Research on torsional vibration characteristics and resonance mechanism of industrial robot joint transmission system based on electromechanical coupling

Torsional vibration in industrial robot joints inevitably causes electromechanical parameter coupling in the transmission system during routine operation. This coupling triggers complex vibrations within the system, affecting its dynamic properties and stability, making it more difficult to obtain accurate health information about the system. To address these challenges, this study explores the torsional vibration behaviors and resonance mechanisms in the joint transmission systems of industrial robots, with a focus on the electromechanical coupling effects. First, a dynamic model of the joint transmission system with electromechanical coupling and its vibration simulation model is established. The impact of crucial mechanical parameters of the joint structure on both system vibration and the characteristics of its output speed is examined. In addition, a “motor-load” dual-inertia equivalent model of industrial robot joint transmission system considering the reduction ratio is proposed. The resonance equations are constructed, and the resonance mechanism is analyzed. The effects of key mechanical parameters on the joint resonance are fully considered. Additionally, the Kalman filter method is applied to determine the steady-state condition of the joint. The validity of the proposed model is confirmed through experimental data obtained from an industrial robot. The research can provide an important basis for studying industrial robots‘ mechanical torsional vibration characteristics and resonance mechanisms.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2025-06-19
DOI
https://doi.org/10.1177/09544070251343343
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
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article

Research on torsional vibration characteristics and resonance mechanism of industrial robot joint transmission system based on electromechanical coupling

Tao Liu, Jinxiang Hu, Xiaobo Yang, Zhihai Wang et al.
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Gear and Bearing Dynamics Analysis
article

Research on torsional vibration characteristics and resonance mechanism of industrial robot joint transmission system based on electromechanical coupling

Tao Liu, Jinxiang Hu, Xiaobo Yang, Zhihai Wang, Xiaoqin Liu
article en

Abstract

Torsional vibration in industrial robot joints inevitably causes electromechanical parameter coupling in the transmission system during routine operation. This coupling triggers complex vibrations within the system, affecting its dynamic properties and stability, making it more difficult to obtain accurate health information about the system. To address these challenges, this study explores the torsional vibration behaviors and resonance mechanisms in the joint transmission systems of industrial robots, with a focus on the electromechanical coupling effects. First, a dynamic model of the joint transmission system with electromechanical coupling and its vibration simulation model is established. The impact of crucial mechanical parameters of the joint structure on both system vibration and the characteristics of its output speed is examined. In addition, a “motor-load” dual-inertia equivalent model of industrial robot joint transmission system considering the reduction ratio is proposed. The resonance equations are constructed, and the resonance mechanism is analyzed. The effects of key mechanical parameters on the joint resonance are fully considered. Additionally, the Kalman filter method is applied to determine the steady-state condition of the joint. The validity of the proposed model is confirmed through experimental data obtained from an industrial robot. The research can provide an important basis for studying industrial robots‘ mechanical torsional vibration characteristics and resonance mechanisms.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Kunming University of Science and Technology (CN), Kunming University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 86%
Gear and Bearing Dynamics Analysis
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