The Research of Multivariable Fuzzy Neural Network Controller Based on FPGA

JING Gu; LIU Lu-yang; YU Xiao-yang

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The Research of Multivariable Fuzzy Neural Network Controller Based on FPGA

更新时间：2026-07-10

- The Research of Multivariable Fuzzy Neural Network Controller Based on FPGA
- Vol. 16, Issue 2, Pages: 44-48(2011)
- 作者机构：
  
  哈尔滨理工大学计算机科学与技术学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP13
- Published：2011
- 稿件说明：
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JING Gu, LIU Lu-yang, YU Xiao-yang. The Research of Multivariable Fuzzy Neural Network Controller Based on FPGA[J]. 2011, 16(2): 44-48.
DOI：

JING Gu, LIU Lu-yang, YU Xiao-yang. The Research of Multivariable Fuzzy Neural Network Controller Based on FPGA[J]. 2011, 16(2): 44-48. DOI：

摘要

在对基于FPGA模糊神经网络控制的原理和设计中使用的算法进行分析后

对模糊神经网络控制器进行分层设计

设计模块主要包括模糊化模块、控制规则模块、归一化模块、权值-参数计算模块和去模糊化模块.在设计过程中遵循自顶向下的设计原则

并对各个模块设计进行优化处理

最后对整个系统进行设计综合.实验表明:该设计方案是可行的

不仅可以提高控制器的运行速度

还可以改善传统模糊神经网络控制器的控制性能.

Abstract

In analysis of the control principle of fuzzy neural network based on FPGA and the design algorithm

hierarchal design of the fuzzy neural network controller is carried out.The design includes fuzzification module

control rule module

normalization module

weight parameter module and defuzzification module.The principle of top-down design is followed in the design process

each module design has been optimized

and then the whole system design and synthesis is carried out.The experiment results show the feasibil...

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