DocumentCode :
569702
Title :
Identification of underactuated manipulator based on genetic algorithm
Author :
Xu, Wuxiao ; Liu, Jinkun
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ. (BUAA), Beijing, China
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
653
Lastpage :
656
Abstract :
This paper deals with the identification of an underactuated manipulator-Pendubot. The method of genetic algorithm can be applied for inertial parameters identification of the underactuated manipulator system after transformations. It is shown that the method is able to directly identify inertial parameters effectively. This method is more effective, when the end of the second link of the manipulator takes an unknown load. Simulations for underactuated manipulator-Pendubot system are presented.
Keywords :
genetic algorithms; identification; manipulators; Pendubot; genetic algorithm; inertial parameters identification; underactuated manipulator; Genetic algorithms; Joints; Manipulator dynamics; Parameter estimation; Pollution measurement; Pendubot; genetic algorithm; parameters identification; underactuated manipulator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-0312-5
Type :
conf
DOI :
10.1109/INDIN.2012.6301233
Filename :
6301233
Link To Document :
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