The development of electrohydraulic steering control system for off-road vehicle automatic guidance

2007 ◽  
Author(s):  
Zhilin Dong
Keyword(s):  
Control System ◽  
Steering Control ◽  
Road Vehicle ◽  
Automatic Guidance

scholarly journals Steering Control System for Autonomous Road Vehicle Using Fuzzy Neural Network.

1995 ◽  
Vol 115 (11) ◽  
pp. 1373-1379 ◽  
Author(s):  
Seung-Hak Yang ◽  
Fumio Harashima ◽  
Young-Cheol Lim ◽  
Kyeung-Young Cho ◽  
Young-Jae Ryoo
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Neural Network ◽  
Steering Control ◽  
Road Vehicle ◽  
Fuzzy Neural

Integration of Active Tilting Control and Full-Wheel Steering Control System on Vehicle Lateral Performance

2021 ◽  
Vol 22 (4) ◽  
pp. 979-992
Author(s):  
Wu Liang ◽  
Ejaz Ahmac ◽  
Muhammad Arshad Khan ◽  
Iljoong Youn
Keyword(s):  
Control System ◽  
Steering Control

Independent wheel control system design for highly automated driving

2021 ◽  
pp. 095440702110065
Author(s):  
Shihuan Li ◽  
Lei Wang
Keyword(s):  
Control System ◽  
Control Method ◽  
Autonomous Driving ◽  
Control System Design ◽  
Steering Control ◽  
Automated Driving ◽  
Accuracy And Precision ◽  
Actual Observation ◽  
Control Scheme ◽  
Interference Measurement

For L4 and above autonomous driving levels, the automatic control system has been redundantly designed, and a new steering control method based on brake has been proposed; a new dual-track model has been established through multiple driving tests. The axle part of the model was improved, the accuracy of the transfer function of the model was verified again through acceleration-slide tests; a controller based on interference measurement was designed on the basis of the model, and the relationships between the controller parameters was discussed. Through the linearization of the controller, the robustness of uncertain automobile parameters is discussed; the control scheme is tested and verified through group driving test, and the results prove that the accuracy and precision of the controller meet the requirements, the robustness stability is good. Moreover, the predicted value of the model fits well with the actual observation value, the proposal of this method provides a new idea for avoiding car out of control.

Innovative Active Vehicle Safety Using Integrated Stabilizer Pendulum and Direct Yaw Moment Control

2014 ◽  
Vol 136 (5) ◽  
Author(s):  
Avesta Goodarzi ◽  
Fereydoon Diba ◽  
Ebrahim Esmailzadeh
Keyword(s):  
Control System ◽  
Model Simulation ◽  
Dynamic Control ◽  
Superior Performance ◽  
Steering Control ◽  
Pendulum System ◽  
Direct Yaw Moment Control ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Yaw Moment

Basically, there are two main techniques to control the vehicle yaw moment. First method is the indirect yaw moment control, which works on the basis of active steering control (ASC). The second one being the direct yaw moment control (DYC), which is based on either the differential braking or the torque vectoring. An innovative idea for the direct yaw moment control is introduced by using an active controller system to supervise the lateral dynamics of vehicle and perform as an active yaw moment control system, denoted as the stabilizer pendulum system (SPS). This idea has further been developed, analyzed, and implemented in a standalone direct yaw moment control system, as well as, in an integrated vehicle dynamic control system with a differential braking yaw moment controller. The effectiveness of SPS has been evaluated by model simulation, which illustrates its superior performance especially on low friction roads.

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