Control System Design for an Upper-Limb Rehabilitation Robot

Control system implementation is one of the major difficulties in rehabilitation robot design. The purpose of our study is to present newly developed control strategies for an upper-limb rehabilitation robot. The Barrett WAM Arm manipulator is used as the main hardware platform for the functional re...

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Vydané v:Advanced robotics Ročník 25; číslo 1-2; s. 229 - 251
Hlavní autori: Xu, Guozheng, Song, Aiguo, Li, Huijun
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Taylor & Francis Group 01.01.2011
Predmet:
Active control
Adaptive control systems
FUZZY LOGIC
IMPEDANCE CONTROL
Limbs
PARAMETER IDENTIFICATION
POSITION CONTROL
Recovery
REHABILITATION ROBOT
Rehabilitation robots
Robots
Strategy
Training
ISSN:0169-1864, 1568-5535
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Shrnutí:Control system implementation is one of the major difficulties in rehabilitation robot design. The purpose of our study is to present newly developed control strategies for an upper-limb rehabilitation robot. The Barrett WAM Arm manipulator is used as the main hardware platform for the functional recovery training of the past-stroke patient. Passive and active recovery training have been implemented on the WAM Arm. A fuzzy-based PD position control strategy is proposed for the passive recovery exercise to control the WAM Arm stably and smoothly to stretch the impaired limb to move along predefined trajectories. An adaptive impedance force controller is employed in the active motion mode in which a fuzzy logic regulator is used to adjust the desired impedance between the robot and impaired limb to generate adaptive force in agreement with the change of the impaired limb's muscle strength. In order to evaluate the change of the impaired limb's muscle power, the impaired limb's mechanical impedance parameters as an objective evaluation index is estimated online by using a recursive least-squares algorithm with an adaptive forgetting factor. Experimental results demonstrate the effectiveness and potential of the proposed control strategies.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0169-1864
1568-5535
DOI:10.1163/016918610X538561