一种髋关节外骨骼机器人的实时控制方法及系统

By processing sensor data in real time through a hip joint exoskeleton robot, the hip joint assist torque can be accurately calculated, solving the problem that existing rehabilitation equipment cannot provide personalized training. This achieves efficient and personalized rehabilitation results and control precision, and is suitable for hip joint-assisted rehabilitation training and walking assistance.

CN120056128BActive Publication Date: 2026-07-17BEIJING INST OF TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING INST OF TECH
Filing Date
2025-04-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing rehabilitation equipment cannot provide personalized rehabilitation training, cannot meet the diverse needs of patients, and is highly dependent on medical resources. Existing lower limb rehabilitation robots have shortcomings in motor awareness recognition and human-computer engineering design, and cannot fully realize their potential.

Method used

The hip exoskeleton robot uses real-time processing of sensor input data to accurately calculate the auxiliary torque of the hip joint. Combined with gait phase classification and phase estimation, it achieves precise control of the hip joint. It includes a physiological detection module, a data processing module, a gait classification module, a phase estimation module, and a torque calculation module to control the actuator of the hip exoskeleton robot.

Benefits of technology

It improves the control precision and real-time performance of hip joint exoskeleton robots, effectively assisting patients in rehabilitation training, improving gait, reducing user burden, and providing personalized rehabilitation support. It is suitable for various rehabilitation training and walking assistance scenarios that require hip joint assistance.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种髋关节外骨骼机器人及其实时控制方法、控制系统,属于外骨骼机器人技术领域,包括数据预处理,用传感器读取髋关节的角度信号及角速度信号,计算髋关节角度差值和角速度差值,根据预处理后的数据,将步态过程分为不同的阶段,根据分类结果和预处理后的数据,估计足部相位数据,根据估计的足部相位数据和辅助参数,实时计算髋关节的辅助力矩,根据力矩计算模块计算的辅助力矩,控制髋关节外骨骼机器人的执行机构;本发明采用上述的一种髋关节外骨骼机器人及其实时控制方法、控制系统,通过实时处理传感器输入的数据,精确计算髋关节的辅助力矩,从而提高髋关节外骨骼机器人的控制精度和实时性,适用于康复训练和步行辅助。
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