This paper presents a methodological approach for the application of virtual prototyping for the evaluation of the intelligent vehicle active suspension system performance. In this approach, a full passenger car model is developed using ADAMS software. In the modeling approach, not only the suspension components are precisely modeled, but also modeling of all systems like steering systems that ...

A new ideal mechanical one-port network element named the inerter was recently introduced, and shown to be realisable, with the property that the applied force is proportional to the relative acceleration across the element. This paper makes a comparative study of several simple passive suspension struts, each containing at most one damper and inerter as a preliminary investigation into the pot...

This paper presents a novel approach to the design of road adaptive active suspensions via a combination of linear parameter-varying control and nonlinear backstepping techniques. Two levels of adaptation are considered: the lower level control design shapes the nonlinear characteristics of the vehicle suspension as a function road conditions, while the higher level design involves adaptive swi...

This paper presents the responses of the railway vehicle and track components in terms of contact forces and displacements. The considered vehicle model is a five-DOF pitch-plane lumped parameter quarter car model supported on two-dimensional track systems comprising three layers. The car body is linked with the vehicle bogie through secondary suspension springs and damper elements, which is fu...

This paper presents the modeling and simulation of a magnetorheological damper based semiactive suspension using variable structure controllers. Passive suspension systems tend to limit the trade-off between passenger comfort and road handling. But Semiactive suspensions can reduce this trade-off margin and dynamically respond to the damping requirements. Active suspensions provide the best res...

Experimental Validation of a Numerical Controller Using Convex Optimization with Linear Matrix Inequalities on a Quarter-Car Suspension System. (August 2011) Rohit Hari Chintala, B.E., Birla Institute of Technology Chair of Advisory Committee: Dr. Won-jong Kim

To control quarter-car systems, a novel indirect adaptive interval type-2 Fuzzy Neural Network (FNN) controller is developed in this paper to achieve both ride comfort and good handling. By incorporating indirect adaptive interval type-2 FNN control approach and sliding mode control, car suspension system regulation performance can be achieved based on Lyapunov stability criterion. The simulati...