Research on Vibration Suppression Method Based on Double Loop Position Feedback Control
Yunfei Qu, Changhua Xu, Xin Zhang, Zhen Li, Hong Wang

TL;DR
This paper introduces a new control method that reduces vibrations in robotic joints, improving stability and accuracy in engineering applications.
Contribution
A novel double-loop position feedback control method combining LESO and speed feedforward is proposed for vibration suppression in robotic systems.
Findings
The method reduces speed fluctuations by 84.4% and eliminates steady-state position tracking errors.
Experimental results confirm significant attenuation of load speed vibration in practical applications.
The strategy balances semi-closed-loop stability with full-closed-loop accuracy for collaborative robot joints.
Abstract
What are the main findings? This study proposes a vibration suppression method combining double-loop position feedback control with a linear extended state observer (LESO) and speed feedforward.Simulation results demonstrate that the method effectively suppresses mechanical resonance (reducing speed fluctuations by 84.4%) and eliminates steady-state position tracking errors.Experimental verification on a collaborative joint platform further confirms that the proposed strategy significantly attenuates load speed vibration and validates its feasibility in practical engineering applications. This study proposes a vibration suppression method combining double-loop position feedback control with a linear extended state observer (LESO) and speed feedforward. Simulation results demonstrate that the method effectively suppresses mechanical resonance (reducing speed fluctuations by 84.4%) and…
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Taxonomy
TopicsControl Systems in Engineering · Iterative Learning Control Systems · Vibration Control and Rheological Fluids
