Title :
A method for on-line identification of mechanical system including nonlinear friction
Author :
Toyozawa, Yukio ; Sonoda, Naoto ; Harada, Hiroshi ; Kashiwagi, Hiroshi
Author_Institution :
Kyushu Branch Office, FANUC Corp., Kumamoto, Japan
Abstract :
This paper describes a practical method to identify mechanical parameters such as inertia and nonlinear friction. In the proposed method, mechanical system is represented as an inverse transfer function model and a low-pass filtered M-sequence is used as an input signal. The mechanical parameters are estimated by using steepest descent method with a dead band. From the results of numerical simulation and experiment, it is shown that the proposed method is very effective from practical point of view.
Keywords :
friction; gradient methods; inverse problems; m-sequences; inertia; inverse transfer function model; low pass filtered M-sequence; mechanical parameters online identification method; nonlinear friction; steepest descent method; Angular velocity; Friction; Mathematical model; Mechanical systems; Powders; Servomotors; Torque; Identification; M-sequence; Nonlinear friction; Steepest descent method;
Conference_Titel :
Control Conference (ASCC), 2011 8th Asian
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-61284-487-9
Electronic_ISBN :
978-89-956056-4-6