Hardware/software approache for the FPGA implementation of a fuzzy logic controller

M. Masmoudi, I. Song, F. Karray, M. Masmoudi, N. Derbel
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引用次数: 8

Abstract

This paper presents different approaches to design and implement a fuzzy logic controller (FLC) for an intelligent parking system (IPS). In recent years fuzzy logic has been adopted for scientific and engineering applications. FLC is particularly successful in the area of system control when human expert knowledge is available. It provides an alternative much simpler than the use of an analytical model. FLC can be implemented on an FPGA (field-programmable gate array) using software or hardware approach. With the software approach, FLC is performed on a flexible FPGA soft core processor. The FLC is developed and tested on a reconfigurable FPGA board
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硬件/软件方法的FPGA实现模糊逻辑控制器
本文介绍了智能停车系统中模糊控制器(FLC)的设计与实现方法。近年来,模糊逻辑已广泛应用于科学和工程领域。当有人类专家知识可用时,FLC在系统控制领域尤其成功。它提供了一种比使用分析模型简单得多的替代方法。FLC可以通过软件或硬件方式在FPGA(现场可编程门阵列)上实现。采用软件方法,在灵活的FPGA软核处理器上实现FLC。在可重构的FPGA板上对FLC进行了开发和测试
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