Active Control of Vehicle Handling Dynamics

2018 ◽  
pp. 205-246
Author(s):  
Tim Gordon
Keyword(s):  
Active Control ◽  
Vehicle Handling

Improved handling characteristics of off-road vehicles by applying active control of steering wheel torque

2011 ◽  
Vol 2 (1) ◽  
pp. 66-74
Author(s):  
J. Kis ◽  
L. Jánosi
Keyword(s):  
Active Control ◽  
Research Work ◽  
Rear Wheel ◽  
Steering Wheel ◽  
Road Vehicles ◽  
Vehicle Handling ◽  
Handling Characteristics ◽  
Driving Speed ◽  
Wheel Torque ◽  
High Center

Driving speed of agricultural mobile machines have been increased in the recent years, raisingserious questions about vehicle handling characteristics considering the high center-of-gravity, multi-massconfiguration and rear-wheel-steering of these vehicles. The next generation of steering systems on offroad vehicles will incorporate a steering column mechatronic subsystem which will generate tactilefeedback for operator. This paper presents our research work to utilize steering wheel torque to improveoff-road vehicle handling characteristics.

Performance Evaluation of Linear Oscillatory Actuator for Active Control Engine Mount

2012 ◽  
Vol 132 (12) ◽  
pp. 1091-1096 ◽  
Author(s):  
Fumiya Kitayama ◽  
Katsuhiro Hirata ◽  
Yasuyoshi Asai
Keyword(s):  
Performance Evaluation ◽  
Active Control ◽  
Engine Mount

A Double Interaction Brush Model for Snow Conditions

2019 ◽  
Vol 47 (2) ◽  
pp. 118-140
Author(s):  
Artem Kusachov ◽  
Fredrik Bruzelius ◽  
Mattias Hjort ◽  
Bengt J. H. Jacobson
Keyword(s):  
Low Complexity ◽  
Large Set ◽  
Tire Model ◽  
Vehicle Handling ◽  
Real Time Applications ◽  
Snow Conditions ◽  
Double Interaction ◽  
Tire Models ◽  
Force Characteristics ◽  
Model Approach

ABSTRACT Commonly used tire models for vehicle-handling simulations are derived from the assumption of a flat and solid surface. Snow surfaces are nonsolid and may move under the tire. This results in inaccurate tire models and simulation results that are too far from the true phenomena. This article describes a physically motivated tire model that takes the effect of snow shearing into account. The brush tire model approach is used to describe an additional interaction between the packed snow in tire tread pattern voids with the snow road surface. Fewer parameters and low complexity make it suitable for real-time applications. The presented model is compared with test track tire measurements from a large set of different tires. Results suggest higher accuracy compared with conventional tire models. Moreover, the model is also proven to be capable of correctly predicting the self-aligning torque given the force characteristics.

Sign in / Sign up

Export Citation Format

Share Document