Model optimization for autotuners in industrial control systems

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Abstract

Automatic tuning of PID controllers using relay feedback experiments has received attention on and off since it was first proposed and industrially implemented in a control system in the 1980s. While optimal experiment design and modern system identification easily outperform the original automatic tuner, they rely on computational resources that are not always available in industrial control systems. Here we present a combination of experiment and subsequent output-error identification of continuoustime first-order time-delayed (FOTD) system models, that requires very little in terms of computations and memory. The method has been extensively evaluated in simulation, and a prototype has been implemented for the ABB AC 800M controller family.
Original languageEnglish
Title of host publicationProceedings of the 26th International Conference on Emerging Technologies and Factory Automation (ETFA)
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication statusAccepted/In press - 2021
Event26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) - Västerås, Sweden
Duration: 2021 Sep 72021 Sep 10
https://2021.ieee-etfa.org

Conference

Conference26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Abbreviated titleETFA 2021
Country/TerritorySweden
CityVästerås
Period2021/09/072021/09/10
Internet address

Subject classification (UKÄ)

  • Control Engineering

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