scholarly journals ANÁLISIS DEL DESEMPEÑO DE UN SISTEMA DE COMUNICACIONES CON MODULACIÓN 16/64 QAM BASADO EN HARDWARE RECONFIGURABLE

2014 ◽  
Vol 25 (1) ◽  
pp. 99-112
Author(s):  
Juan Camilo Zemanate Zuñiga ◽  
Julián Andrés Muñoz Hidalgo ◽  
Victor Manuel Quintero Flórez

En el presente artículo se analiza el desempeño de un sistema de comunicaciones banda base con Modulación de Amplitud en Cuadratura (QAM, Quadrature Amplitude Modulation), implementado sobre un Arreglo de Compuertas Programables de Campo (FPGA, Field Programmable Gate Arrays), a partir de la Tasa de Error de Bit (BER, Bit Error Rate) y del comportamiento del hardware reconfigurable.El sistema de comunicaciones banda base consideró un canal de Ruido Blanco Gaussiano Aditivo (AWGN, Additive White Gaussian Noise) y las modulaciones 16 QAM y 64 QAM. Se diseñó a través de la herramienta System Generator® de Xilinx®, se validó (a nivel de simulación) por medio de la comparación con un modelo en Simulink ® y se implementó sobre un FPGA Spartan 6 de Xilinx® mediante la descarga de un archivo de programación. Como resultados se obtuvieron las curvas de desempeño del sistema de comunicaciones banda base con modulación 16/64 QAM, las cuales fueron comparadas con las curvas de desempeño teóricas ofrecidas por la herramienta Bertool® de Matlab® para su correspondiente análisis. De este modo, se concluyó que dada la similitud de las curvas de desempeño obtenidas a partir de System Generator®, Simulink®, implementación y Bertool®, el sistema de comunicaciones banda base alcanzó resultados óptimos sobre hardware reconfigurable.

2011 ◽  
Vol 58 (3) ◽  
pp. 1040-1046 ◽  
Author(s):  
Gregory Allen ◽  
Larry D. Edmonds ◽  
Gary Swift ◽  
Carl Carmichael ◽  
Chen Wei Tseng ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2108
Author(s):  
Mohamed Yassine Allani ◽  
Jamel Riahi ◽  
Silvano Vergura ◽  
Abdelkader Mami

The development and optimization of a hybrid system composed of photovoltaic panels, wind turbines, converters, and batteries connected to the grid, is first presented. To generate the maximum power, two maximum power point tracker controllers based on fuzzy logic are required and a battery controller is used for the regulation of the DC voltage. When the power source varies, a high-voltage supply is incorporated (high gain DC-DC converter controlled by fuzzy logic) to boost the 24 V provided by the DC bus to the inverter voltage of about 400 V and to reduce energy losses to maximize the system performance. The inverter and the LCL filter allow for the integration of this hybrid system with AC loads and the grid. Moreover, a hardware solution for the field programmable gate arrays-based implementation of the controllers is proposed. The combination of these controllers was synthesized using the Integrated Synthesis Environment Design Suite software (Version: 14.7, City: Tunis, Country: Tunisia) and was successfully implemented on Field Programmable Gate Arrays Spartan 3E. The innovative design provides a suitable architecture based on power converters and control strategies that are dedicated to the proposed hybrid system to ensure system reliability. This implementation can provide a high level of flexibility that can facilitate the upgrade of a control system by simply updating or modifying the proposed algorithm running on the field programmable gate arrays board. The simulation results, using Matlab/Simulink (Version: 2016b, City: Tunis, Country: Tunisia, verify the efficiency of the proposed solution when the environmental conditions change. This study focused on the development and optimization of an electrical system control strategy to manage the produced energy and to coordinate the performance of the hybrid energy system. The paper proposes a combined photovoltaic and wind energy system, supported by a battery acting as an energy storage system. In addition, a bi-directional converter charges/discharges the battery, while a high-voltage gain converter connects them to the DC bus. The use of a battery is useful to compensate for the mismatch between the power demanded by the load and the power generated by the hybrid energy systems. The proposed field programmable gate arrays (FPGA)-based controllers ensure a fast time response by making control executable in real time.


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