scholarly journals Active-steering control system based on human hand impedance properties

2010 ◽  
Author(s):  
Yoshiyuki Tanaka ◽  
Yusuke Kashiba ◽  
Naoki Yamada ◽  
Takamasa Suetomi ◽  
Kazuo Nishikawa ◽  
...  
Keyword(s):  
Control System ◽  
Human Hand ◽  
Steering Control ◽  
Active Steering ◽  
Active Steering Control

Active steering control system for an independent wheel drive electric vehicle

2019 ◽  
Vol 79 (4) ◽  
pp. 273
Author(s):  
Muhammad Arshad Khan ◽  
Muhammad Faisal Aftab ◽  
Ejaz Ahmad ◽  
Iljoong Youn
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Steering Control ◽  
Active Steering ◽  
Wheel Drive ◽  
Active Steering Control

A new robust controller to improve the lateral dynamic of an articulated vehicle carrying liquid

2016 ◽  
Vol 231 (2) ◽  
pp. 295-315 ◽  
Author(s):  
Mohammad Amin Saeedi ◽  
Reza Kazemi ◽  
Shahram Azadi
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Degrees Of Freedom ◽  
Sliding Mode ◽  
Steering Control ◽  
Roll Control ◽  
Active Steering ◽  
Articulated Vehicle ◽  
Active Roll Control ◽  
Active Steering Control

In this paper to improve manoeuvrability and jackknifing prevention, as well as increasing rollover stability of an articulated vehicle carrying liquid, a new control system coupled with an active roll control system and an active steering control system is presented. First, a 16-degrees-of-freedom nonlinear dynamic model of an articulated vehicle is developed. Next, the dynamic interaction of the liquid cargo with the vehicle is investigated by integrating a quasi-static liquid sloshing model with a tractor semi-trailer model. Initially, to improve the roll stability of the vehicle, an active roll control system is presented. The active anti-roll bar is employed as an actuator to generate the roll moment. Furthermore, the manoeuvrability increment and jackknifing prevention are targeted using the active steering control system. The main purpose of using the active steering controller is to track the desired values of tractor yaw rate, articulation angle and tractor lateral velocity in different roads, various filled volumes and different speeds. The active steering control system is designed based on a three-degrees-of-freedom dynamic model of the articulated vehicle carrying liquid and on the basis of sliding mode control. Simulation results confirmed robust performance of the control system for different filled volumes, especially during the critical manoeuvre. Further studies show that the tracking of the desired articulation angle has not only eliminated the off-tracking path, but also has made the semi-trailer rear end follow the fifth wheel path.

Active steering control system for an independent wheel drive electric vehicle

2019 ◽  
Vol 79 (4) ◽  
pp. 273
Author(s):  
Iljoong Youn ◽  
Ejaz Ahmad ◽  
Muhammad Faisal Aftab ◽  
Muhammad Arshad Khan
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Steering Control ◽  
Active Steering ◽  
Wheel Drive ◽  
Active Steering Control

Development of an Active Steering Control System in a Car Driving Simulator

2009 ◽  
Author(s):  
Azim Eskandarian ◽  
Damoon Soudbakhsh ◽  
Johann Moreau ◽  
Julien Karcher
Keyword(s):  
Control System ◽  
Driving Simulator ◽  
Steering Control ◽  
Active Steering ◽  
Car Driving ◽  
Active Steering Control

A new robust combined control system for improving manoeuvrability, lateral stability and rollover prevention of a vehicle

2019 ◽  
Vol 234 (1) ◽  
pp. 198-213 ◽  
Author(s):  
Mohammad Amin Saeedi
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Control Method ◽  
Sliding Mode ◽  
Lateral Stability ◽  
Steering Control ◽  
Nonlinear Dynamic Model ◽  
Active Steering ◽  
Combined Control ◽  
Active Steering Control

This paper presents a new effective method in order to achieve an appropriate performance for a four-wheeled vehicle during different conditions. The main goal of the study is focused on the handling improvement and lateral stability increment of the vehicle using a robust combined control system. First, in order to increase the vehicle's manoeuvrability, an active steering control system is proposed based on the sliding mode control method and using the simplified dynamic model. The tracking of the desired values of the yaw rate and lateral velocity of the vehicle is the main purpose for using the controller. Also, in order for verifying the performance of the sliding mode controller, the linearization feedback control method is used to design the active steering control system. Moreover, to improve the directional stability of the vehicle, a new active roll control system is proposed. In this control system, the roll angle is considered as the state variable as well as the active anti-roll-bar is utilized as an actuator to generate the roll moment. Then, a 14-degrees-of-freedom nonlinear dynamic model of the vehicle validated using CarSim software is utilized. Afterward, the performance of the designed combined control system is investigated at various velocities. The simulation results confirm that the combined control system has an important effect on vehicle's manoeuvrability improvement and its lateral stability increment, especially during severe transient manoeuvre.

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.

Active steering control for autonomous vehicles based on a driver-in-the-loop platform: A case study of collision avoidance

2019 ◽  
Vol 233 (10) ◽  
pp. 1422-1437
Author(s):  
Keji Chen ◽  
Xiaofei Pei ◽  
Daoyuan Sun ◽  
Zhenfu Chen ◽  
Xuexun Guo ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Model Predictive Control ◽  
Collision Avoidance ◽  
Predictive Control ◽  
Autonomous Vehicle ◽  
Steering Control ◽  
Safe Driving ◽  
Active Steering ◽  
Active Steering Control

Leveraging the advancements in sensor and mapping technologies, the collision-free autonomous vehicle becomes possible in the future. In this article, a case study of collision avoidance by active steering control is presented and verified by a driver-in-the-loop platform. The proposed control system integrates a risk assessment algorithm and a hierarchical model predictive control approach to ensure a safe driving. First, a fuzzy logic is used to estimate the potential conflict. Besides, a nonlinear model predictive control is introduced in the upper layer of the model predictive controller to generate a collision-free trajectory. Furthermore, the lower layer determines the optimal steering angle based on the linear time-variant model predictive control to follow the replanning path. The performance of the controller has been evaluated in the real-time driver-in-the-loop test. The results show that the autonomous vehicle is able to avoid the collision with the surrounding vehicle that is operated by a real driver, and the performance of collision avoidance is improved by means of the risk assessment.

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