Genetic optimization of fuzzy fractional PD plus I controllers

被引：38

作者：

Jesus, Isabel S. ^{[1
]}

Barbosal, Ramiro S. ^{[1
]}

机构：

[1] Polytech Porto, Inst Engn, GECAD Knowledge Engn & Decis Support Res Ctr, Dept Elect Engn,ISEP IPP, Oporto, Portugal

来源：

ISA TRANSACTIONS | 2015年 / 57卷

关键词：

Genetic algorithm; Optimization; PID controller; Fuzzy logic; Fractional Control; Fuzzy controller; PID CONTROLLER; DESIGN; SYSTEMS; LOGIC; STABILITY;

D O I：

10.1016/j.isatra.2015.01.006

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Fractional order calculus is a powerful emerging mathematical tool in science and engineering. There is currently an increasing interest in generalizing classical control theories and developing novel control strategies. The genetic algorithms (GA) are a stochastic search and optimization methods based on the reproduction processes found in biological systems, used for solving engineering problems. In the context of process control, the fuzzy logic usually means variables that are described by imprecise terms, and represented by quantities that are qualitative and vague. In this article we consider the development of an optimal fuzzy fractional PD+I controller in which the parameters are tuned by a GA. The performance of the proposed fuzzy fractional control is illustrated through some application examples. (C) 2015 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：220 / 230

页数：11

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