A Study of Self-Tuning Controller using Closed-Loop Data

A self-tuning controller achieves its control objectives by adaptively adjusting the parameters of the controlled plant or the controller itself, and it has been a topic of research in recent years. This paper proposes a new method for adjusting the size of the estimation error in the parameter iden...

Full description

Saved in:
Bibliographic Details
Main Author: Yanou, Akira
Format: Conference Proceeding
Language:English
Subjects:
Closed-loop data
Estimation error
Generalized minimum variance control
Manufacturing automation
Parameter estimation
PI control
Self-tuning controller
Time-varying systems
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A self-tuning controller achieves its control objectives by adaptively adjusting the parameters of the controlled plant or the controller itself, and it has been a topic of research in recent years. This paper proposes a new method for adjusting the size of the estimation error in the parameter identification law using closed-loop data. The proposed self-tuning controller features a mechanism where parameter identification is suspended when the tracking error between the reference signal and the output reaches zero. The effectiveness of the proposed controller is demonstrated through a numerical example.
ISSN:1946-0759
DOI:10.1109/ETFA61755.2024.10711017