一种柔性机械臂的振动抑制方法

By constructing excitation trajectories and using data-driven methods to locate vibration sources in flexible robotic arms, and combining dynamic characteristic modeling and compensation, the problem of accurately locating vibration sources in flexible robotic arms was solved, achieving effective vibration suppression and improved system stability.

CN122185301BActive Publication Date: 2026-07-17UNIV OF SCI & TECH OF CHINA

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
UNIV OF SCI & TECH OF CHINA
Filing Date
2026-05-14
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately locate vibration sources and effectively suppress vibrations in flexible robotic arms, especially in multi-degree-of-freedom, strongly coupled systems. Existing methods rely on analytical models and are difficult to adapt to the time-varying characteristics of the system.

Method used

By constructing an excitation trajectory to collect joint response data, using cross-correlation coefficients and time delay analysis to locate the vibration source, and combining flexible joint dynamic characteristic modeling and data-driven compensation, time-varying input shaping is achieved to suppress vibration.

Benefits of technology

It enables rapid and reliable positioning of the main vibration-excited joints in a flexible robotic arm, and significantly reduces residual end-effector vibration by adaptively updating the input shaper, thereby improving operational stability and safety.

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Abstract

本发明公开一种柔性机械臂的振动抑制方法,属机器人振动抑制领域,包括:步骤1,构建第一激励轨迹;步骤2,控制柔性机械臂执行第一激励轨迹,采集各关节的响应数据,通过互相关系数及时延分析定位振动源关节;步骤3,为定位的振动源关节构建第二激励轨迹,控制柔性机械臂执行第二激励轨迹,采集关节的响应数据,基于位型相关物理量建立关节的动态特性映射模型;步骤4,通过数据驱动的参数补偿对该动态特性映射模型中动态特性参数的预测误差进行修正得到修正结果;步骤5,结合步骤3的动态特性映射模型与步骤4的修正结果计算得到输入整形器,对柔性机械臂的原始轨迹进行时变输入整形,生成整形后轨迹。该方法能很好实现机器人的振动抑制。
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