A multi‐purpose seismic test rig control via a sliding mode approach
Author(s) -
Strano Salvatore,
Terzo Mario
Publication year - 2014
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.1641
Subject(s) - nonlinear system , engineering , control theory (sociology) , stability (learning theory) , a priori and a posteriori , structural engineering , mode (computer interface) , control engineering , control (management) , computer science , philosophy , physics , epistemology , quantum mechanics , artificial intelligence , operating system , machine learning
SUMMARY The paper describes an experimental and theoretical research activity based on a versatile seismic test rig employed to characterize seismic isolators or structures. The system is hydraulically actuated and exhibits a high nonlinear behaviour because of the presence of the dead band and frictions. The double functionality of the test rig is based on two possible configurations concerning the hydraulic actuation system, which cause an induced variability in the parameters; moreover, the seismic isolators and the test structures are characterized by properties that are a priori unknown. Because of the several operating conditions, the test rig is affected by structured and unstructured uncertainties that require a robust approach for the control of the position. Starting from a nonlinear dynamic model, a sliding control is derived taking into account the dead band and a large variability of the hydraulic and geometric parameters. The simulations and the experimental results confirm the effectiveness, in terms of stability and tracking error, of the proposed control for the different configurations of the plant. Copyright © 2014 John Wiley & Sons, Ltd.
Discover
Journals
Proceedings
Books
Explore
Engineering & Computer Science
Health & Medical Sciences
Humanities, Literature & Arts
Life Sciences & Earth Sciences
Physics & Mathematics
Social Sciences
Chemical & Material Sciences
Business, Economics & Management