Title :
Nonlinear system identification of hydraulic actuator. Friction dynamics using a Hammerstein model
Author :
Kwak, Byung-Jae ; Yagle, Andrew E. ; Levitt, Joel A.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
We present two Hammerstein-type models for parametric system identification of the lip seal friction process in a hydraulic actuator. Adaptive algorithms with least squares criteria are derived, and the performances of the two models are evaluated using experimental results
Keywords :
actuators; adaptive systems; friction; hydraulic systems; least mean squares methods; nonlinear systems; parameter estimation; seals (stoppers); Hammerstein model; LMS adaptive algorithm; experimental results; friction dynamics; hydraulic actuator; least squares criteria; lip seal friction process; nonlinear system identification; parametric system identification; performance; Adaptive algorithm; Friction; Hydraulic actuators; Least squares methods; Lubricants; Nonlinear dynamical systems; Nonlinear systems; Seals; Shafts; Signal processing;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.681441
