TY - JOUR

T1 - Dynamics identification of kinematically redundant parallel robots using the direct search method

AU - Do Thanh, Trung

AU - Kotlarski, Jens

AU - Heimann, Bodo

AU - Ortmaier, Tobias

N1 - Funding information: The authors would like to thank the German Research Foundation (DFG — OR 192/2-1 ) for the financial support of the presented work. Furthermore, the first author would like to thank the 322-Program of the Vietnam government and the German Academic Exchange Service (DAAD) for their support.

PY - 2012/9

Y1 - 2012/9

N2 - This paper addresses both modeling and dynamics identification of kinematically redundant parallel robots. Based on the Lagrangian equations of the first kind and using the coordinate partitioning method the dynamic equations of the regarded mechanism are derived analytically in a reduced symbolic form. The set of minimal dynamic parameters is automatically obtained thanks to the Lagrange function and the virtual work. The direct pattern search technique is applied to calculate optimal excitation trajectories to obtain reliable dynamic parameters. The direct pattern search technique is further used to identify the dynamic parameters. The proposed algorithms can be applied on both serial and parallel mechanisms in order to solve the parameter identification problem. Exemplarily, the redundant 3-(P)RRR mechanism of the Institute of Mechatronic Systems is introduced and described in detail. In order to achieve kinematic redundancy, a prismatic actuator is added to the structure allowing one base joint to move linearly. As a result, the mechanism can be able to reconfigure its geometry according to different optimization criteria and strategies. Several experimental results demonstrate the effectiveness and, therefore, the capability of the introduced identification procedure.

AB - This paper addresses both modeling and dynamics identification of kinematically redundant parallel robots. Based on the Lagrangian equations of the first kind and using the coordinate partitioning method the dynamic equations of the regarded mechanism are derived analytically in a reduced symbolic form. The set of minimal dynamic parameters is automatically obtained thanks to the Lagrange function and the virtual work. The direct pattern search technique is applied to calculate optimal excitation trajectories to obtain reliable dynamic parameters. The direct pattern search technique is further used to identify the dynamic parameters. The proposed algorithms can be applied on both serial and parallel mechanisms in order to solve the parameter identification problem. Exemplarily, the redundant 3-(P)RRR mechanism of the Institute of Mechatronic Systems is introduced and described in detail. In order to achieve kinematic redundancy, a prismatic actuator is added to the structure allowing one base joint to move linearly. As a result, the mechanism can be able to reconfigure its geometry according to different optimization criteria and strategies. Several experimental results demonstrate the effectiveness and, therefore, the capability of the introduced identification procedure.

KW - Dynamics identification

KW - Dynamics modeling

KW - Kinematic redundancy

KW - Minimal dynamic parameters

KW - Optimal excitation trajectories

KW - Parallel robots

UR - http://www.scopus.com/inward/record.url?scp=84862577230&partnerID=8YFLogxK

U2 - 10.1016/j.mechmachtheory.2012.03.011

DO - 10.1016/j.mechmachtheory.2012.03.011

M3 - Comment/debate

AN - SCOPUS:84862577230

VL - 55

SP - 104

EP - 121

JO - Mechanism and machine theory

JF - Mechanism and machine theory

SN - 0094-114X

ER -