A control system of a Magneto-Rheological (MR) damper force based on the Internal Model Control (IMC) strategy is proposed. Dynamic models of the MR damper were built exploiting Artificial Neural Networks (ANN). The control system was implemented with a controller based on an inverse ANN model of the MR damper and a forward model as internal nominal model. The feasibility of the control system was compared versus a direct-inverse control scheme. Simulated results demonstrated a practical and feasible solution.
|Number of pages||6|
|Publication status||Published - 26 Mar 2014|
|Event||2009 European Control Conference, ECC 2009 - |
Duration: 26 Mar 2014 → …
|Conference||2009 European Control Conference, ECC 2009|
|Period||26/3/14 → …|
Bibliographical notePublisher Copyright:
© 2009 EUCA.
Copyright 2020 Elsevier B.V., All rights reserved.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering