Multi-Axis Servo System Control Design Considering Low-Speed Friction Dynamics

This paper introduces an extended state observer-based command filtered backstepping control method to improve the tracking accuracy and synchronization performance of multi-motor-driving servo systems under the condition of low-speed nonlinear friction dynamics. Firstly, a novel and effective four-...

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Main Authors: Huimin Liu, Rui Wang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/12/22/3475
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author Huimin Liu
Rui Wang
author_facet Huimin Liu
Rui Wang
author_sort Huimin Liu
collection DOAJ
description This paper introduces an extended state observer-based command filtered backstepping control method to improve the tracking accuracy and synchronization performance of multi-motor-driving servo systems under the condition of low-speed nonlinear friction dynamics. Firstly, a novel and effective four-motor synchronization scheme is designed and various groups of synchronization feedback signals are introduced to achieve accurate synchronization performance among motors. Then, the observer is designed to estimate the friction torque. And the controller is developed via command filtered backstepping technique to avoid additional computational complexity, making the control signals suitable for practical application. Finally, the stability of the closed-loop system is analyzed, and the tracking and synchronization performance is verified through designed experiments.
format Article
id doaj-art-cadf3eefeb2843bf8cb4b065ec2134b2
institution OA Journals
issn 2227-7390
language English
publishDate 2024-11-01
publisher MDPI AG
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series Mathematics
spelling doaj-art-cadf3eefeb2843bf8cb4b065ec2134b22025-08-20T01:53:54ZengMDPI AGMathematics2227-73902024-11-011222347510.3390/math12223475Multi-Axis Servo System Control Design Considering Low-Speed Friction DynamicsHuimin Liu0Rui Wang1Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250316, ChinaSchool of Mathematical Sciences, Qufu Normal University, Qufu 273165, ChinaThis paper introduces an extended state observer-based command filtered backstepping control method to improve the tracking accuracy and synchronization performance of multi-motor-driving servo systems under the condition of low-speed nonlinear friction dynamics. Firstly, a novel and effective four-motor synchronization scheme is designed and various groups of synchronization feedback signals are introduced to achieve accurate synchronization performance among motors. Then, the observer is designed to estimate the friction torque. And the controller is developed via command filtered backstepping technique to avoid additional computational complexity, making the control signals suitable for practical application. Finally, the stability of the closed-loop system is analyzed, and the tracking and synchronization performance is verified through designed experiments.https://www.mdpi.com/2227-7390/12/22/3475command filterESO-based backsteppingmulti-motor motion controlnonlinear friction dynamics
spellingShingle Huimin Liu
Rui Wang
Multi-Axis Servo System Control Design Considering Low-Speed Friction Dynamics
Mathematics
command filter
ESO-based backstepping
multi-motor motion control
nonlinear friction dynamics
title Multi-Axis Servo System Control Design Considering Low-Speed Friction Dynamics
title_full Multi-Axis Servo System Control Design Considering Low-Speed Friction Dynamics
title_fullStr Multi-Axis Servo System Control Design Considering Low-Speed Friction Dynamics
title_full_unstemmed Multi-Axis Servo System Control Design Considering Low-Speed Friction Dynamics
title_short Multi-Axis Servo System Control Design Considering Low-Speed Friction Dynamics
title_sort multi axis servo system control design considering low speed friction dynamics
topic command filter
ESO-based backstepping
multi-motor motion control
nonlinear friction dynamics
url https://www.mdpi.com/2227-7390/12/22/3475
work_keys_str_mv AT huiminliu multiaxisservosystemcontroldesignconsideringlowspeedfrictiondynamics
AT ruiwang multiaxisservosystemcontroldesignconsideringlowspeedfrictiondynamics