Active Front Steering (Part 2): Safety and Functionality

Reinelt, Wolfgang; Klier, Willy; Reimann, Gerd; Schuster, W.; Großheim, Reinhard

doi:10.4271/2004-01-1101

Cited by 36 publications

(6 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Almost every active steering system on the market today is based on the classical proportional-integral-derivative (PID) control system [1,2,3,4,5,6]. In general, tuning the gains of such a PID controller requires extensive and rigorous field tests that are conducted by vehicle experts in a car manufacturing company.…”

Section: Table 1 Auto21ev Model Parametersmentioning

confidence: 99%

“…Since the lateral acceleration of the vehicle is fundamentally limited by the friction coefficient between the tires and the road, the maximum desired yaw rate is also limited. The steady-state lateral acceleration of the vehicle can be expressed as follows [12]: (6) where R is the radius of curvature, g is the acceleration due to gravity, and μ y,max is the maximum lateral friction coefficient between the tire and the road. The desired yaw rate must, therefore, be limited by the following value:…”

Section: Development Of An Advanced Fuzzy Steering Controllermentioning

confidence: 99%

See 1 more Smart Citation

Development of an Advanced Fuzzy Active Steering Controller and a Novel Method to Tune the Fuzzy Controller

Jalali¹,

McPhee²,

Lambert³

2013

SAE Int. J. Passeng. Cars – Electron. Electr. Syst.

View full text Add to dashboard Cite

A two-passenger, all-wheel-drive urban electric vehicle (AUTO21EV) with four direct-drive in-wheel motors has been designed and developed at the University of Waterloo. An advanced genetic-fuzzy active steering controller is developed based on this vehicle platform. The rule base of the fuzzy controller is developed from expert knowledge, and a multicriteria genetic algorithm is used to optimize the parameters of the fuzzy active steering controller. To evaluate the performance of this controller, a computational model of the AUTO21EV is driven through several standard test maneuvers using an advanced path-following driver model. As the final step in the evaluation process, the genetic-fuzzy active steering controller is implemented in a hardware-and operator-in-the-loop driving simulator to confirm its performance and effectiveness.

show abstract

Section: Table 1 Auto21ev Model Parametersmentioning

confidence: 99%

Section: Development Of An Advanced Fuzzy Steering Controllermentioning

confidence: 99%

Development of an Advanced Fuzzy Active Steering Controller and a Novel Method to Tune the Fuzzy Controller

Jalali¹,

McPhee²,

Lambert³

2013

SAE Int. J. Passeng. Cars – Electron. Electr. Syst.

View full text Add to dashboard Cite

show abstract

“…The steering sensitiveness is well when vehicle run at high speed, but the stability and safety of the vehicle decrease. The vehicle steering ratio is variable by active front steering (AFS) providing an electronically controlled superposition of an active angle to the steering wheel angle and the vehicle performance and stability, safety, comfort are greatly improved [1]. But the effect is small when vehicle run at limit condition.…”

Section: Introductionmentioning

confidence: 99%

Variable structure control for active front steering and direct yaw moment

2011

2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)

View full text Add to dashboard Cite

The vehicle dynamics model and desired target tracking model were established. The variable structure controller for active front steering (AFS) and direct yaw moment control (DYC) is designed using sliding mode control (SMC) technique considering the external disturbance and system uncertainty. The step input and sine input simulation results show that the yaw rate and side slip angle of the vehicle with the designed controller can follow that of desired target tracking model. The vehicle handling performance and stability are greatly improved. In the same time the system with designed controller has good robustness to its uncertainty.

show abstract

“…As a new type of power assist system, DDAS can meet the requirements of vehicle steering, including being lightweight and having steering "road sense" [2,3]; it can improve the active safety of the vehicle. Meanwhile, the commonly used AFS system in vehicles can enhance the operational stability and safety of the steering system by actively applying additional angles to change the angular displacement transmission characteristics [4]. At present, independent chassis control systems using DDAS or AFS alone are far from meeting consumers' requirements for vehicle driving performance.…”

Section: Introductionmentioning

confidence: 99%

Research on Collaborative Control of Differential Drive Assisted Steering and Active Front Steering for Distributed Drive Electric Vehicles

Zhou,

Ding,

Shi

2023

WEVJ

View full text Add to dashboard Cite

A collaborative control strategy for distributed drive electric vehicles (DDEVs) focusing on differential drive assisted steering (DDAS) and active front steering (AFS) is proposed to address the issues of sudden torque changes, reduced steering characteristics, and weak collaborative control capabilities caused by the coupling of the AFS and DDAS systems in DDEVs. This paper establishes a coupled dynamic model of the AFS and DDAS systems and, on this basis, designs AFS controllers for yaw velocity feedback control and DDAS controllers for steering wheel torque control, respectively. Additionally, it analyzes the interference factors of the two control systems and develops a collaborative control strategy for DDAS and AFS; this control strategy establishes a corner motor correction module, steering wheel torque correction module, and assistance correction module. Co-simulation is carried out on Matlab/Simulink and the Carsim platform to verify the correctness of the model under typical working conditions; to reduce the sudden change in the steering wheel torque caused by AFS additional angle interventions; to improve the poor steering characteristics caused by DDAS, introducing additional yaw torque; to greatly enhance the collaborative control effect; and to meet the requirements for vehicle handling stability, portability, and safety.

show abstract

Active Front Steering (Part 2): Safety and Functionality

Cited by 36 publications

References 7 publications

Development of an Advanced Fuzzy Active Steering Controller and a Novel Method to Tune the Fuzzy Controller

Development of an Advanced Fuzzy Active Steering Controller and a Novel Method to Tune the Fuzzy Controller

Variable structure control for active front steering and direct yaw moment

Research on Collaborative Control of Differential Drive Assisted Steering and Active Front Steering for Distributed Drive Electric Vehicles

Contact Info

Product

Resources

About