Utilising the Potential of Individual Wheel Control on a 6x6 Off-Road Vehicle

Author(s):  
Andrew Jackson ◽  
Michael Brown ◽  
David Crolla ◽  
Adrian Woodhouse ◽  
Michael Parsons

Abstract This paper will present a form of mobility control for a 6x6 Hybrid Electric Vehicle (HEV). The vehicle concerned is a series configured HEV utilising Hub Mounted Electric Drives (HMED) at each of the six wheel stations to provide Individual Wheel Control (IWC). Whereas a conventional vehicle needs individual brake actuators or bulky differentials to vary individual wheel torques, IWC can be realised in this hybrid configuration through software control of each HMED, making it potentially more accurate, responsive and flexible than a mechanically implemented version. Direct Yaw-moment Control (DYC) is a method of regulating individual wheel torque to control vehicle yaw motion, providing greater stability in cornering. By varying the torque applied to the left and right wheels, tyre forces can be controlled to produce a desired yaw moment. Not only can this be used to aid cornering, but also to reject disturbances, such as side winds, in straight line running. When combined with a Traction Control System (TCS), optimisation of these tyre forces are considered, ensuring that the vehicle handling characteristics remain stable while acceleration performance is improved. When integrating these two systems, consideration is given to the torque demands of each controller. This co-ordinated control ensures that the vehicle takes full advantage of the torque capabilities associated with the electric motor to provide improved vehicle handling, acceleration and stability. The proposed control algorithms are implemented in MATLAB/SIMULINK on a basic non-linear vehicle handling model utilising a Dugoff tyre model to determine longitudinal and lateral tyre forces. The torque of each individual wheel is controlled to maintain a desired yaw rate and/or wheel slip. The model is then simulated on a number of road surfaces, undertaking a variety of test manoeuvres to assess the potential improvements that the combined controller can offer over a vehicle with fixed-torque distribution. The paper shows how the resultant controller offers a robust method of improving vehicle mobility, providing good stability under varying conditions.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xianyi Xie ◽  
Lisheng Jin ◽  
Guo Baicang ◽  
Jian Shi

Purpose This study aims to propose an improved linear quadratic regulator (LQR) based on the adjusting weight coefficient, which is used to improve the performance of the vehicle direct yaw moment control (DYC) system. Design/methodology/approach After analyzing the responses of the side-slip angle and the yaw rate of the vehicle when driving under different road adhesion coefficients, the genetic algorithm and fuzzy logic theory were applied to design the parameter regulator for an improved LQR. This parameter regulator works according to the changes in the road adhesion coefficient between the tires and the road. Hardware-in-the-loop (HiL) tests with double-lane changes under low and high road surface adhesion coefficients were carried out. Findings The HiL test results demonstrate the proposed controllers’ effectiveness and reasonableness and satisfy the real-time requirement. The effectiveness of the proposed controller was also proven using the vehicle-handling stability objective evaluation method. Originality/value The objective evaluation results reveal better performance using the improved LQR DYC controller than a front wheel steering vehicle, especially in reducing driver fatigue, improving vehicle-handling stability and enhancing driving safety.


2011 ◽  
Vol 2 (1) ◽  
pp. 66-74
Author(s):  
J. Kis ◽  
L. Jánosi

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.


Author(s):  
Avesta Goodarzi ◽  
Ebrahim Esmailzadeh ◽  
G. R. Vossoughi

Abstract A new control law for direct yaw moment control of an electric vehicle is developed. Although this study is considered as part of a global control system for the traction control of a four motorized wheel electric vehicle, but the results of this study is quite general and can be applied to other types of vehicles. The dynamic model of the system has been analyzed and, in accordance with the optimal control theory, an optimal controller is designed. Two different versions of the control law have been considered and the performance of each version has been separately studied and compared with each other. Finally, the numerical simulation of the vehicle-handling model with and without the use of the optimal yaw moment controller has been carried out. Results obtained indicate that considerable improvement in the vehicle handling has been achieved when the optimal yaw moment controller is engaged.


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