Title :
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
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;
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
DOI :
10.1109/IECON.1997.671070
