC signal suffers from power cables attenuation. In addition, the PWM voltage can generate high level noise in the bandwidth used by traditional PLC modems. Therefore, a specific PLC solution is needed in this type of applications. To find an optimized solution, the motor, the inverter as well as the cables (10, 60 and 110 meters) are modeled by a chain matrix. The transfer function calculated from the model is verified by measurements. Afterward, the PWM voltage is measured and characterized. Using the transfer function in addition to the PWM measurements, the Channel to Noise Ratio (CNR) is calculated. The CNR provides the best two center frequencies for PLC couplers. For each frequency, a couple of couplers (Tx, Rx) of 10MHz width is made. A communication simulator is made using channel model and noise (PWM) measurements. In addition, the test bench is upgraded with a QAM modem. A wide comparison is made between results (output power, bit rate and BER) obtained from the test bench and from simulations.
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Nabil Zaraneh. Exploitation d'un Réseau d’Énergie Électrique Modulé en Largeur d'Impulsions pour la transmission de données par Courant Porteur en Ligne : Modélisation, Simulation et Expérimentation.. Electronique. UNIVERSITE DE NANTES, 2017. Français. ⟨tel-01686414⟩

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