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An accurate knowledge of the tire effective rolling radius is fundamental for many vehicle dynamics applications relying on an estimate of the vehicle speed, like ABS, stability and traction control. It may also serve as a tool to detect tire deflation and improve the safety on-board. Many algorithms for rolling radius estimation have been presented in the literature, but most of them cannot be applied...
This paper deals with the load levelling control of a tractor cabin equipped with an hydro-pneumatic suspension, controlled with on-off actuators. A model-based approach for the controller design is proposed. A dynamic physical model of the hydro-pneumatic suspension is developed and identified through a grey-box approach and a linear continuous controller is then designed, where actuation delays...
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...
This paper presents applicative results about fault detection and control for semi-active suspension system. The control is extended from the “Acceleration Driven Damping” (ADD) controller combined with a robust fault detection scheme in order to estimate the fault. The approach, based on a quarter of vehicle model includes the nonlinearities of the shock absorber. The robust fault estimation module...
The precise variation of the magnetorheological (MR) damping force in a semi-active suspension is a key issue in order to assure the desired performances over a suspension control system. The open loop control of this force is a very common strategy. Other schemes propose adaptive controller alternatives while the automotive hardware is a constrained computation resource. This paper proposes the implementation...
An approach to find out the training inputs for identification of a Magneto-Rheological (MR) damper is proposed. Reduction of overuse of the damper, number of experiments and configurations of training inputs are main features of this approach. Experimental validation with a commercial MR damper was carried out.Main results show inputs configuration with modulated frequency at fixed amplitude displacement,...
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