scholarly journals Driver Steering Control and Full Vehicle Dynamics Study Based on a Nonlinear Three-Directional Coupled Heavy-Duty Vehicle Model

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
S. H. Li ◽  
J. Y. Ren
Keyword(s):  
Vehicle Dynamics ◽  
Closed Loop ◽  
Driver Model ◽  
Lane Change ◽  
Heavy Duty ◽  
Closed Loop System ◽  
Vehicle Model ◽  
Full Vehicle ◽  
Heavy Duty Vehicle ◽  
Lane Keeping

Under complicated driving situations, such as cornering brake, lane change, or barrier avoidance, the vertical, lateral, and longitudinal dynamics of a vehicle are coupled and interacted obviously. This work aims to propose the suitable vehicle and driver models for researching full vehicle dynamics in complicated conditions. A nonlinear three-directional coupled lumped parameters (TCLP) model of a heavy-duty vehicle considering the nonlinearity of suspension damping and tire stiffness is built firstly. Then a modified preview driver model with nonlinear time delay is proposed and connected to the TCLP model to form a driver-vehicle closed-loop system. The presented driver-vehicle closed-loop system is evaluated during a double-lane change and compared with test data, traditional handling stability vehicle model, linear full vehicle model, and other driver models. The results show that the new driver model has better lane keeping performances than the other two driver models. In addition, the effects of driver model parameters on lane keeping performances, handling stability, ride comfort, and roll stability are discussed. The models and results of this paper are useful to enhance understanding the effects of driver behaviour on full vehicle dynamics.

Verification of 14DOF Full Vehicle Model Based on Steering Wheel Input

2012 ◽  
Vol 165 ◽  
pp. 109-113 ◽  
Author(s):  
Z.A. Kadir ◽  
K. Hudha ◽  
F. Ahmad ◽  
Mohamad Faizal Abdullah ◽  
A.R. Norwazan ◽  
...  
Keyword(s):  
Vehicle Dynamics ◽  
Model Verification ◽  
Steering Wheel ◽  
Lane Change ◽  
Vehicle Model ◽  
Acceptable Error ◽  
Full Vehicle ◽  
Model Based ◽  
Double Lane Change ◽  
Lane Change Test

This paper presents a 14DOF full vehicle model which consists of ride, handling and tire subsystems to study vehicle dynamics behavior. The full vehicle model is then verified with well-known vehicle dynamics software namely CarSimEd based on the driver input from the steering wheel. Three types of vehicle dynamics test are performed for the purpose of model verification namely step steer test, double lane change test and slalom test. The results of model verification show that the behaviors of the model closely follow the behaviors obtained from CarSimEd software with acceptable error.

Investigation on three-directional dynamic interaction between a heavy-duty vehicle and a curved bridge

2017 ◽  
Vol 21 (5) ◽  
pp. 721-738 ◽  
Author(s):  
Shaohua Li ◽  
Jianying Ren
Keyword(s):  
Interaction Model ◽  
Element Model ◽  
Driver Model ◽  
Impact Factors ◽  
Lateral Impact ◽  
Heavy Duty ◽  
Vehicle Model ◽  
Curved Bridge ◽  
Bridge Model ◽  
The Impact

Considering the nonlinear property of suspension damping and tire stiffness, a full-vehicle model is built for a heavy-duty truck. A modified preview driver model with nonlinear time delay is inserted into the vehicle model to compute the suitable steering angle of the front wheel and to make the vehicle follow the required route. Next, the finite element model of a five-span continuous curved highway bridge is established, and the bridge’s inherent frequencies and modes are obtained. The curved bridge and the vehicle are coupled by three-directional tire forces, and a three-directional driver–vehicle–bridge interaction model is presented. The presented vehicle model and bridge model are verified by comparing with the published works. The dynamic impact factors of vertical, lateral, and torsional displacements of the bridge are calculated when a vehicle is traversing through the bridge, and the impact factors’ distributions along the bridge are analyzed. The effects of vehicle driving conditions on impact factors are also researched. It is found that the impact factor calculated from the present specification for a straight bridge is smaller than that from the three-directional driver–vehicle–bridge interaction model, and the vertical and torsional impact effects at the third span midpoint are greater than the lateral impact effect.

Driver Model Based on Controller with Open and Close Loop

2014 ◽  
Vol 889-890 ◽  
pp. 958-961
Author(s):  
Huan Ming Chen
Keyword(s):  
Closed Loop ◽  
Driver Model ◽  
Lateral Acceleration ◽  
Vehicle Model ◽  
Vehicle Handling ◽  
Loop Control ◽  
Driving Experience ◽  
Loop Feedback ◽  
Closed Loop Feedback ◽  
Target Path

It is very important to simulate driver's manipulation for people - car - road closed loop simulation system. In this paper, the driver model is divided into two parts, linear vehicle model is used to simulate the driver's driving experience, and closed-loop feedback is used to characterize the driver's emergency feedback. The lateral acceleration of vehicle is used as feedback in closed loop control. Simulation results show that the smaller lateral acceleration requires the less closed-loop feedback control. The driver model can accurately track the target path, which can be used to simulate the manipulation of the driver. The driver model can be used for people - car - road closed loop simulation to evaluate vehicle handling stability.

An Optimal Preview Acceleration Driver Model with a Correction Factor for Vehicle Directional Control

2013 ◽  
Vol 437 ◽  
pp. 623-628 ◽  
Author(s):  
Hsin Guan ◽  
Li Zeng Zhang ◽  
Xin Jia
Keyword(s):  
Correction Factor ◽  
Closed Loop ◽  
Reference Model ◽  
Driver Model ◽  
Closed Loop System ◽  
Moving Vehicle ◽  
Directional Control ◽  
Modeling Errors ◽  
Acceleration Model ◽  
Model Reference Adaptive

Parameters of the optimal preview acceleration driver model for vehicle directional control are determined by drivers delay/lag time and parameters of the reference model of the controlled vehicle. A moving vehicle is a time-varying and nonlinear system, so it is difficult to obtain accurate parameters of the reference model. If large modeling errors of the reference model occur, the classic driver model cannot ensure the driver/vehicle closed-loop system have a satisfactory performance. In this paper, an improved optimal preview acceleration model with a correction factor was proposed, which is based on sensitivity analysis and MRAC (the model reference adaptive control). Simulation results show that the improved driver model has more satisfactory adaptability and robustness comparing with the classic driver model.

Modeling of Track-Wheel-Terrain Interaction for Dynamic Simulation of Tracked Vehicles: Numerical Implementation and Further Results

2001 ◽  
Author(s):  
Zheng-Dong Ma ◽  
N. C. Perkins
Keyword(s):  
Finite Element Method ◽  
Vehicle Dynamics ◽  
Solution Algorithm ◽  
Adaptive Finite Element Method ◽  
Rough Terrain ◽  
Adaptive Finite Element ◽  
Numerical Implementation ◽  
Vehicle Model ◽  
Tracked Vehicles ◽  
Full Vehicle

Abstract This paper extends the methods and results of a previous paper (Ma and Perkins, 1999) on simulating track-wheel-terrain interaction for tracked vehicle dynamics. A new solution algorithm is described that includes an adaptive finite element method for remeshing the track model during simulation. Doing so produces a track model that more accurately describes the mechanics of a track as the vehicle negotiates rough terrain. The model and solution algorithm are illustrated using a full vehicle model of an M1A1 tank.

Heavy-Duty Vehicle Dynamics Modeling and Rollover Warning Simulation

2021 ◽  
Author(s):  
Hongyan Zhang ◽  
Haotian Hu ◽  
Mingxi Zhang ◽  
Song Du ◽  
Qi Cui ◽  
...  
Keyword(s):  
Vehicle Dynamics ◽  
Heavy Duty ◽  
Dynamics Modeling ◽  
Heavy Duty Vehicle ◽  
Vehicle Dynamics Modeling ◽  
Rollover Warning
Sign in / Sign up

Export Citation Format

Share Document