Active front-steering control of a sport utility vehicle using a robust linear quadratic regulator method, with emphasis on the roll dynamics

Author(s):  
Naser Elmi ◽  
Abdolreza Ohadi ◽  
Behzad Samadi
Author(s):  
Deling Chen ◽  
Chengliang Yin ◽  
Li Chen

This paper presents the vehicle stability improvement by active front steering (AFS) control. Firstly, a mathematical model of the steering system incorporating vehicle dynamics is analyzed based on the structure of the AFS system. Then feedback controller with linear quadratic regulator (LQR) optimization is proposed. In the controller, the assisted motor in the system is controlled by the combination of feedforward method and feedback method. And the feedback parameter is the yaw rate together with the sideslip angle. Due to the difficulties associated with the sideslip angle measurement of vehicle, a state observer is designed to provide real time estimation to meet the demands of feedback. In the last, the system is simulated in MATLAB. The results show that the vehicle handling stability is improved with the AFS control, and the effectiveness of the control system is demonstrated.


2009 ◽  
Vol 16-19 ◽  
pp. 876-880
Author(s):  
Si Qi Zhang ◽  
Tian Xia Zhang ◽  
Shu Wen Zhou

The paper presents a vehicle dynamics control strategy devoted to prevent vehicles from spinning and drifting out. With vehicle dynamics control system, counter braking are applied at individual wheels as needed to generate an additional yaw moment until steering control and vehicle stability were regained. The Linear Quadratic Regulator (LQR) theory was designed to produce demanded yaw moment according to the error between the measured yaw rate and desired yaw rate. The results indicate the proposed system can significantly improve vehicle stability for active safety.


Author(s):  
Krishna Rangavajhula ◽  
H.-S. Jacob Tsao

A key source of safety and infrastructure issues for operations of longer combination vehicles (LCVs) is off-tracking, which has been used to refer to the general phenomenon that the rear wheels of a truck do not follow the track of the front wheels and wander off the travel lane. In this paper, we examine the effectiveness of command-steering in reducing off-tracking during a 90-degree turn at low and high speeds in an articulated system with a tractor and three full trailers. In command steering, rear front axles of the trailers are steered proportionately to the articulation angle between the tractor and trailing units. We then consider several control strategies to minimize off-tracking and rearward amplification of this system. A minimum rearward amplification ratio (RWA), as a surrogate for minimum off tracking, has been used as the control criterion for medium to high speeds to arrive at an optimal Linear Quadratic Regulator (LQR) controller. As for low speeds, the maximum radial offset between the tractor and trailer 3 is minimized in the design of the controller. Robustness of the optimal controller with respect to tyre-parameter perturbations is then examined. Based on the simulation results, we find that, active command steering is very effective in reducing off tracking at low- as well as high-speed 90-degree turns. To achieve acceptable levels of RWA and off tracking, at least two of the three trailers must be actively command-steered. Among the three two-trailer-steering possibilities, actively steering trailers 1 and 2 is most cost-effective and results in the lowest RWA for medium- to high- speeds (at which RWA is important), and off-tracking is practically eliminated for all speed regimes considered.


Author(s):  
Yan Wu ◽  
Lifang Wang ◽  
Junzhi Zhang ◽  
Fang Li

Due to the complicated driving conditions, the influence of the external disturbance and the system uncertainty, the traditional active front-steering control methods which are based on the exact mathematical model cannot meet the control requirements. This article presents a new active front-steering control strategy which is based on active disturbance rejection control for vehicle yaw stability control. The proposed controller can dynamically estimate and compensate the total disturbance, which enables it to provide good control performance in a range of conditions without the need for a sophisticated vehicle model. In this article, the implementation of the active disturbance rejection control–based yaw stability controller is introduced in detail, and the convergence of the extended state observer and the stability of the whole controller are theoretically proved. In order to verify the effectiveness of the proposed control strategy, a co-simulation environment is used to carry out real-time simulations on typical driving conditions to verify the performances of the proposed controller. The simulation results show that the proposed controller can effectively improve the yaw stability of the vehicle and has strong robustness.


Author(s):  
Andrew J. Pick ◽  
David J. Cole

A mathematical driver model is introduced in order to explain the driver steering behavior observed during successive double lane-change maneuvers. The model consists of a linear quadratic regulator path-following controller coupled to a neuromuscular system (NMS). The NMS generates the steering wheel angle demanded by the path-following controller. The model demonstrates that reflex action and muscle cocontraction improve the steer angle control and thus increase the path-following accuracy. Muscle cocontraction does not have the destabilizing effect of reflex action, but there is an energy cost. A cost function is used to calculate optimum values of cocontraction that are similar to those observed in the experiments. The observed reduction in cocontraction with experience of the vehicle is explained by the driver learning to predict the steering torque feedback. The observed robustness of the path-following control to unexpected changes in steering torque feedback arises from the reflex action and cocontraction stiffness of the NMS. The findings contribute to the understanding of driver-vehicle dynamic interaction. Further work is planned to improve the model; the aim is to enable the optimum design of steering feedback early in the vehicle development process.


2005 ◽  
Author(s):  
Yoshitaka Fujita ◽  
Yoshiaki Tsuchiya ◽  
Masato Suzumura ◽  
Takahiro Kojo

2004 ◽  
Author(s):  
W. A. H. Oraby ◽  
S. M. El-Demerdash ◽  
A. M. Selim ◽  
A. Faizz ◽  
D. A. Crolla

2011 ◽  
Vol 2-3 ◽  
pp. 390-395
Author(s):  
Minoru Sasaki ◽  
Hidenobu Tanaka ◽  
Satoshi Ito

This paper describes a development of an autonomous two-wheeled vehicle robot. The model of the two-wheeled vehicle using steering control is derived. The control systems are designed by linear quadratic regulator and linear quadratic integral method. Stabilization is achieved by measuring roll angle and roll rate and controlling the steering torque. The experimental results and simulation results show stable running control of the two-wheeled vehicle robot and coincident with each other. The approach is validated through these results.


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