scholarly journals Study on Integrated Control of Active Front Steering and Direct Yaw Moment Based on Vehicle Lateral Velocity Estimation

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Tao Sun ◽  
Hao Guo ◽  
Jian-yong Cao ◽  
Ling-jiang Chai ◽  
Yue-dong Sun
Keyword(s):  
Integrated Control ◽  
Front Wheel ◽  
Velocity Estimation ◽  
Extended Kalman Filtering ◽  
Lateral Velocity ◽  
Sideslip Angle ◽  
Yaw Rate ◽  
Active Front Steering ◽  
Fuzzy Control Algorithm ◽  
Yaw Moment

Considering the vehicle lateral velocity is difficult to be measured at integration of chassis control in configuration of production vehicle, this study presents the vehicle lateral velocity estimation based on the extended Kalman filtering with the standard sensor information. The fuzzy control algorithm is proposed to integrate direct yaw moment control and active front steering with lateral velocity estimation. The integration controller produces direct yaw moment and front wheel angle compensation to control yaw rate and sideslip angle, which makes the actual vehicle yaw rate and sideslip angle follow desirable yaw rate and desirable sideslip angle. The simulation results show vehicle handling and stability are enhanced under different driving cycles by the proposed algorithm.

Control Methods of Active Front Wheel Steering for 4WD Electric Vehicle

2011 ◽  
Vol 97-98 ◽  
pp. 735-740
Author(s):  
Ming Hui Zhao ◽  
Lian Dong Wang ◽  
Lei Ma ◽  
Hui Hou
Keyword(s):  
Control Method ◽  
Front Wheel ◽  
Control Input ◽  
Feedback Controllers ◽  
Sideslip Angle ◽  
Yaw Rate ◽  
Wheel Drive ◽  
Model Control ◽  
Four Wheel Drive ◽  
Yaw Moment

Based on two freedom degrees of vehicle model, control method which takes yaw rate and sideslip angle as system state, and front wheel corner and direct yaw moment as control input is put forward. Considering uncertainty of velocity and direct yaw moment, feedforward-feedback controllers are designed. Four wheel drive force are allocated by using feedforward compensation and yaw moment which is formed by driving force difference value. It makes yaw rate and sideslip well of tracking the desirable model when the vehicle drive steering. Finally, vehicle handling stability is studied on conditions of step input and sine input by simulation.

scholarly journals Sliding Mode Integrated Control for Vehicle Systems Based on AFS and DYC

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Chao Lu ◽  
Jing Yuan ◽  
Genlong Zha
Keyword(s):  
Sliding Mode ◽  
Integrated Control ◽  
Sideslip Angle ◽  
Yaw Rate ◽  
Direct Yaw Moment Control ◽  
Vehicle Systems ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Two Degree Of Freedom ◽  
Yaw Moment

This paper has investigated an integrated control of active front steering (AFS) and direct yaw-moment control (DYC) for vehicle systems. First of all, the desired yaw rate and sideslip angle are estimated by using a two-degree-of-freedom (2-DOF) model of the vehicle system. On this basis, the actual sideslip angle is estimated by means of an observer. Then, the sliding mode control (SMC) is developed for AFS and DYC, respectively, to guarantee that the actual yaw rate and the sideslip angle track their reference signals. Additionally, the disturbance observer (DOB) technique is introduced to further improve the control performance. Finally, the simulation results validate the superiority of the AFS and DYC integrated control by using CarSim software during the following conditions: double lane change and side wind disturbance.

Vehicle Stability Analyse with Electronic Power Steering Based on Yaw Rate Feedback

2013 ◽  
Vol 397-400 ◽  
pp. 1351-1356
Author(s):  
Hai Feng Song ◽  
Wei Wei Yang
Keyword(s):  
Control Method ◽  
Integrated Control ◽  
Vehicle Stability ◽  
Vehicle Model ◽  
Steering Angle ◽  
Yaw Rate ◽  
Power Steering ◽  
Rate Feedback ◽  
Yaw Stability ◽  
Yaw Moment

A control method is proposed to improve vehicle yaw stability by the integrated control of yaw moment control. The control strategy using feedback compensator is proposed, which produces direct yaw moment and front steering angle to control yaw rate, by actively controlling the front steering angle, the integrated control system makes the performance of the actual vehicle model follow that of an ideal vehicle model. A experiment is performed at different conditions, the results showed the presented method can effectively control the yaw rate, and at the same time lighten the burden of the driver. Key words: EPS; Yaw rate feedback; Vehicle stability

scholarly journals Yaw Rate and Sideslip Angle Control Through Single Input Single Output Direct Yaw Moment Control

2021 ◽  
Vol 29 (1) ◽  
pp. 124-139 ◽  
Author(s):  
Basilio Lenzo ◽  
Mattia Zanchetta ◽  
Aldo Sorniotti ◽  
Patrick Gruber ◽  
Wouter De Nijs
Keyword(s):  
Sideslip Angle ◽  
Single Input Single Output ◽  
Yaw Rate ◽  
Single Output ◽  
Direct Yaw Moment Control ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Single Input ◽  
Yaw Moment

The Steering Performance Analysis of Multi-Axle Vehicle Based on Sideslip Angle Control Strategy

2014 ◽  
Vol 701-702 ◽  
pp. 799-802
Author(s):  
Ping Xia Zhang ◽  
Li Gao ◽  
Yong Qiang Zhu
Keyword(s):  
Control Strategy ◽  
Front Wheel ◽  
Convergence Time ◽  
Step Response ◽  
Steering Angle ◽  
Sideslip Angle ◽  
Yaw Rate ◽  
Test Variable ◽  
Adams Software ◽  
Controlling Variables

Because there are several axles in multi-axle vehicle, steering controlling is very complex. It is proposed to use the front wheel steering angle and D as input controlling variables, and to realize centroid sideslip angle control. A five-axle vehicle model was built with ADAMS software, and the control strategy was built with Simulink software. The steering angle step response simulations were processed, such as only font wheels steering, fixed D value steering, and different sideslip angle control strategy. It is found that for only font wheels steering test, variable sideslip angle control strategy could make the overshoot of yaw rate reduce from 98% to 10%, convergence time reduce to 57%.

Research on Vehicle Stability Based on DYC and AFS Integrated Controller

2013 ◽  
Vol 278-280 ◽  
pp. 1510-1515 ◽  
Author(s):  
Jie Tian ◽  
Ya Qin Wang ◽  
Ning Chen
Keyword(s):  
Control Method ◽  
Sliding Mode ◽  
Stability Control ◽  
Front Wheel ◽  
Vehicle Stability ◽  
Sideslip Angle ◽  
Stable Domain ◽  
Vehicle Stability Control ◽  
Integrated Controller ◽  
Yaw Moment

A new vehicle stability control method integrated direct yaw moment control (DYC) with active front wheel steering (AFS) was proposed. On the basis of the vehicle nonlinear model, vehicle stable domain was determined by the phase plane of sideslip angle and sideslip angular velocity. When the vehicle was outside the stable domain, DYC was firstly used to produce direct yaw moment, which can make vehicle inside the stable domain. Then AFS sliding mode control was used to make the sideslip angle and yaw rate track the reference vehicle model. The simulation results show that the integrated controller improves vehicle stability more effectively than using the AFS controller alone.

Design of an integrated control system to enhance vehicle roll and lateral dynamics

2017 ◽  
Vol 40 (5) ◽  
pp. 1435-1446 ◽  
Author(s):  
Shahab Rahimi ◽  
Mahyar Naraghi
Keyword(s):  
Control System ◽  
Load Transfer ◽  
Integrated Control ◽  
Independent Study ◽  
Lateral Acceleration ◽  
Lateral Instability ◽  
Sideslip Angle ◽  
Roll Control ◽  
Coordination Strategy ◽  
Yaw Rate

Besides lateral instability, one major threat to all ground vehicles, especially SUVs, is the danger of rollover during cornering. A coordination strategy based on fuzzy logic has been devised to coordinate the sub-controls; namely, active steering, active differential, active brake and a novel active roll control system. Independent study of each sub-control as well as an analysis of their inter-relationship has been carried out. The coordination strategy is supposed to resolve the conflict among control targets – which are sideslip regulation, yaw rate tracking, lateral acceleration tracking and roll motion control – all of which are to be done while maintaining the driver’s desired longitudinal acceleration. Thus, a compromise must be reached. Vehicle sideslip angle and yaw rate were considered to be the criteria for lateral stability; and a combination of roll angle, roll rate and lateral load transfer was selected as the criterion for roll stability. The results of simulations on two SUV models in CarSim software indicate that the integrated controller can successfully restore vehicles’ stability in critical condition.

A Comparison of the Relative Benefits of Active Front Steering and Active Rear Steering When Coordinated With Direct Yaw Moment Control

2001 ◽  
Author(s):  
M. A. Selby ◽  
W. J. Manning ◽  
M. D. Brown ◽  
D. A. Crolla
Keyword(s):  
Load Transfer ◽  
Open Loop ◽  
Lateral Acceleration ◽  
Sideslip Angle ◽  
Direct Yaw Moment Control ◽  
Active Front Steering ◽  
Yaw Moment Control ◽  
Moment Control ◽  
The Stability ◽  
Yaw Moment

Abstract This paper studies the benefits of coordinating stability and steerability controllers to reduce vehicle deceleration during limit handling situations. The stability controller, DYC, uses the vehicle brakes to apply a restoring moment when the vehicle sideslip angle and sideslip velocity exceed fixed bounds. This use of the brakes interferes with the longitudinal dynamics of the vehicle in a way that drivers find undesirable. Active front steering (AFS) and active rear steering(ARS) can be used to tune the vehicle handling balance in the low to mid-range lateral-acceleration regime. Earlier work has shown that the use of AFS can reduce the interference observed using DYC alone. The levels of improvement achievable by coordinating AFS and ARS with DYC are quantified using open loop handling simulations tests by predicting the deceleration of the vehicle in an extreme manoeuvre. The results from these simulations are compared to assess the relative benefits of AFS and ARS when coordinated with DYC. The computer simulations are based on a four-degree of freedom vehicle model incorporating longitudinal, lateral, yaw, roll, and load transfer effects.

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