Title :
Identification of robot dynamics with differential and integral models: a comparison
Author :
Prufer, M. ; Schmidt, C. ; Wahl, E.
Author_Institution :
Inst. for Robotics & Comput. Control, Tech. Univ. Braunschweig, Germany
Abstract :
Compares the integral model suggested by Gautier and Khalil (1988, 1989) for identification of robot dynamics with the differential equations of the robot. The advantage of identification by the integral model is, that no measurement of acceleration is required. Although appealing at a first glance, this approach yields problems in conjunction with the necessary least squares algorithm for parameter estimation. The authors even succeed in getting better results by employing the differential equations, without measurement of acceleration. It is shown, how to achieve reasonable good results with low noise by just derivating the position signals. Finally, the authors´ results are illustrated by experiments with a direct driven two link robot
Keywords :
differential equations; dynamics; identification; integral equations; parameter estimation; robots; differential equations; differential models; direct driven two link robot; identification; integral models; necessary least squares algorithm; parameter estimation; position signals; robot dynamics; Acceleration; Accelerometers; Differential equations; Friction; Integral equations; Parameter estimation; Position measurement; Robot control; Robot sensing systems; Service robots;
Conference_Titel :
Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-5330-2
DOI :
10.1109/ROBOT.1994.351272