Authors:
Usama Abou-Zayed
;
Mahmoud Ashry
and
Tim Breikin
Affiliation:
Control Systems Centre, The University of Manchester, United Kingdom
Keyword(s):
System identification, black-box model, recursive least square algorithm, local optimal controller, and multi-mass servo systems.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Information-Based Models for Control
;
Signal Processing, Sensors, Systems Modeling and Control
;
System Identification
Abstract:
The procedure of system identification of multi-mass servo system using different methods is described in this paper. Different black-box models are identified. Previous experimental results show that a model consisting of
three-masses connected by springs and dampers gives an acceptable description of the dynamics of the servo system. However, this work shows that a lower order black-box model, identified using off-line or on-line experiments, gives better fit. The purpose of this contribution is to present experimental identification of a multi-mass servo system using different algorithms.