A Control Strategy to Compensate the Reaction Torque of Active Front Steering System

2007 ◽  
Author(s):  
Taebong Noh ◽  
Jaesuk Kim ◽  
Jungrak Choi ◽  
Hangbyong Cha
Keyword(s):  
Control Strategy ◽  
Steering System ◽  
Active Front Steering ◽  
Reaction Torque

Research on the Control Strategy of Active Front Steering System

2013 ◽  
Vol 13 (21) ◽  
pp. 4463-4469
Author(s):  
Shuo Zhang ◽  
Qiang Yu ◽  
Chenyu Zhou ◽  
Peilong Shi ◽  
Peipei Zhang
Keyword(s):  
Control Strategy ◽  
Steering System ◽  
Active Front Steering

Vehicle Stability Control on Tire Burst Steering and Braking Condition With Active Steering System

2018 ◽  
Author(s):  
Yaqi Dai ◽  
Jian Song ◽  
Liangyao Yu
Keyword(s):  
Control Strategy ◽  
Steering System ◽  
Stability Control ◽  
Steering Angle ◽  
Tire Force ◽  
Vehicle Stability Control ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Control Layer ◽  
Yaw Moment

By analyzing the key safety problems under the front-outside-tire burst steering condition, a vehicle stability control strategy is proposed in this paper, which is based on active front steering and differential braking systems. Taken both the handling stability and safety into account, we divided the whole control strategy into two layers, which are yaw moment control layer and the additional steering angle & tire force distribution layer. To solve the similar linear problem concisely, the LQR control is adopted in the yaw moment control layer. To achieve the goal of providing enough additional lateral force and yaw moment while keeping the burst tire in appropriate condition, the additional steering angle provided by active front steering system and the tire force distribution was adjusted step by step. To test the proposed control strategy performance, we modelling a basic front-outside-tire burst steering condition, in which the tire blows out once the vertical pressure reach the predefined critical value. Through simulation on different adhesion coefficient road, the control strategy proposed in this paper performance quite better compare with the uncontrolled one in aspect of movement, burst tire protection, handling stability.

scholarly journals Experimental Study on Antivibration Control of Electrical Power Steering Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Zhaojian Wang ◽  
Hamid Reza Karimi
Keyword(s):  
Control Strategy ◽  
Controller Design ◽  
Electrical Power ◽  
Steering System ◽  
Steering Wheel ◽  
Bench Test ◽  
Power Steering ◽  
Motor Controller ◽  
Hydraulic Steering ◽  
Wheel Vibration

We focus on the antivibration controller design problem for electrical power steering (EPS) systems. The EPS system has significant advantages over the traditional hydraulic steering system. However, the improper motor controller design would lead to the steering wheel vibration. Therefore, it is necessary to investigate the antivibration control strategy. For the implementation study, we also present the motor driver design and the software design which is used to monitor the sensors and the control signal. Based on the investigation on the regular assistant algorithm, we summarize the difficulties and problems encountered by the regular algorithm. After that, in order to improve the performance of antivibration and the human-like steering feeling, we propose a new assistant strategy for the EPS. The experiment results of the bench test illustrate the effectiveness and flexibility of the proposed control strategy. Compared with the regular controller, the proposed antivibration control reduces the vibration of the steering wheel a lot.

Research on Yaw Stability Control of Active Front Steering Based on BP Neural Network PID

2013 ◽  
Vol 765-767 ◽  
pp. 1903-1907
Author(s):  
Jie Wei ◽  
Guo Biao Shi ◽  
Yi Lin
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Pid Controller ◽  
Steering System ◽  
Stability Control ◽  
Steering Angle ◽  
System A ◽  
Active Front Steering ◽  
Yaw Stability ◽  
Neural Network Pid

This paper proposes using BP neural network PID to improve the yaw stability of the vehicle with active front steering system. A dynamic model of vehicle with active front steering is built firstly, and then the BP neural network PID controller is designed in detail. The controller generates the suitable steering angle so that the vehicle follows the target value of the yaw rate. The simulation at different conditions is carried out based on the fore established model. The simulation results show the BP neural network PID controller can improve the vehicles yaw stability effectively.

A New Control Strategy of an Electric-Power-Assisted Steering System

2012 ◽  
Vol 61 (8) ◽  
pp. 3574-3589 ◽  
Author(s):  
A. Marouf ◽  
M. Djemai ◽  
C. Sentouh ◽  
P. Pudlo
Keyword(s):  
Electric Power ◽  
Control Strategy ◽  
Steering System
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