Research on Intelligent Information Technology with Intelligent Control of Full Aactive Steering Vehicle

2013 ◽  
Vol 473 ◽  
pp. 166-170
Author(s):  
Ling Yang ◽  
Zhi Wei Guan ◽  
Feng Du
Keyword(s):  
Information Technology ◽  
Rear Wheel ◽  
Steering Control ◽  
Response Characteristics ◽  
State Response ◽  
Active Steering ◽  
Intelligent Information ◽  
Vehicle Dynamic Model ◽  
Transient And Steady State ◽  
The Ideal

A new steering control strategy for active four-steering vehicle is studied based on the steering-by-wire and intelligent information technology in this paper. An ideal model-tracked of vehicle steering is established and an optimal active steering controller is designed on the basis of the 2 degree-of-freedom vehicle dynamic model. The simulation result shows that this optimal controller on front-rear wheel steering angle not only improve the transient and steady-state response characteristics of vehicle, but also follow the ideal steering model accurately. Therefore, the maneuverability and stability of vehicle are enhanced consequently.

Vehicle Handling and Stability Enhancement With Active Steering Control Systems

2004 ◽  
Author(s):  
Shih-Ken Chen ◽  
William C. Lin ◽  
Yuen-Kwok Steve Chin ◽  
Xiaodi Kang
Keyword(s):  
Rear Wheel ◽  
Front Wheel ◽  
Pole Placement ◽  
Optimization Approach ◽  
Steering Control ◽  
Response Characteristics ◽  
Active Steering ◽  
Road Surfaces ◽  
Response Optimization ◽  
Stability Enhancement

This paper presents an analysis and comparison of a vehicle with active front steering and rear-wheel steering. Based on linear analysis of base vehicle characteristics under varying speed and road surfaces, desirable vehicle response characteristics are presented and a set of performance matrices for active steering systems is formulated. Using pole-placement approach, controllability issues under active front wheel steering and rear- wheel steering controls are discussed. A frequency response optimization approach is then used to design the closed-loop controllers.

Vehicle Active Rear Wheel Steering Control Based on a Variable Transmission Ratio Control Strategy

2014 ◽  
Vol 709 ◽  
pp. 267-271 ◽  
Author(s):  
Yun Sheng Tan ◽  
Huan Shen ◽  
Man Hong Huang ◽  
Si Ran Zhang
Keyword(s):  
Control Strategy ◽  
Sliding Mode ◽  
Rear Wheel ◽  
Transmission Ratio ◽  
Steering Control ◽  
Yaw Rate ◽  
Human Driver ◽  
Variable Transmission ◽  
Mode Technique ◽  
The Ideal

In order to obtain the ideal steering performance, an active rear wheel steering (ARS) controller, based on the variable transmission ratio control strategy, is developed in this paper. ARS controller using sliding mode technique is designed to follow the desired yaw rate which is calculated by the ideal variable transmission ratio. Simulation result shows that, the proposed control strategy both obtains desired steering performance and provides the obvious benefits for the human driver.

Co-Simulation of Power Steering Control and Vehicle Dynamic Responses

2001 ◽  
Author(s):  
Gene Y. Liao
Keyword(s):  
Dynamic Model ◽  
General Purpose ◽  
Dynamic Responses ◽  
Steering Wheel ◽  
Vehicle Dynamic ◽  
Steering Control ◽  
Integrated Simulation ◽  
Full Vehicle ◽  
Power Steering ◽  
Vehicle Dynamic Model

Abstract Many general-purpose and specialized simulation codes are becoming more flexible which allows analyses to be carried out simultaneously in a coupled manner called co-simulation. Using co-simulation technique, this paper develops an integrated simulation of an Electric Power Steering (EPS) control system with a full vehicle dynamic model. A full vehicle dynamic model interacting with EPS control algorithm is concurrently simulated on a single bump road condition. The effects of EPS on the vehicle dynamic behavior and handling responses resulting from steer and road input are analyzed and compared with proving ground experimental data. The comparisons show reasonable agreement on tie-rod load, rack displacement, steering wheel torque and tire center acceleration. This developed co-simulation capability may be useful for EPS performance evaluation and calibration as well as for vehicle handling performance integration.

scholarly journals Research on vehicle active steering control based on linear matrix inequality and hardware in the loop test scheme design and implement for active steering

2019 ◽  
Vol 11 (11) ◽  
pp. 168781401989210 ◽  
Author(s):  
Guangfei Xu ◽  
Peisong Diao ◽  
Xiangkun He ◽  
Jian Wu ◽  
Guosong Wang ◽  
...  
Keyword(s):  
Linear Matrix Inequality ◽  
Model Uncertainty ◽  
Control Method ◽  
Steering System ◽  
Linear Matrix ◽  
Matrix Inequality ◽  
Steering Control ◽  
Sensor Noise ◽  
Active Steering ◽  
Active Steering Control

In the research process of automotive active steering control, due to the model uncertainty, road surface interference, sensor noise, and other influences, the control accuracy of the active steering system will be reduced, and the driver’s road sense will become worse. The traditional robust controller can solve the model uncertainty, pavement disturbance and sensor noise in the design process, but cannot consider the performance enough. Therefore, this article proposes an active steering control method based on linear matrix inequality. In this method, the model uncertainty, road interference, sensor noise, yaw velocity, and slip side angle tracking errors are all considered as constraint targets, respectively, so that the performance and robust stability of the active front steering system can be guaranteed. Finally, simulation and hardware in the loop experiment are implemented to verify the effect of active front steering system under the linear matrix inequality controller. The results show that the proposed control method can achieve better robust performance and robust stability.

Path-Following Steering Control for Articulated Vehicles

2013 ◽  
Vol 135 (3) ◽  
Author(s):  
B. A. Jujnovich ◽  
D. Cebon
Keyword(s):  
High Speed ◽  
Path Following ◽  
Steering Control ◽  
Active Steering ◽  
High Speeds ◽  
Wide Range ◽  
Articulated Vehicles ◽  
Speed Range ◽  
Heavy Goods Vehicles ◽  
Low Speeds

Passive steering systems have been used for some years to control the steering of trailer axles on articulated vehicles. These normally use a “command steer” control strategy, which is designed to work well in steady-state circles at low speeds, but which generates inappropriate steer angles during transient low-speed maneuvers and at high speeds. In this paper, “active” steering control strategies are developed for articulated heavy goods vehicles. These aim to achieve accurate path following for tractor and trailer, for all paths and all normal vehicle speeds, in the presence of external disturbances. Controllers are designed to implement the path-following strategies at low and high speeds, whilst taking into account the complexities and practicalities of articulated vehicles. At low speeds, the articulation and steer angles on articulated heavy goods vehicles are large and small-angle approximations are not appropriate. Hence, nonlinear controllers based on kinematics are required. But at high-speeds, the dynamic stability of control system is compromised if the kinematics-based controllers remain active. This is because a key state of the system, the side-slip characteristics of the trailer, exhibits a sign-change with increasing speeds. The low and high speed controllers are blended together using a speed-dependent gain, in the intermediate speed range. Simulations are conducted to compare the performance of the new steering controllers with conventional vehicles (with unsteered drive and trailer axles) and with vehicles with command steer controllers on their trailer axles. The simulations show that active steering has the potential to improve significantly the directional performance of articulated vehicles for a wide range of conditions, throughout the speed range.

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