DocumentCode :
1338656
Title :
An optimal control approach to robust control of robot manipulators
Author :
Lin, Feng ; Brandt, Robert D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
Volume :
14
Issue :
1
fYear :
1998
fDate :
2/1/1998 12:00:00 AM
Firstpage :
69
Lastpage :
77
Abstract :
We present a new optimal control approach to robust control of robot manipulators in the framework of Lin (1997). Due to the unknown load placed on a manipulator and the other uncertainties in the manipulator dynamics, it is important to design a robust control law that will guarantee the performance of the manipulator under these uncertainties. To solve this robust control problem, we first translate the robust control problem into an optimal control problem, where the uncertainties are reflected in the performance index. We then use the optimal control approach to solve the robust control problem. We show that the solution to the optimal control problem is indeed a solution to the robust control problem. We illustrate this approach using a two-joint SCARA type robot, whose robust control is obtained by solving an algebraic Riccati equation
Keywords :
Riccati equations; manipulator dynamics; optimal control; performance index; robust control; uncertain systems; SCARA type robot; algebraic Riccati equation; dynamics; optimal control; performance index; robot manipulators; robust control; uncertainties; Electric variables control; Friction; Manipulator dynamics; Optimal control; Performance analysis; Riccati equations; Robot control; Robust control; Systems engineering and theory; Uncertainty;
fLanguage :
English
Journal_Title :
Robotics and Automation, IEEE Transactions on
Publisher :
ieee
ISSN :
1042-296X
Type :
jour
DOI :
10.1109/70.660845
Filename :
660845
Link To Document :
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