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International Journal of Automotive Technology

, Volume 20, Issue 1, pp 169–175 | Cite as

Active Roll Preview Control with V2V Communication

  • Seongjin YimEmail author
Article
  • 1 Downloads

Abstract

This paper presents an active roll preview control with vehicle-to-vehicle (V2V) communication. In intelligent transportation system (ITS) environments, several states and measured signals can be transmitted to following rear vehicle through V2V communication device. The preceding vehicle’s lateral acceleration is sent to the following vehicle. A LQ optimal preview controller for application to active roll control(ARC) is designed using the lateral acceleration. To cope with the speed change of vehicles, a position-based sampling on lateral acceleration is adopted. Based on the data, a distance-based interpolation is performed to resample the time-based lateral acceleration for preview control of ARC. To check the performance of the proposed method, simulation is performed with linear and nonlinear vehicle models.

Key words

Active roll control Position-based sampling Distance-based interpolation Preview control V2V communication 

Nomenclature

ay

lateral acceleration (m/s2)

ci

cumulative distances between points

Cϕ

roll damping coefficient (N·m·s/rad)

g

gravitational acceleration constant (= 9.81 m/s2)

hs

height of C.G. from the roll axis (m)

Ix

roll moment of inertial (kg·m2)

J

LQ objective function

J̄

LQ objective function for the augmented system

K

LQR gain

K̄

LQR gain for the augmented system

Kϕ

roll stiffness of 1-DOF roll model (N·m/rad)

ms

vehicle sprung mass (kg)

Mϕ

control roll moment (N·m)

p

Tp/Ts

q

vector of query points for interpolation

qi

query point for interpolation

ηi

weights in LQ cost function

Ts

controller sampling time

Tp

preview interval

νx

longitudinal velocity of a vehicle (m/s)

ξi

maximum allowable value in LQ cost function

ϕ

roll angle (rad)

ϕ

roll rate (rad/s)

Preview

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Copyright information

© The Korean Society of Automotive Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Mechanical and Automotive EngineeringSeoul National University of Science and TechnologySeoulKorea

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