DocumentCode
3423889
Title
A model predictive control approach to attitude stabilization and trajectory tracking control of a 3D universal joint space robot with an initial angular momentum
Author
Kai, Tatsuya
Author_Institution
Fac. of Inf. Sci. & Electr. Eng., Kyushu Univ. JAPAN, Japan
fYear
2011
fDate
12-15 Dec. 2011
Firstpage
3547
Lastpage
3552
Abstract
In this paper, we deal with two types of control problems for a 3D space robot of two rigid bodies with an initial angular momentum. In our previous work, we studied a near-optimal control approach to the state transition control problem for the 3D space robots with initial angular momenta. However, for the approach, we need huge computation amount and other control purposes cannot be treated. In order to overcome these disadvantages, in this paper we apply model predictive control to the attitude stabilization control problem and the trajectory tracking control problem for a 3D universal joint space robot with an initial angular momentum. As a results of simulations, we can see that both attitude stabilization control and trajectory tracking control for the 3D space robot are accomplished by the model predictive control approach. Moreover, it can be also confirmed that this approach considerably reduces computation amount and achieves real-time control of the 3D space robot.
Keywords
aerospace robotics; attitude control; position control; predictive control; stability; 3D universal joint space robot; attitude stabilization control; initial angular momentum; model predictive control approach; realtime control; state transition control problem; trajectory tracking control; Aerospace electronics; Attitude control; Joints; Robot kinematics; Three dimensional displays; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location
Orlando, FL
ISSN
0743-1546
Print_ISBN
978-1-61284-800-6
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2011.6160342
Filename
6160342
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