A PID Controller based on ESO and Tuning Method

Xiangyang Li; Yu Hu; Zhiqiang Gao; Wei Ai; Senping Tian

doi:10.1109/DDCLS55054.2022.9858433

A PID Controller based on ESO and Tuning Method

Xiangyang Li
, Yu Hu
, Zhiqiang Gao
, Wei Ai
, Senping Tian

Electrical and Computer Engineering

South China University of Technology
Cleveland State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

PID (proportional-integral-derivative) is a widely used form of industrial control because of its simplicity and effectiveness. Its tuning, however, is usually tedious and experience dependent. In this paper, a more general form of PID, denoted as PID n-1, is proposed as a variation of ADRC (active disturbance rejection control). In addition to dealing with high order dynamics, the PID n-1 has only three parameters b0o and c to tune, all of them have explicit physical meanings. This helps streamlining the controller tuning process and making PID n-1 easy to use in industry. The experiments verify the effectiveness of the proposed PID n-1 solution and the ease of tuning.

Original language	English
Title of host publication	Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022
Editors	Mingxuan Sun, Zengqiang Chen
Place of Publication	usa
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1026-1030
Number of pages	5
ISBN (Electronic)	9781665496759
DOIs	https://doi.org/10.1109/DDCLS55054.2022.9858433
State	Published - Jan 1 2022
Event	11th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2022 - Emeishan, China Duration: Aug 3 2022 → Aug 5 2022

Conference

Conference	11th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2022
Country/Territory	China
City	Emeishan
Period	08/3/22 → 08/5/22

Keywords

Proportional-integral-derivative (PID)
active disturbance rejection controller (ADRC)
extended state observer (ESO)
high order PID controller
tracking differentiator (TD)

Access to Document

10.1109/DDCLS55054.2022.9858433

Cite this

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title = "A PID Controller based on ESO and Tuning Method",

abstract = "PID (proportional-integral-derivative) is a widely used form of industrial control because of its simplicity and effectiveness. Its tuning, however, is usually tedious and experience dependent. In this paper, a more general form of PID, denoted as PID n-1, is proposed as a variation of ADRC (active disturbance rejection control). In addition to dealing with high order dynamics, the PID n-1 has only three parameters b0o and c to tune, all of them have explicit physical meanings. This helps streamlining the controller tuning process and making PID n-1 easy to use in industry. The experiments verify the effectiveness of the proposed PID n-1 solution and the ease of tuning.",

keywords = "Proportional-integral-derivative (PID), active disturbance rejection controller (ADRC), extended state observer (ESO), high order PID controller, tracking differentiator (TD)",

author = "Xiangyang Li and Yu Hu and Zhiqiang Gao and Wei Ai and Senping Tian",

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booktitle = "Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022",

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note = "11th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2022 ; Conference date: 03-08-2022 Through 05-08-2022",

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Li, X, Hu, Y, Gao, Z, Ai, W & Tian, S 2022, A PID Controller based on ESO and Tuning Method. in M Sun & Z Chen (eds), Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022. Institute of Electrical and Electronics Engineers Inc., usa, pp. 1026-1030, 11th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2022, Emeishan, China, 08/3/22. https://doi.org/10.1109/DDCLS55054.2022.9858433

A PID Controller based on ESO and Tuning Method. / Li, Xiangyang; Hu, Yu; Gao, Zhiqiang et al.
Proceedings of 2022 IEEE 11th Data Driven Control and Learning Systems Conference, DDCLS 2022. ed. / Mingxuan Sun; Zengqiang Chen. usa: Institute of Electrical and Electronics Engineers Inc., 2022. p. 1026-1030.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Li, Xiangyang

AU - Hu, Yu

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AU - Ai, Wei

AU - Tian, Senping

PY - 2022/1/1

Y1 - 2022/1/1

N2 - PID (proportional-integral-derivative) is a widely used form of industrial control because of its simplicity and effectiveness. Its tuning, however, is usually tedious and experience dependent. In this paper, a more general form of PID, denoted as PID n-1, is proposed as a variation of ADRC (active disturbance rejection control). In addition to dealing with high order dynamics, the PID n-1 has only three parameters b0o and c to tune, all of them have explicit physical meanings. This helps streamlining the controller tuning process and making PID n-1 easy to use in industry. The experiments verify the effectiveness of the proposed PID n-1 solution and the ease of tuning.

AB - PID (proportional-integral-derivative) is a widely used form of industrial control because of its simplicity and effectiveness. Its tuning, however, is usually tedious and experience dependent. In this paper, a more general form of PID, denoted as PID n-1, is proposed as a variation of ADRC (active disturbance rejection control). In addition to dealing with high order dynamics, the PID n-1 has only three parameters b0o and c to tune, all of them have explicit physical meanings. This helps streamlining the controller tuning process and making PID n-1 easy to use in industry. The experiments verify the effectiveness of the proposed PID n-1 solution and the ease of tuning.

KW - Proportional-integral-derivative (PID)

KW - active disturbance rejection controller (ADRC)

KW - extended state observer (ESO)

KW - high order PID controller

KW - tracking differentiator (TD)

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ER -

A PID Controller based on ESO and Tuning Method

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Keywords

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