The design of iterative learning control scheme for CNC machine tools

Tingting Meng; Jiangang Li; Depeng Zheng; Zexiang Li

doi:10.1109/ICInfA.2016.7831903

The design of iterative learning control scheme for CNC machine tools

Tingting Meng
, Jiangang Li^*
, Depeng Zheng
, Zexiang Li

^*Corresponding author for this work

Hong Kong University of Science and Technology

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

4 Scopus citations

Abstract

This paper presents a perfect tracking method by combining iterative learning control (ILC) with disturbance observer (DOB) for CNC machine tools that perform the same tasks repeatedly. Although CNC systems have many nonlinear factors, they can be easily solved by ILC instead of complicated modeling. Also, for repeated disturbance, ILC performs very well and for non-repeated disturbance, DOB works much better. Besides, in order to facilitate the application, this paper proposes a variable gain algorithm with conditional compensation. Simulative results demonstrate the proposed learning scheme can improve machining accuracy when the CNC machine tools perform repetitive machining tasks.

Original language	English
Title of host publication	2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	665-670
Number of pages	6
ISBN (Electronic)	9781509041022
DOIs	https://doi.org/10.1109/ICInfA.2016.7831903
State	Published - 24 Jan 2017
Externally published	Yes
Event	2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016 - Ningbo, China Duration: 1 Aug 2016 → 3 Aug 2016

Publication series

Name	2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016

Conference

Conference	2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016
Country/Territory	China
City	Ningbo
Period	1/08/16 → 3/08/16

Keywords

ILC CNC DOB repetitive tasks

Access to Document

10.1109/ICInfA.2016.7831903

Cite this

Meng, T., Li, J., Zheng, D., & Li, Z. (2017). The design of iterative learning control scheme for CNC machine tools. In 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016 (pp. 665-670). Article 7831903 (2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICInfA.2016.7831903

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title = "The design of iterative learning control scheme for CNC machine tools",

abstract = "This paper presents a perfect tracking method by combining iterative learning control (ILC) with disturbance observer (DOB) for CNC machine tools that perform the same tasks repeatedly. Although CNC systems have many nonlinear factors, they can be easily solved by ILC instead of complicated modeling. Also, for repeated disturbance, ILC performs very well and for non-repeated disturbance, DOB works much better. Besides, in order to facilitate the application, this paper proposes a variable gain algorithm with conditional compensation. Simulative results demonstrate the proposed learning scheme can improve machining accuracy when the CNC machine tools perform repetitive machining tasks.",

keywords = "ILC CNC DOB repetitive tasks",

author = "Tingting Meng and Jiangang Li and Depeng Zheng and Zexiang Li",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016 ; Conference date: 01-08-2016 Through 03-08-2016",

year = "2017",

month = jan,

day = "24",

doi = "10.1109/ICInfA.2016.7831903",

language = "英语",

series = "2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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address = "美国",

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Meng, T, Li, J, Zheng, D & Li, Z 2017, The design of iterative learning control scheme for CNC machine tools. in 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016., 7831903, 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016, Institute of Electrical and Electronics Engineers Inc., pp. 665-670, 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016, Ningbo, China, 1/08/16. https://doi.org/10.1109/ICInfA.2016.7831903

The design of iterative learning control scheme for CNC machine tools. / Meng, Tingting; Li, Jiangang; Zheng, Depeng et al.
2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 665-670 7831903 (2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016).

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

TY - GEN

T1 - The design of iterative learning control scheme for CNC machine tools

AU - Meng, Tingting

AU - Li, Jiangang

AU - Zheng, Depeng

AU - Li, Zexiang

PY - 2017/1/24

Y1 - 2017/1/24

N2 - This paper presents a perfect tracking method by combining iterative learning control (ILC) with disturbance observer (DOB) for CNC machine tools that perform the same tasks repeatedly. Although CNC systems have many nonlinear factors, they can be easily solved by ILC instead of complicated modeling. Also, for repeated disturbance, ILC performs very well and for non-repeated disturbance, DOB works much better. Besides, in order to facilitate the application, this paper proposes a variable gain algorithm with conditional compensation. Simulative results demonstrate the proposed learning scheme can improve machining accuracy when the CNC machine tools perform repetitive machining tasks.

AB - This paper presents a perfect tracking method by combining iterative learning control (ILC) with disturbance observer (DOB) for CNC machine tools that perform the same tasks repeatedly. Although CNC systems have many nonlinear factors, they can be easily solved by ILC instead of complicated modeling. Also, for repeated disturbance, ILC performs very well and for non-repeated disturbance, DOB works much better. Besides, in order to facilitate the application, this paper proposes a variable gain algorithm with conditional compensation. Simulative results demonstrate the proposed learning scheme can improve machining accuracy when the CNC machine tools perform repetitive machining tasks.

KW - ILC CNC DOB repetitive tasks

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U2 - 10.1109/ICInfA.2016.7831903

DO - 10.1109/ICInfA.2016.7831903

M3 - 会议稿件

AN - SCOPUS:85015731036

T3 - 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016

SP - 665

EP - 670

BT - 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016

Y2 - 1 August 2016 through 3 August 2016

ER -

Meng T, Li J, Zheng D, Li Z. The design of iterative learning control scheme for CNC machine tools. In 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 665-670. 7831903. (2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016). doi: 10.1109/ICInfA.2016.7831903

The design of iterative learning control scheme for CNC machine tools

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