Implementation of Fuzzy Logic Controller Algorithms with MF optimization on FPGA

Samet Ahmed, Kourd Yahia
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Abstract

In this work, we propose the design and implementation of a parallel-structured fuzzy logic controller with integral action and anti-windup. The Grey Wolf Optimization (GWO) optimization technique is used to optimize fuzzy rules, which allows for the complicated algebraic ideas of type 1 fuzzy logic algorithms to be reduced to straightforward numerical equations for FPGA target implementation. The techniques for operating a geared DC motor are optimized by the membership function structure of our controller's data propagation. Our proposed controller was implemented in Xilinx System Generator (XSG) and co-simulated on hardware and software with VIVADO and XSG tools.
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在 FPGA 上利用 MF 优化实现模糊逻辑控制器算法
在这项研究中,我们提出了一种具有积分作用和防倒转功能的并行结构模糊逻辑控制器的设计和实现方法。我们采用灰狼优化(GWO)技术来优化模糊规则,从而将第一类模糊逻辑算法的复杂代数思想简化为直接的数字方程,以便于 FPGA 目标实现。我们控制器的数据传播成员函数结构优化了齿轮直流电机的操作技术。我们提出的控制器是在赛灵思系统生成器 (XSG) 中实现的,并使用 VIVADO 和 XSG 工具在硬件和软件上进行了联合仿真。
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