Inertial parameter identification using contact force information for an unknown object captured by a space manipulator

2017 ◽  
Vol 131 ◽  
pp. 69-82 ◽  
Author(s):  
Zhongyi Chu ◽  
Ye Ma ◽  
Yueyang Hou ◽  
Fengwen Wang
Keyword(s):  
Parameter Identification ◽  
Contact Force ◽  
Space Manipulator ◽  
Inertial Parameter ◽  
Unknown Object

Dynamic Parameter Identification of Unknown Object Handled by Space Manipulator

2014 ◽  
Vol 487 ◽  
pp. 276-281 ◽  
Author(s):  
Gang Chen ◽  
Zhi Lian Chen ◽  
Qing Xuan Jia ◽  
Han Xu Sun
Keyword(s):  
Parameter Identification ◽  
Dynamic Characteristic ◽  
Dynamic Parameter ◽  
Momentum Conservation ◽  
Dynamic Parameters ◽  
Robot System ◽  
Space Manipulator ◽  
Experimental Process ◽  
Dynamic Parameter Identification ◽  
Unknown Object

This paper presents a dynamic parameter identification method of the unknown object handled by manipulator. Since the load will change the dynamic characteristic of space robot system, it is necessary to identify the dynamic parameters of the handled object. The dynamic parameters of the handled object are identified based on principle of momentum conservation in this paper. The principle and experimental process of the identification is introduced and the feasibility of the method is verified by simulation.

scholarly journals Payload Parameter Identification of a Flexible Space Manipulator System via Complex Eigenvalue Estimation

2020 ◽  
Vol 2020 ◽  
pp. 1-17 ◽  
Author(s):  
Zhiyu Ni ◽  
Shunan Wu ◽  
Yewei Zhang ◽  
Zhigang Wu
Keyword(s):  
Parameter Identification ◽  
Least Squares ◽  
State Space Model ◽  
Recursive Least Squares ◽  
Mode Shapes ◽  
Identification Algorithm ◽  
Complex Eigenvalue ◽  
Nonlinear Dynamic Model ◽  
Space Manipulator ◽  
Affine Projection

Manipulator systems are widely used in payload capture and movement in the ground/space operation due to their dexterous manipulation capability. In this study, a method for identifying the payload parameters of a flexible space manipulator using the estimated system of complex eigenvalue matrix is proposed. The original nonlinear dynamic model of the manipulator is linearized at a selected working point. Subsequently, the system state-space model and corresponding complex eigenvalue parameters are determined by the observer/Kalman filter identification algorithm using the torque input signal of the motor and the vibration output signals of the link. Therefore, the inertia parameters of the payload, that is, the mass and the moment of inertia, can be derived from the identified complex eigenvalue system and mode shapes by solving a least-squares problem. In numerical simulations, the proposed parameter identification method is implemented and compared with the classical recursive least-squares and affine projection sign algorithms. Numerical results demonstrate that the proposed method can effectively estimate the payload parameters with satisfactory accuracy.

Parameter Identification of a Grasp by a Planar Two-Fingered Robot Hand

1993 ◽  
Vol 5 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Nobuharu Mimura ◽  
◽  
Yasuyuki Funahashi ◽  
Keyword(s):  
Parameter Identification ◽  
Robot Hand ◽  
Joint Angles ◽  
Unknown Parameters ◽  
Numerical Example ◽  
Contact Points ◽  
Unknown Object

Unknown forced and unknown contact points for the case in which a planar two-fingered robot hand achieves a stable grasp on an unknown object are identified in this paper. It is shown that the unknown parameters of the grasping system can be identified by detection of joint angles and torques while the object is manipulated slightly. Finally, it is illustrated by a numerical example that the algorithm of the grasp parameter identification is valid.

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