Iterative Feedback Tuning of Model-Free Controllers

被引：5

作者：

Baciu, Andrei ^{[1
]}

Lazar, Comeliu ^{[1
]}

Caruntu, Constantin -Florin ^{[1
]}

机构：

[1] Alexandru Ioan Cuza Univ, Gheorghe Asachi Tech, Dept Automat Control & Appl Informat, Iasi, Romania

来源：

2021 25TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC) | 2021年

关键词：

Data Driven Control; Model-Free Control; Iterative Feedback Tuning; Engine Speed Control;

D O I：

10.1109/ICSTCC52150.2021.9607213

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Iterative Feedback Tuning (IFT) and Model Free Control (MFC) are strategies from the Data Driven Control (DDC) class. The first is a controller tuning method and the second is a control algorithm, both based only on the data collected from the process. In this paper, a new strategy that improves the MFC control law performance with the IFT algorithm is proposed. To tune the MFC controller parameters, several signals are collected from the process, and an iterative procedure is started. The objective of the tuning procedure is to minimize a criterion that leads to a new set of parameters for the MFC algorithm. The proposed algorithm is tested in a speed control application on an internal combustion engine with a complex model. The results obtained with the intelligent P (iP)-IFT algorithm are compared with PI and iP control laws to analyze the impact of IFT on the iP control loop.

引用

页码：467 / 472

页数：6

共 11 条

[1]

[Anonymous], About Us

[2]

Baciu A, 2020, INT CONF SYST THEO, P868, DOI [10.1109/icstcc50638.2020.9259724, 10.1109/ICSTCC50638.2020.9259724]

[3]

Baciu A, 2019, INT CONF SYST THEO, P480, DOI [10.1109/ICSTCC.2019.8886156, 10.1109/icstcc.2019.8886156]

[4]

Fliess Michel, 2008, E STA, V5, P1

[5] Iterative feedback tuning: Theory and Applications [J].

Hjalmarsson, H ;

Gevers, M ;

Gunnarsson, S ;

Lequin, O .

IEEE CONTROL SYSTEMS MAGAZINE, 1998, 18 (04) :26-41

[6] From model-based control to data-driven control: Survey, classification and perspective [J].

Hou, Zhong-Sheng ;

Wang, Zhuo .

INFORMATION SCIENCES, 2013, 235 :3-35

[7]

Precup RE, 2014, ANN IEEE SYST CONF, P30, DOI 10.1109/SysCon.2014.6819232

[8]

Roman RC, 2017, MACHINES, V5, DOI 10.3390/machines5040025

[9]

Ulsoy A., 2000, AUTOMOTIVE CONTROL S, P33

[10]

Wu WF, 2019, IEEE ASME INT C ADV, P954, DOI [10.1109/aim.2019.8868584, 10.1109/AIM.2019.8868584]

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