1,720,989 research outputs found

    Metodo e sistema per il controllo di stabilità di un veicolo a due ruote mediante sospensione elettronicamente modulabile

    No full text
    La presente invenzione riguarda un metodo ed un sistema per il controllo della stabilità di un veicolo a due ruote, quale in particolare una motocicletta, agendo sulle forze erogate dalle sospensioni anteriore e posteriore

    A mixed frequency/time-domain method to evaluate the performance of semi-active steering damper control strategies during challenging maneuvers

    No full text
    This work presents the validation of control strategies for a semi-active steering damper aimed at improving the stability of two-wheeled vehicles by controlling the weave and wobble modes. A mixed frequency/time-domain method is introduced to evaluate the performance of the control strategies. The proposed cost functions allow one to evaluate the influence of the algorithms on the damping of the weave and wobble modes and also the overall performance in terms of stability of the steering assembly and of the chassis. The performance of the control algorithms is assessed on a multibody motorcycle simulator considering three challenging maneuvers that excite both the weave and wobble modes, such as kick-back and strong braking while cornering at high speed

    A comparison between model-based and data-driven design of an active stability control system for two-wheeled vehicles

    No full text
    The design of an active stability control system for twowheeled vehicles is a fully open problem and it constitutes a challenging task due to the complexity of two-wheeled vehicles dynamics and the strong interaction between the vehicle and the driver. This paper describes and compares two different methods, a model-based and a data-driven approach, to tune a Multi- Input-Multi-Output controller which allows to enhance the safety while guaranteeing a good driving feeling. The two strategies are tested on a multibody motorcycle simulator on challenging maneuvers such as kick-back and strong braking while cornering at high speed

    Control-Oriented Modeling of Motorcycle Dynamics

    No full text
    Recent technology advances in the field of ride-by-wire technology for motorcycle (namely active braking and full electronic throttle) open the way to the design of innovative control strategies to improve two-wheeled vehicles stability. As such, it is of growing importance to devise control oriented models of the bike dynamics to be employed for control design purposes. This paper proposes an analytical model of a two-wheeled vehicle tuned to capture the coupling between longitudinal variables (i.e. traction and braking torque) and out-of-plane modes. The model is derived from first principles. The model parameters are identified from a complete multi-body simulator. The proposed model offers a good tradeoff between complexity and accuracy.QC 20131211</p

    Enhancing active safety of two-wheeled vehicles via electronic stability control

    No full text
    In four-wheeled vehicles, electronic stability control (ESC) was introduced in the recent past to improve passengers safety in critical driving conditions and it is now part of most commercial cars. For two-wheeled vehicles, the design of such a control system is an open problem, and it constitutes quite a challenging task due to the complexity of two-wheeled vehicles dynamics and to the strong interaction between the vehicle and the driver. This paper describes an innovative control architecture which allows us to enhance the active safety while guaranteeing a good driving feeling. The proposed solutions are validated on a multibody motorcycle simulator on challenging maneuvers such as kick-back and strong braking while cornering at high speed

    Single-Sensor Control Strategies for Semi-Active Steering Damper Control in Two-Wheeled Vehicles

    No full text
    Recent research has led to the design of effective steering control strategies that employ, as controlled variables, the steering velocity and the yaw rate. The yaw rate can be measured by an inertial platform, which is usually already installed on modern motorcycles for advanced traction and braking control systems. Thus, there is an interest in developing effective steering angle estimators to implement single-sensor control strategies without introducing any additional cost for the semi-active steering damper control system. This paper proposes a robust minimum variance linear time-invariant filter and a linear parametrically varying observer to estimate the steering angle based on yaw rate and vehicle speed measurements, the performance of which is compared both via simulation and experimental data. The closed-loop performance of the single-sensor control strategies is finally evaluated and compared with that obtained with the two-sensor algorithm
    corecore