This study developed a hybrid self-organizing fuzzy and radial basis-function neural-network controller (HSFRBNC) for active suspension systems. The HSFRBNC uses a radial basis function neural-network to adjust the learning rate and the weighting distribution of a self-organizing fuzzy controller (SOFC) in real time, as an alternative to obtain these parameters through trial and error. Therefor...

This paper studies order reduction issues for a vehicle active suspension system throughout its modelling, H-infinity controller design and controller refinement. Computer simulations demonstrate that an H-infinity controller for a full active suspension can be significantly reduced to nearly one third of its full order, while the active suspension performance is only slightly degraded. As a by...

We consider the following experiment. A container is filled with a suspension consisting of particles immersed in an incompressible liquid. An opening is made on the container wall and the suspension flows through the opening. We develop a mathematical model to compute the expected volume of suspension extracted before particles clog the opening. Our studies are relevant to the understanding of...

ABSTRACT: Active control is indispensable to electromagnetic suspension system in order to stabilize the open-loop system. For simplicity, linear control strategy is widely utilized in practical maglev systems. However, electromagnetic suspension system is inherently highly nonlinear, which makes linear control strategies sometimes fail in experiments. To conquer the nonlinearity of the suspens...

This paper presents an optimal vehicle and seat suspension design for a half-car vehicle model to reduce human-body vibration (whole-body vibration). A genetic algorithm is applied to search for the optimal parameters of the seat and vehicle suspension. The desired objective is proposed as the minimization of a multi-objective function formed by the combination of seat suspension working space ...

Gravity compensation suspension systems are essential to support space structures during tests on Earth, but also impose constraints on the structures that have the effect of changing their behavior. A computational and experimental study of the interaction of a rigid panel solar array model with a manually adjustable suspension system during quasi-static deployment tests in the 1-g environment...

The presence of fast and slow modes in vehicle suspension systems, based on a half car model, is utilized in the design of active suspension control using singular perturbation theory. This strategy is based on the slow-fast control design. The suspension system performance is optimised with respect to ride comfort, road holding and suspension rattle space as expressed by the mean-square-values...

The development of Integrated Chassis Control (ICC) systems is a major area of current interest in automotive research. Roughly speaking, research on this topic has been motivated by the desire for increased vehicle safety, increased comfort, and better performance by taking into account and utilising the interactions that exists between the different subsystems of the vehicle. While research o...

The goal of studying the vehicle suspension systems is to reduce the vehicle vibrations which are due to the irregularities of road levels and the fluctuations in the vehicle velocity. These vibrations are transferred to the body and occupants of vehicles through the suspension system. In general, the main function of an active suspension system is to support the vehicle body by reducing the in...