Patter instability of racing motorcycles in straight braking manoeuvre

Cattabriga, Stefano; Felice, Alessandro De; Sorrentino, Silvio

doi:10.1080/00423114.2019.1663389

Cited by 8 publications

(6 citation statements)

References 9 publications

(27 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These are capable of simulating the behavior of two-wheeled vehicles with high fidelity, being able to reproduce instabilities under operating conditions based on data recorded during field operations on the actual vehicles. For instance, the reproduction through numerical simulation of the chattering behavior [22,23], the shimmy mode [4,12], or the wheel patter instability [24] showed a high degree of correlation between the numerical and the experimental results, thereby demonstrating the considerable level of maturity reached by the research on this topic.…”

Section: Background Information and Research Significancementioning

confidence: 96%

See 1 more Smart Citation

A Multibody System Approach for the Systematic Development of a Closed-Chain Kinematic Model for Two-Wheeled Vehicles

2021

View full text Add to dashboard Cite

In this investigation, a closed-chain kinematic model for two-wheeled vehicles is devised. The kinematic model developed in this work is general and, therefore, it is suitable for describing the complex geometry of the motion of both bicycles and motorcycles. Since the proposed kinematic model is systematically developed in the paper by employing a sound multibody system approach, which is grounded on the use of a straightforward closed-chain kinematic description, it allows for readily evaluating the effectiveness of two alternative methods to formulate the wheel-road contact constraints. The methods employed for this purpose are a technique based on the geometry of the vector cross-product and a strategy based on a simple surface parameterization of the front wheel. To this end, considering a kinematically driven vehicle system, a comparative analysis is performed to analyze the geometry of the contact between the front wheel of the vehicle and the ground, which represents a fundamental problem in the study of the motion of two-wheeled vehicles in general. Subsequently, an exhaustive and extensive numerical analysis, based on the systematic multibody approach mentioned before, is carried out in this work to study the system kinematics in detail. Furthermore, the orientation of the front assembly, which includes the frontal fork, the handlebars, and the front wheel in a seamless subsystem, is implicitly formulated through the definition of three successive rotations, and this approach is used to propose an explicit formulation of its inherent set of Euler angles. In general, the numerical results developed in the present work compare favorably with those found in the literature about vehicle kinematics and contact geometry.

show abstract

Section: Background Information and Research Significancementioning

confidence: 96%

“…where the subscript s in the vector term r 4,s indicates that the surface parametrization approach was used. Subsequently, the vector tangent to the wheel at the point of contact is obtained by partially differentiating Equation (24) with respect to the non-generalized angular displacement β. This vector has the form…”

Section: Surface Parametrization Modelmentioning

confidence: 99%

A Multibody System Approach for the Systematic Development of a Closed-Chain Kinematic Model for Two-Wheeled Vehicles

2021

View full text Add to dashboard Cite

show abstract

“…The way motorcycle drivers use brakes in emergency situations affects motorcycle response and differentiates deceleration magnitude. For this purpose, several experimental tests have been conducted by different researchers, using professional or ordinary drivers, different sport or sport-touring motorcycle models and different braking conditions (using front, rear or both brakes) [24,[29][30][31][32][33][34][35][36]. Relevant experiments on low-power motorcycles (100-150 cc) were conducted in [26], as well as in wet road conditions where decelerations are lower [25].…”

Section: Urgent Braking In Real Conditionsmentioning

confidence: 99%

Design and Structural Analysis of a Front Single-Sided Swingarm for an Electric Three-Wheel Motorcycle

2020

View full text Add to dashboard Cite

This study focuses on the structural analysis of the front single-sided swingarm of a new three-wheel electric motorcycle, recently designed to meet the challenges of the vehicle electrification era. The primary target is to develop a swingarm capable of withstanding the forces applied during motorcycle’s operation and, at the same time, to be as lightweight as possible. Different scenarios of force loadings are considered and emphasis is given to braking forces in emergency braking conditions where higher loads are applied to the front wheels of the vehicle. A dedicated Computer Aided Engineering (CAE) software is used for the structural evaluation of different swingarm designs, through a series of finite element analysis simulations. A topology optimization procedure is also implemented to assist the redesign effort and reduce the weight of the final design. Simulation results in the worst-case loading conditions, indicate strongly that the proposed structure is effective and promising for actual prototyping. A direct comparison of results for the initial and final swingarm design revealed that a 23.2% weight reduction was achieved.

show abstract

“…For example, accelerations sensed by accelerometers [13] and voltages or more precisely speaking current derivatives sensed by inductors are directly measured state derivative related signals in many applications. Especially, velocities and accelerations which can be modelled as state derivative vector are easily available from measurements in vehicle dynamic systems [14][15][16][17][18] and piezoelectric smart structure systems [4]. For those applications, we should not insist to apply state related feedback in control designs because additional numerical integrations or integrators are needed in implementation that result in complex and expensive controllers.…”

Section: Introductionmentioning

confidence: 99%

Inverse Optimal Control in State Derivative Space System with Applications in Motor Control

Lee

Tseng

et al. 2021

Energies

View full text Add to dashboard Cite

This paper mathematically explains how state derivative space (SDS) system form with state derivative related feedback can supplement standard state space system with state related feedback in control designs. Practically, inverse optimal control is attractive because it can construct a stable closed-loop system while optimal control may not have exact solution. Unlike the previous algorithms which mainly applied state feedback, in this paper inverse optimal control are carried out utilizing state derivative alone in SDS system. The effectiveness of proposed algorithms are verified by design examples of DC motor tracking control without tachometer and very challenging control problem of singular system with impulse mode. Feedback of direct measurement of state derivatives without integrations can simplify implementation and reduce cost. In addition, the proposed design methods in SDS system with state derivative feedback are analogous to those in state space system with state feedback. Furthermore, with state derivative feedback control in SDS system, wider range of problems such as singular system control can be handled effectively. These are main advantages of carrying out control designs in SDS system.

show abstract

Patter instability of racing motorcycles in straight braking manoeuvre

Cited by 8 publications

References 9 publications

A Multibody System Approach for the Systematic Development of a Closed-Chain Kinematic Model for Two-Wheeled Vehicles

A Multibody System Approach for the Systematic Development of a Closed-Chain Kinematic Model for Two-Wheeled Vehicles

Design and Structural Analysis of a Front Single-Sided Swingarm for an Electric Three-Wheel Motorcycle

Inverse Optimal Control in State Derivative Space System with Applications in Motor Control

Contact Info

Product

Resources

About