Dynamics of a high-performance motorcycle by an advanced multibody/control co-simulation

Abstract

The present work aims at the development of an advanced control system implemented through Adams/View-Matlab/ Simulink co-simulation for a high-performance motorcycle dynamics study. In particular, the purpose of this study is to create a model able to consider several aspects of the rider-motorbike dynamic simulation and its control system, generally treated separately in the literature, making also use of an original and accurate modelling of the rider. From a previous multi-body model of motorcycle/virtual rider, developed by the authors, a flexible tool is created to simulate system dynamics to follow any trajectory at a prescribed velocity profile. Considering high-performance motorcycle dynamics are greatly influenced by the rider's weight, his movements have been accurately replicated to obtain the most realistic results. To simulate the passive impedance of rider's arms, a torque was applied to the steering as per the literature. The aerodynamic force was modelled as a function of kinematics variables and rider's posture. The control system is very flexible and adaptable to different manoeuvres realistically reproducing engine and braking performance, steering torque and rider movements. Numerical results show that the control system can accurately direct the motorcycle/rider system along an entire lap of the Monza circuit, following a desired path at a given velocity profile. The model developed allows a complete view of the motorbike-rider dynamic behaviour thus being useful during both design phase and setup , with a considerable saving in terms of both cost and time; it can also evaluate the influence on the system dynamics of riders with different anatomical characteristics and driving styles.

Design of a Large Deployable Reflector Opening System

“…At this point, several simulations of the deployment phase have been carried out to find the spring stiffness and damping coefficient of the dampers, imposing an opening time of the mechanism of about 30 s as a constraint. The integration method and the values of the parameters used for the simulation have been adapted for the specific case of contacts as suggested in References [23][24][25][26]. The selection of the stiffnesses of the torsion springs was influenced by the maximum torsion angle, which must be greater than 177 • , and by the diameter of the pin (8 mm) on which the spring is to be positioned.…”

Tie-System Calibration for the Experimental Setup of Large Deployable Reflectors

“…Several experimental methodologies [17][18][19][20] based on a multi-body approach have been developed [21][22][23][24][25][26][27][28][29]. Recently, methods based on fuzzy logic [30][31][32][33][34], neural networks [35], and genetic algorithms have been applied for the tensioning of space trusses [36,37].…”

Tie-System Calibration for the Experimental Setup of Large Deployable Reflectors

“…Several experimental methodologies [17][18][19][20] based on multibody approach have been developed [21][22][23][24][25][26][27][28][29]. Recently, methods based on the Fuzzy logic [30][31][32][33][34], neural networks [35] and genetic algorithm have been applied for the tensioning of space trusses [36,37].…”