Title :
Adaptive control for a torque controlled free-floating space robot with kinematic and dynamic model uncertainty
Author :
Abiko, Satoko ; Hirzinger, Gerd
Author_Institution :
Dept. of Aerosp. Eng., Tohoku Univ., Sendai, Japan
Abstract :
This paper proposes an adaptive controller for a fully free-floating space robot with kinematic and dynamic model uncertainty. In adaptive control design for the space robot, because of high dynamical coupling between an actively operated arm and a passively moving end-point, two inherent difficulties exist, such as non-linear parameterization of the dynamic equation and both kinematic and dynamic parameter uncertainties in the coordinate mapping from Cartesian space to joint space. The proposed method in this study overcomes the above two issues by paying attention to the coupling dynamics. The proposed adaptive controller does not involve any measurement of acceleration; but it is still possible for the system to be linearly parameterized in terms of uncertain parameters and a suitable input torque can be generated in the presence of model uncertainty. A numerical simulation was carried out to confirm the validity of the proposed adaptive control.
Keywords :
adaptive control; aerospace control; aerospace robotics; control system synthesis; manipulator dynamics; manipulator kinematics; torque control; uncertain systems; Cartesian space; adaptive control design; adaptive controller; coordinate mapping; coupling dynamics; dynamic equation; dynamic model uncertainty; dynamical coupling; kinematic model uncertainty; nonlinear parameterization; torque controlled free-floating space robot; Adaptive control; Nonlinear dynamical systems; Nonlinear equations; Orbital robotics; Programmable control; Robot control; Robot kinematics; Torque control; Uncertain systems; Uncertainty; Adaptive Control; Free-Floating Space Robot; Inverted Chain Approach; Model Uncertainty;
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
DOI :
10.1109/IROS.2009.5354601