TY - GEN
T1 - Decoupling identification for serial two-link robot arm with elastic joints
AU - Oaki, Junji
AU - Adachi, Shuichi
PY - 2009
Y1 - 2009
N2 - The objective of our study is to build a precise model by applying the technique of system identification for the model-based control of a nonlinear robot arm, taking joint-elasticity into consideration. This paper proposes a systematic identification method, called "decoupling identification", for a serial two-link robot arm with elastic joints caused by the Harmonic drive ® reduction gears. The proposed method serves as an extension of the conventional rigid-jointmodel-based identification. The robot arm is treated as a serial two-link two-inertia system with nonlinearity. The decoupling identification method using link-accelerometer signals enables the serial two-link two-inertia system to be divided into two linear one-link two-inertia systems. The MATLAB®'s commands for state-space model estimation are utilized in the proposed method. Physical parameters such as motor inertias, link inertias, joint-friction coefficients and joint-spring coefficients are estimated through the identified one-link two-inertia systems. Experimental results using a SCARA-type planar two-link robot arm with elastic reduction gears showed an accuracy of the proposed identification method.
AB - The objective of our study is to build a precise model by applying the technique of system identification for the model-based control of a nonlinear robot arm, taking joint-elasticity into consideration. This paper proposes a systematic identification method, called "decoupling identification", for a serial two-link robot arm with elastic joints caused by the Harmonic drive ® reduction gears. The proposed method serves as an extension of the conventional rigid-jointmodel-based identification. The robot arm is treated as a serial two-link two-inertia system with nonlinearity. The decoupling identification method using link-accelerometer signals enables the serial two-link two-inertia system to be divided into two linear one-link two-inertia systems. The MATLAB®'s commands for state-space model estimation are utilized in the proposed method. Physical parameters such as motor inertias, link inertias, joint-friction coefficients and joint-spring coefficients are estimated through the identified one-link two-inertia systems. Experimental results using a SCARA-type planar two-link robot arm with elastic reduction gears showed an accuracy of the proposed identification method.
KW - Closed-loop identification
KW - Frequency response
KW - MATLAB
KW - Mechanical resonance
KW - Multivariable systems
KW - Nonlinear optimization
KW - Nonlinear systems
KW - Robot arms
UR - http://www.scopus.com/inward/record.url?scp=80051628473&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80051628473&partnerID=8YFLogxK
U2 - 10.3182/20090706-3-FR-2004.0344
DO - 10.3182/20090706-3-FR-2004.0344
M3 - Conference contribution
AN - SCOPUS:80051628473
SN - 9783902661470
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 1417
EP - 1422
BT - 15th Symposium on System Identification, SYSID 2009 - Preprints
T2 - 15th IFAC Symposium on System Identification, SYSID 2009
Y2 - 6 July 2009 through 8 July 2009
ER -