DocumentCode :
1791867
Title :
A patient-specific biological command based controller for the Human-inspired robotic exoskeleton (HuREx): A case study for gait-swing assistance robot
Author :
Ye Ma ; Xie, Sheng Q. ; Yanxin Zhang
Author_Institution :
Dept. of Mech. Eng., Univ. of Auckland, Auckland, New Zealand
fYear :
2014
fDate :
3-6 Aug. 2014
Firstpage :
286
Lastpage :
291
Abstract :
A biological command based controller designed for the Human-inspired robotic exoskeleton (HuREx) was developed and introduced in this paper. This controller is built upon human´s musculoskeletal system which could provide subject-specific parameters for the controller as well as the robot design. There are two layers in the biological command based controller: the outer position controller and the inner force controller which aim to track desired position and force respectively. Desired forces aiming to control the actuators were calculated firstly by the real-time muscle force estimation (RMFE) algorithm using kinematic inputs. Then a model based PID controller was used as the inner force controller to control the pneumatic air muscle actuators directly. The controller was tested by a gait-swing assistance robot. A gait cycle of knee joint was used as desired trajectory for position tracking. The simulation results show that the proposed biological command based controller could track both desired knee angles and desired forces.
Keywords :
force control; gait analysis; medical robotics; mobile robots; patient rehabilitation; pneumatic actuators; position control; three-term control; HuREx; RMFE algorithm; force tracking; gait-swing assistance robot; human musculoskeletal system; human-inspired robotic exoskeleton; inner force controller; kinematic inputs; knee joint gait cycle; model based PID controller; outer position controller; patient-specific biological command based controller; pneumatic air muscle actuator; position tracking; real-time muscle force estimation algorithm; robotic physical rehabilitation; subject-specific parameters; Biological system modeling; Force; Mathematical model; Muscles; Robots; gait rehabilitation; patient-specific biological command based control; real-time muscle force estimation; robotics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4799-3978-7
Type :
conf
DOI :
10.1109/ICMA.2014.6885710
Filename :
6885710
Link To Document :
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