scholarly journals PROJETO E IMPLEMENTAÇÃO DE FILTRO DE KALMAN EMBARCADO EM FPGA PARA O RASTREIO DE FOGUETES BALÍSTICOS

Author(s):  
Madson Cruz Machado ◽  
João Viana da Fonseca Neto ◽  
José Alano Peres Abreu

Neste trabalho faz-se uma abordagem acerca do fiiltro de Kalman no que tange a sua concep-ção, modelamento matemático, algoritmo de fiiltragem e implementação em FPGA (Field Programmable Gate Arrays). Faz-se também um breve estudo sobre o dispositivo lógico programável (PLD) do tipo FPGA, sua arquitetura e suas aplicações. Após o estudo acerca do fiiltro de Kalman e sobre FPGA pas-sa-se para a etapa de embarcar o fiiltro em hardware do tipo FPGA explorando as suas características de processamento paralelo. A etapa fiinal é a validação do fiiltro executando o algoritmo de fiiltragem em FPGA usando dados reais de lançamento de foguetes balísticos. Os dados foram fornecidos pelo Centro de Lançamento de Alcântara (CLA). A principal contribuição deste trabalho é a implementação de uma arquitetura FPGA reconfigurável, garantindo uma plataforma rápida o suficiente para radares com alta precisão e boa capacidade de rastreamento de foguetes.Palavras-chave: Filtro de Kalman. FPGA. Lançamento de foguete. Filtragem.DESIGN AND IMPLEMENTATION OF KALMAN FILTER EMBEDDED IN FPGA FOR TRACKING OF BALLISTIC ROCKETABSTRACT: This work is an approach about the Kalman filter with respect to its design, mathematical modeling, filtering algorithm and implementation in FPGA (Field Programmable Gate Arrays). Also make a brief study on the programmable logic device (PLD) type FPGA, its architecture and its applications. After the study of the Kalman filter on FPGA and passes to the step of embedded on the filter in FPGA type hardware exploring its features parallel processing. The final step is to validate the filter running filtering algorithm in FPGA using real data from launching ballistic rockets. The data were provided by the Alcan-tara Launch Center (CLA). The main contribution of this work is the implementation of a reconfigurable FPGA architecture, ensuring fast enough to radar platform with high accuracy and good tracking capability rockets.KEYWORDS: Kalman filter. FPGA. Rocket launching. Filtering.DISEÑO E IMPLEMENTACIÓN DE FILTRO KALMAN EMBARCARON EN FPGA PARA DETECCIÓN DE ROCKET BALLISTICRESUMEN: Este trabajo es un enfoque sobre el filtro de Kalman con respecto a su diseño, el modelado matemático y la implementación algoritmo de filtrado en FPGA (Field Programmable Gate Arrays). Tambi-én hace un breve estudio sobre el dispositivo lógico programable (PLD) tipo FPGA, su arquitectura y sus aplicaciones. Tras el estudio del filtro de Kalman en FPGA pasa a la etapa de embarcarse en la FPGA hardware tipo de filtro explorar sus características de procesamiento paralelo. El último paso es validar el filtro funcionando algoritmo de filtrado en FPGA utilizando datos reales de lanzamiento de cohetes balísti-cos. Los datos fueron proporcionados por el Centro de Lanzamiento de Alcántara (CLA). La principal con-tribución de este trabajo es la implementación de una arquitectura FPGA reconfigurable, asegurando la suficiente rapidez a la plataforma de radar con alta precisión y buenos cohetes capacidad de seguimiento.PALABRAS CLAVE: Filtro de Kalman. FPGA. Cohete de lanzamiento. El filtrado.

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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