Authors:
Paolo Lino
and
Bruno Maione
Affiliation:
Politecnico di Bari, Italy
Keyword(s):
Active suspension, Suspension control, Virtual prototyping, Near-optimum control, AMESim
©.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Information-Based Models for Control
;
Intelligent Control Systems and Optimization
;
Mechatronic Systems
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
In this paper, a near-optimum control strategy applied to a full car model equipped with an active suspension system is presented. The control law is based on a reduced order model obtained by means of a modal aggregation method, achieving a compromise between computational effort in deriving the control law and system performances. To assess the controller performances, a virtual prototype of the suspension system is developed by using AMESim, an advanced fluid-mechanic developing tool. The virtual prototype could be assumed as a reliable model of the real system enabling to perform safer and cheaper tests than using the real system. Simulation results show the effectiveness of the approach.