Article ID Journal Published Year Pages File Type
565604 Mechanical Systems and Signal Processing 2013 24 Pages PDF
Abstract

This paper investigates the modelling, parameter identification and control of an unidirectional hydraulically actuated seismic isolator test rig. The plant is characterized by non-linearities such as the valve dead zone and frictions. A non-linear model is derived and then employed for parameter identification. The results concerning the model validation are illustrated and they fully confirm the effectiveness of the proposed model.The testing procedure of the isolation systems is based on the definition of a target displacement time history of the sliding table and, consequently, the precision of the table positioning is of primary importance. In order to minimize the test rig tracking error, a suitable control system has to be adopted. The system non-linearities highly limit the performances of the classical linear control and a non-linear one is therefore adopted. The test rig mathematical model is employed for a non-linear control design that minimizes the error between the target table position and the current one. The controller synthesis is made by taking no specimen into account. The proposed approach consists of a non-linear optimal control based on the state-dependent Riccati equation (SDRE). Numerical simulations have been performed in order to evaluate the soundness of the designed control with and without the specimen under test. The results confirm that the performances of the proposed non-linear controller are not invalidated because of the presence of the specimen.

► A non-linear model of a hydraulically actuated seismic isolator test rig is derived. ► The non-linear model is employed in parameter identification procedure. ► The model validation results confirm the effectiveness of the proposed model. ► A non-linear control, based on the state-dependent Riccati equation, is designed. ► The control provides good results in terms of tracking error and robustness.

Related Topics
Physical Sciences and Engineering Computer Science Signal Processing
Authors
, , , ,