DocumentCode :
2042981
Title :
Adaptive force control for position-controlled robot manipulators
Author :
Xiao Jizhong ; Zeng Xiangqiu ; Huang Yalou ; Lu Guizhang
Author_Institution :
Dept. of Autom. Control, East China Inst. of Technol., Nanjing, China
Volume :
4
fYear :
1993
fDate :
19-21 Oct. 1993
Firstpage :
94
Abstract :
This paper presents an adaptive force control method for robot manipulators based on Popov´s hyperstability criterion. As many researchers have found, one of the difficulties of the control problem is that the stability of the robot force control system is sensitive to the changes of the stiffness of the environment on which the force is exerted. To solve the problem, model reference adaptive control theory is used to identify the environment stiffness, and to determine an adaptive force feedback gain corresponding to the contacted environment. The theoretic analysis and experimental results show that this method can realize a stable force control when the environment stiffness changes to a sufficiently large extent.<>
Keywords :
Popov criterion; adaptive control; feedback; force control; manipulators; model reference adaptive control systems; position control; stability; Popov´s hyperstability criterion; adaptive force control method; adaptive force feedback gain; environment stiffness; model reference adaptive control theory; position-controlled robot manipulators; stability; Adaptive control; Bandwidth; Force control; Gears; Kinematics; Manipulators; Motion control; Programmable control; Robots; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
Type :
conf
DOI :
10.1109/TENCON.1993.320442
Filename :
320442
Link To Document :
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