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An FPGA-based approach to the automatic generation of VHDL code for industrial control systems applications: A case study of MSOGIs implementation

机译:用于工业控制系统应用的基于FPGA的自动生成VHDL代码的方法:MSOGI实现的案例研究

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摘要

When used for specifying control systems, system level design tools such as Xilinx System Generator (XSG) allows the use of Simulink for designs based on Field Programmable Gate Arrays (FPGAs). This increases productivity by reducing the wide gap between control system designers and FPGA-based implementations. However, there is still a need for new methods to bridge the gap since a direct implementation from XSG may not be an optimal solution when constraints are imposed. This is particularly true for resource-dominated circuits, where the number of operational units exceed the number of available resources. This paper presents both a methodology and a tool aimed at automatically reducing the required resources, in particular in systems where the required sampling period is greater than the computation time delay. An automatic process of converting XSG specifications into efficient Very High Speed Integrated Circuit Hardware Description Language (VHDL) code is described. The process mainly involves customized fixed-point hardware definition, Data Flow Graph (DFG) extraction, resource-constrained and latency-constrained scheduling and VHDL specification of the system, inter alia. This solution considerably improves on the results obtained by XSG.
机译:当用于指定控制系统时,诸如Xilinx System Generator(XSG)之类的系统级设计工具允许使用Simulink进行基于现场可编程门阵列(FPGA)的设计。通过减少控制系统设计人员与基于FPGA的实现之间的巨大差距,提高了生产率。但是,仍然需要新的方法来弥合差距,因为当施加约束时,从XSG直接实施可能不是最佳解决方案。对于资源支配的电路尤其如此,其中操作单元的数量超过可用资源的数量。本文介绍了一种旨在自动减少所需资源的方法和工具,特别是在所需采样周期大于计算时间延迟的系统中。描述了将XSG规范转换为高效的超高速集成电路硬件描述语言(VHDL)代码的自动过程。该过程主要涉及定制的定点硬件定义,数据流图(DFG)提取,资源受限和时延受限的调度以及系统的VHDL规范等。该解决方案大大改善了XSG的结果。

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