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This paper deals with a new approach to analyse the influence of suspension on dynamic behaviour of vehicle and to synthesise the force-displacement transmittance of suspension. From a half-car model with four degrees of freedom, it is shown how the design of suspension, which is a vibration isolation problem, can be transformed into a synthesis of a robust control law of a multivariable uncertain...
This paper considers the problem of vehicle suspension control from the perspective of a Vehicle-to-Cloud-to-Vehicle (V2C2V) distributed implementation. A simplified variant of the problem is examined based on the linear quarter-car model of semi-active suspension dynamics. Road disturbance is modeled as a combination of a known road profile, an unmeasured stochastic road profile and potholes. Suspension...
This paper studies the effect of Body Rolling of Skid-Steering Wheeled Vehicle on Steering Characteristics. Based on the 2 DOF dynamic model of skid-steering wheeled vehicle, this paper taking account of body rolling and establishes the 3 DOF dynamic model of skid-steering wheeled vehicle constructed by lateral velocity, yaw angular velocity and roll angle. With an analysis of body rolling and wheel...
Compared to the active damping control, semi-active control is a more preferred alternative for practical use. Many different semi-active control methods have been developed, among which Skyhook (SH), Acceleration-Driven-Damper (ADD) and Model Predictive Control (MPC) have received lots of attentions. In order to improve the existing semi-active control methods in terms of performance and cost, a...
In this paper, multi-objective control of a half-car suspension system is formulated as a mixed H2/H∞ synthesis problem and this convex problem is solved using linear matrix inequalities. Then, the control design problem is re-formulated as a non-convex and non-smooth optimization problem with fixed order controllers and solved by using the recently developed HIFOO toolbox. Parametric studies show...
This paper presents a new control strategy of Electric Power Assisted Steering (EPAS) systems to ensure several control objectives. First, a reference model is employed to generate ideal motor angle that can guarantee the control objectives, assist torque generation, fast response to driver's torque command, vibration attenuation, supplying road information to the driver, improving steering wheel...
The nonlinear vehicle-road coupled system is modeled as a seven DOF vehicle moving along a simply supported double-layer rectangular thin plate on a nonlinear viscoelastic foundation. The vehicle suspension stiffness, suspension damping and tire stiffness are described by the nonlinear model. The material of the upper pavement surface is modeled as the nonlinear viscoelastic Leaderman constitutive...
In this paper, multi-objective control of a quarter-car suspension system subjected to random road disturbances is studied. The active suspension problem is formulated as a mixed H2/H∞ synthesis problem and solved using linear matrix inequalities. It is first demonstrated that the influence of tire damping on the closed-loop performance can be significant. Then, this result is extended to suspension...
The problem considered in this paper is the design of a control system for semi-active suspension fully oriented to the handling objective. For better understanding the handling behavior of a suspension, the paper proposes a model of interaction between the suspension dynamics and the tire-road forces. On this basis an analysis focused on the evaluation metrics for handling performances is presented...
A three-dimensional vehicle-road interference system was established in this work. A moving vehicle was simplified to a quarter-vehicle model. An infinite plate on Kelvin foundation was employed to model the pavement system. Through integral transform, the time-dependent displacement and stress of the pavement are obtained by linking together the characteristics of a road profile and a moving vehicle...
A method for identification of adjustable shock absorbers is presented which combines a modern QRRLS parameter estimation algorithm (DSFI) with an artificial neural network (ANN) for classification purposes. The parameter estimation algorithm is based on a discrete-time linear model. Thus, no state variable filter (SVF) as for continuous time identification problems is required. For the ANN, a multilayer...
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