A new parameter identification method for mechanical systems with friction

Author

Kim, Seung Jean ; Ha, In-Joong ; Kang, Joon Hyuk ; Kim, Chang Hwan ; Lim, Sang Gwon

Author_Institution

Sch. of Electr. Eng., Seoul Nat. Univ., South Korea

Volume

1

fYear

1997

fDate

9-14 Nov 1997

Firstpage

322

Abstract

A new parameter identification method for mechanical systems with friction is proposed. The previously known identification algorithms are based on time-domain linear regression models and require the information of acceleration. In contrast, the proposed parameter identification method is based on a kind of frequency-domain linear regression model and can be implemented without the information of acceleration. Moreover, it can identify the mass accurately regardless of the parametrization error of friction

Keywords

control system analysis; frequency-domain analysis; friction; motion control; parameter estimation; statistical analysis; acceleration information integration; frequency-domain linear regression model; friction; friction parametrization error; mechanical systems; motion control systems; parameter identification method; Acceleration; Control systems; Error correction; Friction; Linear regression; Mechanical systems; Motion control; Parameter estimation; Tracking; Weight control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3932-0

Type

conf

DOI

10.1109/IECON.1997.671070

Filename

671070