Neural networks in friction compensation, velocity & acceleration measurement and PID design

Sheng Qiang; X. Z. Gao; Xianyi Zhuang

doi:10.1109/ICIT.2002.1189865

Neural networks in friction compensation, velocity & acceleration measurement and PID design

Sheng Qiang
, X. Z. Gao
, Xianyi Zhuang

School of Astronautics

Aalto University
Harbin Institute of Technology

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

3 Scopus citations

Abstract

It is well known that in motor systems, friction is the main factor that degrades the overall servo performance. PID controllers based on the velocity and acceleration signals feedback can be used to reduce the tracking error, improve the robustness for modeling errors, as well as combat with the harmful friction. In this paper, we give an overview on the applications of neural networks in external friction compensation, the velocity and acceleration measurement, and PID parameter design & tuning in the servo motor systems.

Original language	English
Title of host publication	IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology
Subtitle of host publication	"Productivity Reincarnation Through Robotics and Automation"
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	72-77
Number of pages	6
ISBN (Electronic)	0780376579
DOIs	https://doi.org/10.1109/ICIT.2002.1189865
State	Published - 2002
Event	IEEE International Conference on Industrial Technology, IEEE ICIT 2002 - Bangkok, Thailand Duration: 11 Dec 2002 → 14 Dec 2002

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology
Volume	1

Conference

Conference	IEEE International Conference on Industrial Technology, IEEE ICIT 2002
Country/Territory	Thailand
City	Bangkok
Period	11/12/02 → 14/12/02

Keywords

Friction compensation
Neural networks
PID controller design
PID parameters tuning
Servo systems
Velocity and acceleration measurement

Access to Document

10.1109/ICIT.2002.1189865

Cite this

Qiang, S., Gao, X. Z., & Zhuang, X. (2002). Neural networks in friction compensation, velocity & acceleration measurement and PID design. In IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology: "Productivity Reincarnation Through Robotics and Automation" (pp. 72-77). Article 1189865 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2002.1189865

Qiang, Sheng ; Gao, X. Z. ; Zhuang, Xianyi. / Neural networks in friction compensation, velocity & acceleration measurement and PID design. IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology: "Productivity Reincarnation Through Robotics and Automation". Institute of Electrical and Electronics Engineers Inc., 2002. pp. 72-77 (Proceedings of the IEEE International Conference on Industrial Technology).

@inproceedings{e0b241c35a7d4282b7163bdfa0697575,

title = "Neural networks in friction compensation, velocity \& acceleration measurement and PID design",

abstract = "It is well known that in motor systems, friction is the main factor that degrades the overall servo performance. PID controllers based on the velocity and acceleration signals feedback can be used to reduce the tracking error, improve the robustness for modeling errors, as well as combat with the harmful friction. In this paper, we give an overview on the applications of neural networks in external friction compensation, the velocity and acceleration measurement, and PID parameter design \& tuning in the servo motor systems.",

keywords = "Friction compensation, Neural networks, PID controller design, PID parameters tuning, Servo systems, Velocity and acceleration measurement",

author = "Sheng Qiang and Gao, \{X. Z.\} and Xianyi Zhuang",

note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; IEEE International Conference on Industrial Technology, IEEE ICIT 2002 ; Conference date: 11-12-2002 Through 14-12-2002",

year = "2002",

doi = "10.1109/ICIT.2002.1189865",

language = "英语",

series = "Proceedings of the IEEE International Conference on Industrial Technology",

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

pages = "72--77",

booktitle = "IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology",

address = "美国",

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Qiang, S, Gao, XZ & Zhuang, X 2002, Neural networks in friction compensation, velocity & acceleration measurement and PID design. in IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology: "Productivity Reincarnation Through Robotics and Automation"., 1189865, Proceedings of the IEEE International Conference on Industrial Technology, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 72-77, IEEE International Conference on Industrial Technology, IEEE ICIT 2002, Bangkok, Thailand, 11/12/02. https://doi.org/10.1109/ICIT.2002.1189865

Neural networks in friction compensation, velocity & acceleration measurement and PID design. / Qiang, Sheng; Gao, X. Z.; Zhuang, Xianyi.
IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology: "Productivity Reincarnation Through Robotics and Automation". Institute of Electrical and Electronics Engineers Inc., 2002. p. 72-77 1189865 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 1).

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

TY - GEN

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AU - Qiang, Sheng

AU - Gao, X. Z.

AU - Zhuang, Xianyi

PY - 2002

Y1 - 2002

N2 - It is well known that in motor systems, friction is the main factor that degrades the overall servo performance. PID controllers based on the velocity and acceleration signals feedback can be used to reduce the tracking error, improve the robustness for modeling errors, as well as combat with the harmful friction. In this paper, we give an overview on the applications of neural networks in external friction compensation, the velocity and acceleration measurement, and PID parameter design & tuning in the servo motor systems.

AB - It is well known that in motor systems, friction is the main factor that degrades the overall servo performance. PID controllers based on the velocity and acceleration signals feedback can be used to reduce the tracking error, improve the robustness for modeling errors, as well as combat with the harmful friction. In this paper, we give an overview on the applications of neural networks in external friction compensation, the velocity and acceleration measurement, and PID parameter design & tuning in the servo motor systems.

KW - Friction compensation

KW - Neural networks

KW - PID controller design

KW - PID parameters tuning

KW - Servo systems

KW - Velocity and acceleration measurement

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U2 - 10.1109/ICIT.2002.1189865

DO - 10.1109/ICIT.2002.1189865

M3 - 会议稿件

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T3 - Proceedings of the IEEE International Conference on Industrial Technology

SP - 72

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BT - IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Industrial Technology, IEEE ICIT 2002

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ER -

Qiang S, Gao XZ, Zhuang X. Neural networks in friction compensation, velocity & acceleration measurement and PID design. In IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology: "Productivity Reincarnation Through Robotics and Automation". Institute of Electrical and Electronics Engineers Inc. 2002. p. 72-77. 1189865. (Proceedings of the IEEE International Conference on Industrial Technology). doi: 10.1109/ICIT.2002.1189865

Neural networks in friction compensation, velocity & acceleration measurement and PID design

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Keywords

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