scholarly journals Vehicle Dynamic Control with 4WS, ESC and TVD under Constraint on Front Slip Angles

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6306
Author(s):  
Jaewon Nah ◽  
Seongjin Yim
Keyword(s):  
Dynamic Control ◽  
Stability Control ◽  
Slip Angle ◽  
Control Allocation ◽  
Vehicle Dynamic ◽  
Steering Angle ◽  
Torque Vectoring ◽  
Vehicle Dynamic Control ◽  
Tire Forces ◽  
Yaw Moment

To enhance vehicle maneuverability and stability, a controller with 4-wheel steering (4WS), electronic stability control (ESC) and a torque vectoring device (TVD) under constraint on the front slip angles is designed in this research. In the controller, the control allocation method is adopted to generate yaw moment via 4WS, ESC and TVD. If the front steering angle is added for generating yaw moment, the steering performance of the vehicle can be further deteriorated. This is because the magnitude of the lateral tire forces are limited and the required yaw moment is insufficient. Constraint is imposed on the magnitude of the front slip angles in order to prevent the lateral tire forces from saturating. The driving simulation is performed by considering the limit of the front slip angle proposed in this study. Compared to the case that uses the existing 4WS, the results of this study are derived from the actuator combination that enhances performance while maintaining stability.

Active Variable Wheelbase as an Innovative Approach in Vehicle Dynamic Control

2011 ◽  
Author(s):  
Avesta Goodarzi ◽  
Amir Soltani ◽  
Ebrahim Esmailzadeh
Keyword(s):  
Rear Axle ◽  
Control Method ◽  
Dynamic Control ◽  
Vehicle Dynamic ◽  
The Road ◽  
Model Following Control ◽  
Model Following ◽  
Vehicle Dynamic Control ◽  
Vehicle Dynamic Model ◽  
Yaw Moment

Active variable wheelbase (AVW) has been introduced here as an innovative vehicle dynamic control method in which, the position of the front or rear axle relative to the vehicle C.G. can be actively varied. An attempt has been made to show the potential capabilities of this method in improving the road handling and stability of vehicles regardless of its embedded technical difficulties. For this purpose the proposed method has been conceptually studied in the first step and has been shown that one can generate the stabilizing yaw moment by changing the distance of the vehicle C.G. from the front or rear axles. Then the proposed concept has been theoretically studied using a simple vehicle dynamic model incorporated with the Magic Formula tire model. A comprehensive nonlinear 8 DOF vehicle model and a ‘model following control strategy’ have been used to evaluate the performance of AVW systems. The vehicle dynamic behavior when it is either uncontrolled or equipped with an AVW system has been simulated. Simulation results show that AVW can be considered as an innovative method for vehicle dynamic control in future.

scholarly journals Vehicle Stability Control with Four-Wheel Independent Braking, Drive and Steering on In-Wheel Motor-Driven Electric Vehicles

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1934
Author(s):  
Jaewon Nah ◽  
Seongjin Yim
Keyword(s):  
Electric Vehicles ◽  
Stability Control ◽  
Vehicle Stability ◽  
Control Allocation ◽  
Lateral Stability ◽  
Allocation Method ◽  
Vehicle Stability Control ◽  
Yaw Moment Control ◽  
Tire Forces ◽  
Yaw Moment

This paper presents a method to design a vehicle stability controller with four-wheel independent braking (4WIB), drive (4WID) and steering (4WIS) for electric vehicles (EVs) adopting in-wheel motor (IWM) system. To improve lateral stability and maneuverability of vehicles, a direct yaw moment control strategy is adopted. A control allocation method is adopted to distribute control yaw moment into tire forces, generated by 4WIB, 4WID and 4WIS. A set of variable weights in the control allocation method is introduced for the application of several actuator combinations. Simulation on a driving simulation tool, CarSim®, shows that the proposed vehicle stability controller is capable of enhancing lateral stability and maneuverability. From the simulation, the effects of actuator combinations on control performance are analyzed.

scholarly journals A Fault Tolerant Vehicle Stability Control Using Adaptive Control Allocation

2018 ◽  
Author(s):  
Ozan Temiz ◽  
Melih Cakmakci ◽  
Yildiray Yildiz
Keyword(s):  
Adaptive Control ◽  
Fault Tolerant ◽  
Stability Control ◽  
Steering Wheel ◽  
Slip Angle ◽  
Control Allocation ◽  
Control Input ◽  
Allocation Strategy ◽  
Virtual Control ◽  
Yaw Stability

This paper presents an integrated fault-tolerant adaptive control allocation strategy for four wheel frive - four wheel steering ground vehicles to increase yaw stability. Conventionally, control of brakes, motors and steering angles are handled separately. In this study, these actuators are controlled simultaneously using an adaptive control allocation strategy. The overall structure consists of two steps: At the first level, virtual control input consisting of the desired traction force, the desired moment correction and the required lateral force correction to maintain driver’s intention are calculated based on the driver’s steering and throttle input and vehicle’s side slip angle. Then, the allocation module determines the traction forces at each wheel, front steering angle correction and rear steering wheel angle, based on the virtual control input. Proposed strategy is validated using a non-linear three degree of freedom reduced two-track vehicle model and results demonstrate that the vehicle can successfully follow the reference motion while protecting yaw stability, even in the cases of device failure and changed road conditions.

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 Real-time Performance and Safety Validation of an Integrated Vehicle Dynamic Control Strategy

2017 ◽  
Vol 50 (1) ◽  
pp. 13854-13859 ◽  
Author(s):  
Arya Senna Abdul Rachman ◽  
Adem Ferad Idriz ◽  
Shiqian Li ◽  
Simone Baldi
Keyword(s):  
Real Time ◽  
Control Strategy ◽  
Dynamic Control ◽  
Vehicle Dynamic ◽  
Time Performance ◽  
Vehicle Dynamic Control

A comparison on optimal torque vectoring strategies in overall performance enhancement of a passenger car

2016 ◽  
Vol 230 (4) ◽  
pp. 469-488 ◽  
Author(s):  
Seyed Mohammad Mehdi Jaafari ◽  
Kourosh Heidari Shirazi
Keyword(s):  
Fuel Consumption ◽  
Ride Comfort ◽  
Stability Control ◽  
Electronic Stability Control ◽  
Slip Angle ◽  
Vehicle Model ◽  
Side Slip Angle ◽  
Wheel Drive ◽  
Torque Vectoring ◽  
Four Wheel Drive

In this paper, a comparison is made on different torque vectoring strategies to find the best strategy in terms of improving handling, fuel consumption, stability and ride comfort performances. The torque vectoring differential strategies include superposition clutch, stationary clutch, four-wheel drive and electronic stability control. The torque vectoring differentials are implemented on an eight-DOF vehicle model and controlled using optimized fuzzy-based controllers. The vehicle model assisted with the Pacejka tyre model, an eight-cylinder dynamic model for engine, and a five-speed transmission system. Bee’s Algorithm is employed to optimize the fuzzy controller to ensure each torque vectoring differential works in its best state. The controller actuates the electronic clutches of the torque vectoring differential to minimize the yaw rate error and limiting the side-slip angle in stability region. To estimate side-slip angle and cornering stiffness, a combined observer is designed based on full order observer and recursive least square method. To validate the results, a realistic car model is built in Carsim package. The final model is tested using a co-simulation between Matlab and Carsim. According to the results, the torque vectoring differential shows better handling compared to electronic stability control, while electronic stability control is more effective in improving the stability in critical situation. Among the torque vectoring differential strategies, stationary clutch in handling and four-wheel drive in fuel consumption as well as ride comfort have better operation and more enhancements.

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