DocumentCode
663376
Title
“Anti-fatigue” control for over-actuated bionic arm with muscle force constraints
Author
Haiwei Dong ; Yazdkhasti, Setareh ; Figueroa, Nadia ; El Saddik, Abdulmotaleb
Author_Institution
Dept. of Eng., New York Univ. AD, Abu Dhabi, United Arab Emirates
fYear
2013
fDate
3-7 Nov. 2013
Firstpage
335
Lastpage
342
Abstract
In this paper, we propose an “anti-fatigue” control method for bionic actuated systems. Specifically, the proposed method is illustrated on an over-actuated bionic arm. Our control method consists of two steps. In the first step, a set of linear equations is derived by connecting the acceleration description in both joint and muscle space. The pseudo inverse solution to these equations provides an initial optimal muscle force distribution. As a second step, we derive a gradient direction for muscle force redistribution. This allows the muscles to satisfy force constraints and generate an even distribution of forces throughout all the muscles (i.e. towards "anti-fatigue"). The overall proposed method is tested for a bending-stretching movement. We used two models (bionic arm with 6 and 10 muscles) to verify the method. The force distribution analysis verifies the “anti-fatigue” property of the computed muscle force. The efficiency comparison shows that the computational time does not increase significantly with the increase of muscle number. The tracking error statistics of the two models show the validity of the method.
Keywords
bending; biocybernetics; electroactive polymer actuators; statistical analysis; antifatigue control; bending-stretching movement; bionic actuated systems; force distribution analysis; gradient direction; linear equations; muscle force constraints; optimal muscle force distribution; over-actuated bionic arm; pseudo inverse solution; tracking error statistics; Acceleration; Force; Frequency modulation; Joints; Mathematical model; Muscles; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
Conference_Location
Tokyo
ISSN
2153-0858
Type
conf
DOI
10.1109/IROS.2013.6696373
Filename
6696373
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