Title :
IMC-based control system on a MR damper
Author :
de J Lozoya-Santos, Jorge ; Morales-Menendez, Ruben ; Ramirez-Mendoza, Ricardo A.
Author_Institution :
Inst. Tecnol. de Monterrey, Monterrey, Mexico
Abstract :
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.
Keywords :
neurocontrollers; shock absorbers; vibration control; IMC-based control system; MR damper; artificial neural networks; direct inverse control scheme; internal model control; inverse ANN model; magnetorheological damper force; Artificial neural networks; Control systems; Current; Damping; Force; Roads; Shock absorbers;
Conference_Titel :
Control Conference (ECC), 2009 European
Conference_Location :
Budapest
Print_ISBN :
978-3-9524173-9-3