Precision control of a multi-axis robotic arm using sliding mode control with PID control method

With the rapid growth of industrial automation, multi-axis robotic arms have been increasingly used in precision manufacturing. However, vibrations during high-speed motion can significantly affect positioning accuracy and system stability. Traditional PID controllers struggle with nonlinear systems like robotic systems which can lead to significant steady-state errors. This study proposes a new control strategy combining a sliding mode control (SMC) along with a PID control (SMC+PID) to create a new hybrid control approach. Numerical analysis shows that a SMC+PID hybrid control strategy can reduce Z-axis steady-state errors from 0.9848 to 0.1183 and can shorten the time to steady-state by 65 %. Our new hybrid control method has shown to be effective in improving stability and enhancing control accuracy.

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Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1117/12.3051428
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Precision control of a multi-axis robotic arm using sliding mode control with PID control method

Chengzhi Wang, Chih‐Kung Lee, Yu‐Hsiang Hsu
Adaptive Control of Nonlinear Systems
article

Precision control of a multi-axis robotic arm using sliding mode control with PID control method

Chengzhi Wang, Chih‐Kung Lee, Yu‐Hsiang Hsu
article en

Abstract

With the rapid growth of industrial automation, multi-axis robotic arms have been increasingly used in precision manufacturing. However, vibrations during high-speed motion can significantly affect positioning accuracy and system stability. Traditional PID controllers struggle with nonlinear systems like robotic systems which can lead to significant steady-state errors. This study proposes a new control strategy combining a sliding mode control (SMC) along with a PID control (SMC+PID) to create a new hybrid control approach. Numerical analysis shows that a SMC+PID hybrid control strategy can reduce Z-axis steady-state errors from 0.9848 to 0.1183 and can shorten the time to steady-state by 65 %. Our new hybrid control method has shown to be effective in improving stability and enhancing control accuracy.

National Taiwan University (TW)
Affordable and clean energy
Openalex Percentile: Top 90%
Adaptive Control of Nonlinear Systems
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