DocumentCode :
2950708
Title :
Improving dynamic performance of bi-articularly actuated robot arms by using infinity norm based actuation redundancy resolution
Author :
Salvucci, Valerio ; Koseki, Takafumi
Author_Institution :
Dept. of Electr. Eng. & Inf. Syst., Univ. of Tokyo, Tokyo, Japan
fYear :
2013
fDate :
9-12 July 2013
Firstpage :
926
Lastpage :
931
Abstract :
Bi-articular actuators, actuators spanning two joints, are gaining popularity for solving the known limitations of conventional robot arms. Actuator redundancy resulting from the presence of bi-articular actuators increases stability, transfers mechanical energy from proximal to distal joints, and decreases the non-linearity of the end effector force as a function of force direction. In this paper, advantages of infinity norm optimization criteria for actuator redundancy resolution of bi-articularly actuated robot arms is investigated under dynamic conditions. The infinity norm approach with closed form solution is compared with the pseudo inverse matrix based methods by simulation means. When using the infinity norm based approach, under the same robot arm dynamics, the required maximum joint actuator is reduced; and under the same joint actuator limitations the achievable maximum end effector acceleration is increased.
Keywords :
actuators; optimisation; robot dynamics; actuator redundancy; actuator redundancy resolution; bi-articular actuators; bi-articularly actuated robot arms; closed form solution; distal joints; dynamic conditions; dynamic performance; end effector acceleration; end effector force; force direction; infinity norm based actuation redundancy resolution; infinity norm optimization criteria; joint actuator limitations; nonlinearity; pseudo inverse matrix based methods; robot arm dynamics; Acceleration; Actuators; End effectors; Joints; Redundancy; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
Conference_Location :
Wollongong, NSW
ISSN :
2159-6247
Print_ISBN :
978-1-4673-5319-9
Type :
conf
DOI :
10.1109/AIM.2013.6584212
Filename :
6584212
Link To Document :
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