A Real Time Algorithm for Versatile Mode Parking System and Its Implementation on FPGA Board

This paper presents the design and development of a technique for an Autonomous and Versatile mode Parking System (AVPS) that combines a various number of parking modes. The proposed approach is different from that of many developed parking systems. Previous research has focused on choosing only a parking lot starting from two parking modes (which are parallel and perpendicular). This research aims at developing a parking system that automatically chooses a parking lot starting from four parking modes. The automatic AVPS was proposed for the car-parking control problem, and could be potentially exploited for future vehicle generation. A specific mode can be easily computed using the proposed strategy. A variety of candidate modes could be generated using one developed real time VHDL (VHSIC Hardware Description Language) algorithm providing optimal solutions with performance measures. Based on simulation and experimental results, the AVPS is able to find and recognize in advance which parking mode to select. This combination describes full implementation on a mobile robot, such as a car, based on a specific FPGA (Field-Programmable Gate Array) card. To prove the effectiveness of the proposed innovation, an evaluation process comparing the proposed technique with existing techniques was conducted and outlined.

Detecção de faltas de alta impedância por meio de análise fasorial e correntes de sequência zero

<p class="Normal1"><span>Este trabalho apresenta uma solução para a detecção de faltas de alta impedância (FAIs) usando um dispositivo FPGA <span>(<em>Field Programmable Gate Array</em>). A proposição é de vital importância para o funcionamento adequado do sistema elétrico de distribuição de forma a atender aos requisitos dos procedimentos de distribuição (PRODIST), elaborados pela Agência Nacional de Energia Elétrica (ANEEL). Para analisar o comportamento das grandezas elétricas frente a essa falha, uma rede de distribuição primária foi modelada usando a plataforma MATLAB/Simulink^®. Paralelamente à modelagem, um algoritmo em linguagem VHDL (VHSIC <em>Hardware Description Language</em>) foi desenvolvido para a detecção da falta, no qual o monitoramento da corrente fasorial por meio da Transformada Discreta de Fourier foi utilizado, além do valor RMS da corrente de sequência zero. Para realizar as simulações e testes do algoritmo, o software ModelSim^® foi utilizado e, posteriormente, o código foi embarcado no dispositivo de lógica programável FPGA. O algoritmo de detecção de falta de alta impedância foi integrado ao sistema modelado em Simulink^® para monitoramento em tempo real e comando de um dispositivo de proteção. Os resultados apontam que o algoritmo foi capaz de detectar as faltas, indicando a fase interrompida e comandando a proteção de forma eficiente.</span></span></p>

Improved Redundant Binary Adder Realization in FPGA

This paper presents the design of improved redundant binary adder (IRBA) by utilizing positive–negative encoding rules in FPGA platform. The proposed design deals with inverted encoding of negative binary (IEN) and positive binary number to get addition result using readily available standard hardware module. The Verilog hardware description language is used as design entry for synthesis of the proposed architecture in Xilinx ISE Desisn Suite 14.4 software. This structure is realized on Vertex-4 xc4vfx12-12sf363 FPGA device. The proposed IRBA is found to be time efficient in comparison with the performance parameters such as propagation delay and area over previous reported architecture.

Implementation Study Of Field Programmable Gate Array (FPGA) And Complex Programmable Logic Device (CPLD) In Collision Avoidance System Using Vhsic Hardware Description Language (VHDL)

A collision avoidance system, also known as a pre-crash system, forward collision warning system, or collision mitigation system, is a sophisticated driver-assistance system that aims to avoid or mitigate the severity of a collision. For this research, collision avoidance system will be fabricating to show that this system can detect avoidance range before apply the braking action to prevent collision. The ultrasonic sensor will be used in this system to detect the avoidance range. In this collision avoidance system, there will be uses of Field Programmable Gate Array (FPGA) and Complex Programmable Logic Device (CPLD). This research will observe how to implement FPGA and CPLD in the collision avoidance system using VHSIC Hardware Description Language (VHDL). The VHDL will be done in Quartus II 15.0 Software. In this research, Terasic DE-10 Standard board has been used. It contains FPGA microcontroller model Cyclone V SoC 5CSXFC6D6F31C6N. Max II board is used because it contains CPLD microcontroller model EPM240T100C5.

Development of Library Components for Floating Point Processor

This paper deals with development of an n-bit binary to decimal conversion, decimal to n bit binary conversion and decimal to IEEE-754 conversion for floating point arithmetic logic unit (FPALU) using VHDL. Normally most of the industries now a days are using either 4-bit conversion of ALU or 8-bit conversions of ALU, so we have generalized this, thus we need not to worry about the bit size of conversion of ALU. It has solved all the problems of 4-bit, 8-bit, 16-bit conversions of ALU’s and so on. Hence, we have utilized VHSIC Hardware Description Language and Xilinx in accomplishing this task of development of conversions processes of ALU

Random-access memory coding in the Verilog description language for solving problems in radio electronics and mechanical engineering

The article proposes a variant of writing an algorithm for the operation of a device used in a field-programmable gate array on the example of random-access memory coding using the Verilog hardware description language. When performing the work, the Xilinx software is used, which allows working with the project at all stages of creating and describing the operation of the device logic. The practical significance of the work is the study and solution of the simplest problems in the development of modern radioelectronic rapid response devices in the Verilog hardware description language, such as coding a field-programmable gate array itself, writing test debugging code, setting input and output signals, sync pulse, reset and enable signals, describing the logic of devices such as counters, switches, registers and triggers, as well as simulating a finished project to assess the correct operation of the programmed device. This work can be used not only for teaching students of higher educational institutions in the field of development, debugging and coding of electronic and radio-electronic devices in terms of describing the algorithm of their work, but also for organizing laboratory work on courses of disciplines related to this topic, and for creating and designing real devices in production. The introduction and study of this programming language are conducted within the walls of one of the leading engineering universities of the Russian Federation — the Bauman Moscow State Technical University.

Energy Efficient Design on 16 nm Ultrascale Plus Architecture Using Static Probability and Toggle Rate

Scientists in 2010 were using a 40 nanometer Process based FPGA called Virtex-6 and 45 nm Process Technology based FPGA called Spartan-6. After 2010, researchers shifted their focus towards 28 nm technology based 7 series FPGA (Artix-7, Kintex-7, and Virtex-7) due to their intrinsic capability of low power consumption than both 40 nm and 45 nm technology based FPGA. In December, 2013, Xilinx introduced the 20 nm process technology based UltraScale series: Virtex UltraScale and Kintex UltraScale families. But now in 2020, researchers are using 16 nm technology based UltraScale+ FPGA. In our work, we are also using 16 nm technology based UltraScale+ FPGA for implementing our memory using VIVADO 2018.3 hardware programming tool and Verilog Hardware Description Language. There is 49.42%, 25.28% saving in design power on UltraScale+ FPGA when we minimize static probabilities to 0.1 and 0.2 respectively.