Abstract

Operation of an articulated vehicle is dependent on an appropriate damping action taking place in its rotary articulation. In order to analyse an impact of the control of the articulation on the motion of the vehicle a model of the vehicle with a controllable hydraulic damping system has been developed. A 90 degree turn and lane change manoeuvres were simulated using LabVIEW software. Modification of the damping parameters of the articulation, according to the velocity and articulation angle of the vehicle, proved to have a significant impact on the vehicle motion stability. Moreover, the sensor layer necessary for the control algorithm as well as the diagnostic system is described.

Highlights

  • Articulated urban buses play an important role in the organisation of public transport

  • At the same time, articulated vehicles are under risk of developing uncontrolled pivoting movements of rear and front sections with respect to one another, especially when the rear axle is driven, which is a popular arrangement for low floor vehicles

  • During simulation of the manoeuvres, movement direction of the vehicle was changed by setting the steer angle of the front axle

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Summary

Introduction

Articulated urban buses play an important role in the organisation of public transport They provide high passenger capacity needed in big and constantly growing cities. Such buses operate in a high traffic and on routes comprising narrow roads and sharp turns. At the same time, articulated vehicles are under risk of developing uncontrolled pivoting movements of rear and front sections with respect to one another, especially when the rear axle is driven, which is a popular arrangement for low floor vehicles Under such conditions of operation the articulation has to provide low damping when driving at low speed and, on the contrary, increase the damping when the bus is heading straight or is changing lane at a high speed. The proposed sensor layer has been enhanced so that it can be used for diagnostic purposes

Method
The vehicle model
The tyre model
The damper model
The control algorithm
Results
Sensor layer
Conclusions
Full Text
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