Title :
Identification of Industrial Robot Parameters for Advanced Model-Based Controllers Design
Author :
Bona, Basilio ; Curatella, Aldo
Author_Institution :
Dipartimento di Automatica e Informatica Politecnico di Torino Corso Duca degli Abruzzi 24, 10129 Torino, Italy basilio.bona@polito.it
Abstract :
This paper presents the identification process aimed at estimating the model parameters of a COMAU Smart S2 industrial robot for controller design purposes. The principal challenges are given by the presence of a controller in-the-loop, and the absence of sensors to measure joint accelerations and velocities. A method valid in this context has been applied, and suitable trajectories were generated in order to avoid to excite the unmodelled plant dynamic while allowing to compute analytically the joint velocities and accelerations. This method was then applied to a real 6 degrees of freedom (DoF) industrial robot, estimating and using its parameters to design new improved model-based controllers.
Keywords :
Identification; base parameters estimation; closed-loop identification; robot dynamics; Acceleration; Industrial control; Intelligent robots; Intelligent sensors; Parameter estimation; Robot control; Robot sensing systems; Service robots; Velocity control; Velocity measurement; Identification; base parameters estimation; closed-loop identification; robot dynamics;
Conference_Titel :
Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on
Print_ISBN :
0-7803-8914-X
DOI :
10.1109/ROBOT.2005.1570355