Research on assist-as-needed control strategy of wrist function-rehabilitation robot.
10.7507/1001-5515.201902023
- Author:
Jiajin WANG
1
,
2
;
Guokun ZUO
2
;
Jiaji ZHANG
2
;
Changcheng SHI
2
;
Tao SONG
2
;
Shuai GUO
3
Author Information
1. Department of Mechanical Automation Engineering, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, P.R.China
2. Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Science, Ningbo, Zhejiang 315201, P.R.China.
3. Department of Mechanical Automation Engineering, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, P.R.China.
- Publication Type:Journal Article
- Keywords:
assist-as-needed;
impedance control;
minimum jerk trajectory;
robot;
wrist function-rehabilitation
- From:
Journal of Biomedical Engineering
2020;37(1):129-135
- CountryChina
- Language:Chinese
-
Abstract:
In order to stimulate the patients' active participation in the process of robot-assisted rehabilitation training of stroke patients, the rehabilitation robots should provide assistant torque to patients according to their rehabilitation needs. This paper proposed an assist-as-needed control strategy for wrist rehabilitation robots. Firstly, the ability evaluation rules were formulated and the patient's ability was evaluated according to the rules. Then the controller was designed. Based on the evaluation results, the controller can calculate the assistant torque needed by the patient to complete the rehabilitation training task and send commands to motor. Finally, the motor is controlled to output the commanded value, which assists the patient to complete the rehabilitation training task. The control strategy was implemented to the wrist function rehabilitation robot, which could achieve the training effect of assist-as-needed and could avoid the surge of assistance torque. In addition, therapists can adjust multiple parameters in the ability evaluation rules online to customize the difficulty of tasks for patients with different rehabilitation status. The method proposed in this paper does not rely on the information from force sensor, which reduces development costs and is easy to implement.
