基于FPGA的高速神经模糊控制器合成

2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT) Pub Date : 2020-11-25 DOI:10.1109/ATIT50783.2020.9349299

Petro Kravets, Viacheslav Nevolko, V. Shymkovych, Lyubov Shymkovych

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引用次数: 1

摘要

针对高速对象和毫秒级过程的控制系统，提出了基于神经网络的模糊控制器的合成与实现技术，并在FPGA上进行了硬件实现。所描述的基于FPGA神经网络的lfd合成技术允许实现简单的结构调节器，在时间(0.0001…0.0003)秒内提供控制解决方案的搜索，这允许以顺序速度(0.5…1.0)10−3秒控制对象和过程。

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Synthesis of High-Speed Neuro-Fuzzy-ControllersBased on FPGA

In this paper presents the technology of synthesis and implementation of fuzzy controllers based on neural network with hardware implementation on FPGA, designed for systems of control of high-speed objects and processes of millisecond level. The described technology of synthesis of LFDs based on FPGA neural network allows to implement simple in structure regulators that provide search for control solutions in a time (0.0001… 0.0003) sec, which allows to control objects and processes with order speed (0.5…1.0) 10 −3sec.

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2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)

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