A scalable accuracy fuzzy logic controller on FPGA

被引：11

作者：

Sun, Yize ^{[1
]}

Tang, Shiqing ^{[1
]}

Meng, Zhuo ^{[1
]}

Zhao, Yiman ^{[1
]}

Yang, Yunhu ^{[2
]}

机构：

[1] Donghua Univ, Coll Mech Engn, Shanghai 201620, Peoples R China

[2] Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243002, Peoples R China

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2015年 / 42卷 / 19期

关键词：

Scalable; Fuzzy accuracy factor; Fuzzy logic controller (FLC); FPGA; INTERVAL TYPE-2; DESIGN;

D O I：

10.1016/j.eswa.2015.04.050

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A distributed, scalable and flexible fuzzy logic controller (FLC) without increasing additional hardware cost by fuzzy accuracy factor is proposed. In order to improve fuzzy logic operation speed, multi-input/multi-output (MIMO) fuzzy system is decomposed into several independent two-input/single-output (TISO) subsystems in parallel. The decomposed TISO FLC can deal with scalable requirements in terms of number of input language variables, output language variables, data accuracy types and fuzzy rules. In this paper, the systematic design methods are presented in detail, and the scalable TISO FLC architectures are addressed with fuzzification of fuzzy accuracy factor and analog-to-digital conversion (ADC) quantizer, fuzzy rules and fuzzy inference engine, and the defuzzification by a scalable divider. At last, A JTAG-TCL tool is developed to compare the scalable TISO FLC with other FLCs in resource, accuracy, and speed. The experiment results of photovoltaic (PV) system indicate that the proposed FLC has flexible control accuracy, fast response and better tracking performance. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：6658 / 6673

页数：16

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