scholarly journals A Multi-Terminal Net Router for Field-Programmable Gate Arrays

VLSI Design ◽  
1996 ◽  
Vol 4 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Dinesh Bhatia ◽  
Amit Chowdhary

This paper presents a router for routing multi-terminal nets in field-programmable gate arrays (FPGAs). The router does not require pre-assignment of routing channels, a phase that is normally accomplished during global routing. This direct routing approach greatly enhances the probability of routing (routability). The multi-terminal routing greatly reduces the total wire length as it approximates a Steiner tree. The total number of segments required to route the circuits is usually less as compared to other routing approaches. The router has generated excellent routing results for some industrial circuits. The memory requirements for this router are very low. The time needed for the routing is linear with respect to the size of the circuit.

VLSI Design ◽  
1998 ◽  
Vol 7 (1) ◽  
pp. 97-110 ◽  
Author(s):  
Michael J. Alexander ◽  
James P. Cohoon ◽  
Joseph L. Ganley ◽  
Gabriel Robins

This paper presents a performance-oriented placement and routing tool for field-programmable gate arrays. Using recursive geometric partitioning for simultaneous placement and global routing, and a graph-based strategy for detailed routing, our tool optimizes source-sink pathlengths, channel width and total wirelength. Our results compare favorably with other FPGA layout tools, as measured by the maximum channel width required to place and route several benchmarks.


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.


Sign in / Sign up

Export Citation Format

Share Document