Development of Estimation Force Feedback Torque Control Algorithm for Driver Steering Feel in Vehicle Steer by Wire System: Hardware in the Loop

Fahami, Sheikh Muhammad Hafiz; Zamzuri, Hairi; Mazlan, Saiful Amri

doi:10.1155/2015/314597

Cited by 24 publications

(8 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The solution may be to implement force, torque and yaw rate sensors or accelerometers as described in [5][6][7]. A very interesting solution is also described by Fahami et al [8]. They propose an algorithm to create force feedback torque based on the current measurement of the DC motor.…”

Section: Introductionmentioning

confidence: 99%

Electronic Steering of the Vehicle Axle with Force Feedback

Pawlenka¹,

Škuta²,

Kulhanek³

2020

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

The technology of electronic steering with force feedback is related to electronic vehicle control. This technology is also known as "steer-by-wire" technology and is specific in that there is not any mechanical connection between the axle and the steering wheel. This technology is currently not very widespread. However, developments in the automotive industry are slowly moving towards this technology in the context of autonomous vehicles. This study includes a review of current technologies in this area and suggests a technical solution for Steer-by-Wire technology and its verification in the real vehicle model in the university environment.

show abstract

Section: Introductionmentioning

confidence: 99%

Electronic Steering of the Vehicle Axle with Force Feedback

Pawlenka¹,

Škuta²,

Kulhanek³

2020

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

show abstract

“…employed an algorithm to create estimated force feedback in the SBW system with LQR control algorithm. 6 Sentouh et al. proposed the human driver model with visual strategies to specify the interaction between driver and vehicle for sensing the torque feedback.…”

Section: Introductionmentioning

confidence: 99%

“…5 Fahami et al employed an algorithm to create estimated force feedback in the SBW system with LQR control algorithm. 6 Sentouh et al proposed the human driver model with visual strategies to specify the interaction between driver and vehicle for sensing the torque feedback. They used grey-box identification for computing the missing parameters in the driver model from inputoutput data.…”

Section: Introductionmentioning

confidence: 99%

Development of a neuromuscular driver model with an estimation of steering torque feedback in vehicle steer-by-wire systems

Gholami

Majidi

2019

Proceedings of the IMechE

View full text Add to dashboard Cite

In this paper, a neuromuscular driver model for sensing torque feedback or haptic interaction between the vehicle equipped with steer-by-wire (SBW) system and the driver has been developed. The proposed driver model consists of a preview model and a neuromuscular model. The preview driver model calculates the desired angle of the steering-wheel to follow the path, and the neuromuscular driver model, with the ability of perceiving real-time torque feedback, determines the real angle of the steering-wheel angle according to muscular system transfer functions to follow the desired steering-wheel angle. In order to calculate torques on the steering-wheel, the lateral tyre-road forces are estimated by Kalman filter designed using a linear 2-DOF vehicle model. So, the design of the neuromuscular driver model combined with torque feedback estimation is the main contribution of this paper. The simulation results from TruckSim and Simulink software indicate that the novel designed driver model with torque feedback estimation has an important role in the controlling and steering vehicle to follow the desired paths.

show abstract

“…12,13,16,17 Based on this approach, many other algorithms have also been proposed. For example, Fahami et al 18 added the inertia torque to the compensation torque as well as the damping torque, based on the steer-by-wire system research at Hanyang University. 16,19,20 Asai et al 15 proposed a compensation torque composed of a phase compensation torque, a damping torque, an inertia torque and a friction torque.…”

Section: Introductionmentioning

confidence: 99%

Study on the stability of the steering torque feedback system considering the time delay and the system characteristics

Jiang

Deng

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

The steering torque feedback system, as one of the most critical parts in a driving simulator or a steer-by-wire system, is used to generate an faithful or desired steering feel for drivers. This requires that the steering torque feedback system should stably simulate the steering feel for a sufficiently large range. There are many factors that can influence the stability region of the steering torque feedback system, such as the characteristics of the system, the time delay and other non-linear factors. In this paper, from the viewpoint of the system design, a stability criterion is derived using an energy-based approach. In particular, some influencing factors are quantitatively investigated and analysed in this paper, including the characteristics of the damping, friction and stiffness system, the time delay and other non-linear factors of the system. The stability criterion and the analysis results of these influencing factors can be used as guidelines for the design of a steering torque feedback system with the aim of achieving a better performance, such as appropriate parameters for the system damping, friction and stiffness, the maximum allowable time delay of the system and the design of the system control algorithms. As well as a finished steering torque feedback system, the stability region can also be calculated from the criterion using the system parameters. The derived stability criterion and analysis results of these influencing factors are all verified by both simulations and experiments.

show abstract

Development of Estimation Force Feedback Torque Control Algorithm for Driver Steering Feel in Vehicle Steer by Wire System: Hardware in the Loop

Cited by 24 publications

References 22 publications

Electronic Steering of the Vehicle Axle with Force Feedback

Electronic Steering of the Vehicle Axle with Force Feedback

Development of a neuromuscular driver model with an estimation of steering torque feedback in vehicle steer-by-wire systems

Study on the stability of the steering torque feedback system considering the time delay and the system characteristics

Contact Info

Product

Resources

About