TY - JOUR
T1 - Dynamics Parametrization and Calibration of Flexible-Joint Collaborative Industrial Robot Manipulators
AU - Madsen, Emil
AU - Timm, Simon Aagaard
AU - Ujfalusi, Norbert Andras
AU - Rosenlund, Oluf Skov
AU - Brandt, David
AU - Zhang, Xuping
PY - 2020
Y1 - 2020
N2 - Many collaborative robots use strain-wave-type transmissions due to their desirable characteristics of high torque capacity and low weight. However, their inherent complex and nonlinear behavior introduces significant errors and uncertainties in the robot dynamics calibration, resulting in decreased performance for motion and force control tasks and lead-through programming applications. This paper presents a new method for calibrating the dynamic model of collaborative robots. The method combines the known inverse dynamics identification model with the weighted least squares (IDIM-WLS) method for rigid robot dynamics with complex nonlinear expressions for the rotor-side dynamics to obtain increased calibration accuracy by reducing the modeling errors. The method relies on two angular position measurements per robot joint, one at each side of the strain-wave transmission, to effectively compensate the rotor inertial torques and nonlinear dynamic friction that were identified in our previous works. The calibrated dynamic model is cross-validated and its accuracy is compared to a model with parameters obtained from a CAD model. Relative improvements are in the range of 16.5 % to 28.5 % depending on the trajectory.
AB - Many collaborative robots use strain-wave-type transmissions due to their desirable characteristics of high torque capacity and low weight. However, their inherent complex and nonlinear behavior introduces significant errors and uncertainties in the robot dynamics calibration, resulting in decreased performance for motion and force control tasks and lead-through programming applications. This paper presents a new method for calibrating the dynamic model of collaborative robots. The method combines the known inverse dynamics identification model with the weighted least squares (IDIM-WLS) method for rigid robot dynamics with complex nonlinear expressions for the rotor-side dynamics to obtain increased calibration accuracy by reducing the modeling errors. The method relies on two angular position measurements per robot joint, one at each side of the strain-wave transmission, to effectively compensate the rotor inertial torques and nonlinear dynamic friction that were identified in our previous works. The calibrated dynamic model is cross-validated and its accuracy is compared to a model with parameters obtained from a CAD model. Relative improvements are in the range of 16.5 % to 28.5 % depending on the trajectory.
UR - http://www.scopus.com/inward/record.url?scp=85092191677&partnerID=8YFLogxK
U2 - 10.1155/2020/8709870
DO - 10.1155/2020/8709870
M3 - Journal article
SN - 1024-123X
VL - 2020
JO - Mathematical Problems in Engineering
JF - Mathematical Problems in Engineering
M1 - 8709870
ER -