An advanced vehicle control method using independent four-wheel-steering system

2002 ◽  
Author(s):  
I. Kageyama ◽  
H.-Y. Jo
Keyword(s):  
Control Method ◽  
Steering System ◽  
Vehicle Control

Integrated Control of Active Suspension System and Active Front Steering System Using Hierarchical Control Method

2009 ◽  
Author(s):  
Weihua Zhang ◽  
Wuwei Chen ◽  
Hansong Xiao ◽  
Hui Zhu
Keyword(s):  
Control Method ◽  
Lower Layer ◽  
Integrated Control ◽  
Hierarchical Control ◽  
Active Suspension ◽  
Steering System ◽  
Vehicle Control ◽  
Suspension System ◽  
Active Front Steering ◽  
And Control

Integrated vehicle control has been an important research topic in the area of vehicle dynamics and control in recent years. The aim of integrated vehicle control is to improve the overall vehicle performance including handling, stability and comfort through creating synergies in the use of sensor information, hardware, and control strategies. This paper proposes a two-layer hierarchical control architecture for integrated control of active suspension system (ASS) and active front steering system (AFS). The upper layer controller is designed to coordinate the interactions between the ASS and the AFS. While in the lower layer, the two controllers including the ASS and the AFS, are developed independently to achieve their local control objectives. Simulation results show that the proposed hierarchical control system is able to improve both the ride comfort and the lateral stability compared to the non-integrated control approach.

scholarly journals Modular Approach for Odometry Localization Method for Vehicles with Increased Maneuverability

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 79
Author(s):  
Chenlei Han ◽  
Michael Frey ◽  
Frank Gauterin
Keyword(s):  
Steering System ◽  
Vehicle Control ◽  
Modular Approach ◽  
Route Guidance ◽  
State Variables ◽  
Simulation Environment ◽  
Localization Method ◽  
State Estimators ◽  
Position And Orientation ◽  
Guidance Information

Localization and navigation not only serve to provide positioning and route guidance information for users, but also are important inputs for vehicle control. This paper investigates the possibility of using odometry to estimate the position and orientation of a vehicle with a wheel individual steering system in omnidirectional parking maneuvers. Vehicle models and sensors have been identified for this application. Several odometry versions are designed using a modular approach, which was developed in this paper to help users to design state estimators. Different odometry versions have been implemented and validated both in the simulation environment and in real driving tests. The evaluated results show that the versions using more models and using state variables in models provide both more accurate and more robust estimation.

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.

scholarly journals Automatic Parking Path Planning and Tracking Control Research for Intelligent Vehicles

2020 ◽  
Vol 10 (24) ◽  
pp. 9100
Author(s):  
Chenxu Li ◽  
Haobin Jiang ◽  
Shidian Ma ◽  
Shaokang Jiang ◽  
Yue Li
Keyword(s):  
Path Planning ◽  
Tracking Control ◽  
Control Method ◽  
Sliding Mode ◽  
Vehicle Control ◽  
Path Tracking ◽  
Intelligent Vehicles ◽  
Parking System ◽  
Automatic Parking ◽  
Real Vehicle

As a key technology for intelligent vehicles, automatic parking is becoming increasingly popular in the area of research. Automatic parking technology is available for safe and quick parking operations without a driver, and improving the driving comfort while greatly reducing the probability of parking accidents. An automatic parking path planning and tracking control method is proposed in this paper to resolve the following issues presented in the existing automatic parking systems, that is, low degree of automation in vehicle control; lack of conformity between segmented path planning and real vehicle motion models; and low success rates of parking due to poor path tracking. To this end, this paper innovatively proposes preview correction which can be applied to parking path planning, and detects the curvature outliers in the parking path through the preview algorithm. In addition, it is also available for correction in advance to optimize the reasonable parking path. Meanwhile, the dual sliding mode variable structure control algorithm is used to formulate path tracking control strategies to improve the path tracking control effect and the vehicle control automation. Based on the above algorithm, an automatic parking system was developed and the real vehicle test was completed, thus exploring a highly intelligent automatic parking technology roadmap. This paper provides two key aspects of system solutions for an automatic parking system, i.e., parking path planning and path tracking control.

Study of a Novel Control Method of a Steering System for a Radio-Controlled Truck

1996 ◽  
Author(s):  
Masanori Kobayashi ◽  
Taketoshi Kawabe ◽  
Sadahiro Takahashi ◽  
Yoshito Watanabe
Keyword(s):  
Control Method ◽  
Steering System

The Research on 4WS Vehicle Steering Stability by Modeling and Simulation

2011 ◽  
Vol 403-408 ◽  
pp. 3099-3103
Author(s):  
Dai Sheng Zhang ◽  
Jun Jie Huang ◽  
Hao Wang
Keyword(s):  
Modeling And Simulation ◽  
High Speed ◽  
Steering System ◽  
Vehicle Control ◽  
Control Mode ◽  
Vehicle Design ◽  
Vehicle Stability ◽  
Vehicle Model ◽  
Simulation Research ◽  
Theory Research

In order to improve vehicle steering stability, the influence of tire loads and steering system to the vehicle stability is taken into account in this paper, and the 4WS vehicle model is established and modeling and simulation research is carried through with the Matalab/simulink. The results point out the differences and characters of vehicle control mode in low speed and high speed. This model provides a method for 4WS vehicle design, improvement and optimization, and also provides reference for 4WS theory research and test check.

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