Research on Active Rehabilitation Training Strategy Based on Dual Variable Admittance of Velocity Field and Intention Angle

LI Liaoyuan; HAN Jianhai; LI Xiangpan; GUO Bingjing; DU Ganqin; WANG Xinjie

doi:10.7652/xjtuxb202307002

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Research on Active Rehabilitation Training Strategy Based on Dual Variable Admittance of Velocity Field and Intention Angle

更新时间：2025-07-09

- Research on Active Rehabilitation Training Strategy Based on Dual Variable Admittance of Velocity Field and Intention Angle
- Vol. 57, Issue 7, Pages: 9-19(2023)
- 作者机构：
  
  1. 河南科技大学机电工程学院,河南,洛阳,471003
  2. 机器人及智能系统河南省重点实验室,河南,洛阳,471003
  3. 机械装备先进制造河南省协同创新中心,河南,洛阳,471003
  4. 河南科技大学第一附属医院,河南,洛阳,471003
  5. 郑州轻工业大学机电工程学院,郑州,450002
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202307002
  CLC： TP242
- Online First：10 July 2023，
  
  Published：2023
- 稿件说明：
移动端阅览
LI Liaoyuan, HAN Jianhai, LI Xiangpan, et al. Research on Active Rehabilitation Training Strategy Based on Dual Variable Admittance of Velocity Field and Intention Angle[J]. 2023, 57(7): 9-19.
DOI：

LI Liaoyuan, HAN Jianhai, LI Xiangpan, et al. Research on Active Rehabilitation Training Strategy Based on Dual Variable Admittance of Velocity Field and Intention Angle[J]. 2023, 57(7): 9-19. DOI： 10.7652/xjtuxb202307002.

摘要

针对主动康复训练中出现训练懈怠、控制器和训练表现表征指标复杂、训练任务不能动态调整的问题

提出基于速度场与意图角的双重变导纳控制策略。在期望轨迹周围设计速度场后基于双曲正切函数将患者主动力映射到导纳参数中

设计变导纳控制器。只有患者施加主动力时

导纳控制才能输出机器人运动的驱动力

迫使患者主动参与。将末端交互力矢量与速度矢量的夹角定义为意图角

利用位于[0

π/2)内意图角出现的时间在单次训练时间中的占比γ表征患者的主动控制能力。训练中

根据上一轮的γ来修改导纳参数的上限值

从而改变训练任务的难易程度。在控制策略下进行了6轮训练

结果表明:提出的主动训练策略能够在患者施加主动力的情况下实现三维轨迹允许误差范围内的无时序跟踪训练; 根据设计的表征指标

导纳参数可以从1 100变为1 200再变到1 100

单轮的训练时间从45.6 s变为31.82 s再变回46.9 s

期间患者输出的主动力总和从892.2 N变为694.4 N再变到1 014 N。训练策略可以根据表征指标来判断患者的主动训练能力并调整训练任务

可用于主动康复训练。

Abstract

This paper proposes a dual variable admittance control strategy based on velocity field and intention angle to address the problems of training slackness

complex controller and training performance indicators

and non-adjustable training task in active rehabilitation training. After a velocity field is constructed around the desired trajectory

the variable admittance controller is designed by mapping the patient's active force to the admittance parameter based on the hyperbolic tangent function. Only when the patient exerts the active force

the admittance control outputs the driving force of the robot movement

forcing the patient to participate actively. The angle between the interaction force vector and velocity vector is defined as the “intention angle”. The proportion γ of the time when the intention angle within [0

π/2)appears in a single training cycle is used to represent the patient's active control ability. The upper bound of the admittance parameter will be modified by γ of the previous cycle to adjust the intension of the training task. Six training cycles were performed under the control strategy and the experimental results show that the proposed active training strategy allows tracked training along three-dimensional trajectory without timing sequence within an allowable error range on the condition that the patient participates actively. According to the indicator γ

the admittance parameter may change from 1 100 to 1 200 and back to 1 100

the training duration of a single cycle may change from 45.6 s to 31.82 s and back to 46.9 s

during which the total active force output of the patient may change from 892.2 N to 694.4 N and back to 1 014 N. It indicates that the training strategy determines the patient's active training ability and adjusts the training task accordingly; therefore it can be adopted for active rehabilitation training.

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references

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