Adaptive Neuro-Fuzzy Structure Based Control Architecture

被引：3

作者：

Tamas, Tibor ^{[1
]}

Hajdu, Szabolcs ^{[1
]}

Brassai, Sandor Tihamer ^{[1
]}

机构：

[1] Sapientia Hungarian Univ Transylvania, 1C, Corunca 547367, Romania

来源：

9TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING, INTER-ENG 2015 | 2016年 / 22卷

关键词：

neuro-fuzzy; FPGA; HIS; adaptive embedded control; SYSTEM; IMPLEMENTATION;

D O I：

10.1016/j.protcy.2016.01.126

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The purpose of this paper is to present a practical application of a Sugeno model based adaptive neuro-fuzzy architecture. The main challenge of the project was to realize the real-time control of the system and the real-time parameter adaptation of the controller. The neuro-fuzzy controller module is implemented using High Level Synthesis technique, and it's integrated into a microprocessor based architecture on a System on Chip (SoC) type integrated circuit. The architecture is used to control a two degrees of freedom system, which is composed of two horizontal arms attached to a linear bearing. The bearing is running on a vertical beam so the system can execute a vertical motion and a rotary motion around the vertical axle. The positions according to the two degrees of freedom are determined using an ultrasonic and a magnetic sensor. (C) 2016 The Authors. Published by Elsevier Ltd.

引用

页码：600 / 605

页数：6

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