Steering Feedback Transparency Using Rack Force Observer

Chugh, Tushar; Bruzelius, Fredrik; Klomp, Matthijs; Jacobson, Bengt J H

doi:10.1109/tmech.2022.3144245

Cited by 6 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1,2 Electric power steering (EPS) systems demonstrate outstanding features, such as green environmental protection, high-level efficiency and energy saving, and good steering characteristics, which represents the development direction of intelligent steering in the future. 3 Because the current 12 V (passenger car) or 24 V (commercial vehicle) on-board battery voltage system limits the power of the steering motor, the research on EPS system focuses on passenger car with small forward load, [4][5][6] while the research on EPS for commercial vehicle with large forward load has not been solved well. Most commercial vehicles today still use hydraulic steering systems due to the limitation of the 24 V supply voltage.…”

Section: Introductionmentioning

confidence: 99%

A novel dual power-driven electric power steering system for electric commercial vehicles

Fu,

Lu,

Zhao

et al. 2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

To solve the power limitation problem faced by the development of EPS system for commercial vehicles and achieve the high-performance steering, this article presents a novel dual power-driven electric power steering system (DPEPS) for commercial vehicles by using the open winding permanent magnet synchronous motor (OPMSM) fed by dual inverter with high and low DC voltage supplies. First, the two-level control strategy is introduced for the developed DPEPS system, where the upper control is designed to make the actual steering follow the expected steering performance as determined by the assistant torque curve and to generate the appropriate target current according to the vehicle speed and steering torque. And then the lower control consists of the synthetical space vector control scheme and dual PI control loop is used to execute commands from the upper control, which can make the motor execute the appropriate power supply method according to the steering torque and assist current. Finally, a co-simulation model is carried out for an electric bus, and based on which the proposed DPEPS system is validated.

show abstract

Section: Introductionmentioning

confidence: 99%

A novel dual power-driven electric power steering system for electric commercial vehicles

Fu,

Lu,

Zhao

et al. 2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…However, during the last few years, the emergence of autonomous or semi-autonomous car technology has strongly increased the interest in on-board systems, which can perform real-time surface classification to aid the driving assistance systems of the car by automatic power-assisted steering. A variety of works have recently been reported in this very active research area [6][7][8][9][10][11][12][13][14][15][16][17]. Most of them propose machine learning approaches, where an automatic classifier is to be trained from labelled feature vectors derived from sensor signals.…”

Section: Introduction 1preliminariesmentioning

confidence: 99%

On Training Road Surface Classifiers by Data Augmentation

et al. 2022

View full text Add to dashboard Cite

It is demonstrated that data augmentation is a promising approach to reduce the size of the captured dataset required for training automatic road surface classifiers. The context is on-board systems for autonomous or semi-autonomous driving assistance: automatic power-assisted steering. Evidence is obtained by extensive experiments involving multiple captures from a 10-channel multisensor deployment: three channels from the accelerometer (acceleration in the X, Y, and Z axes); three microphone channels; two speed channels; and the torque and position of the handwheel. These captures were made under different settings: three worm-gear interface configurations; hands on or off the wheel; vehicle speed (constant speed of 10, 15, 20, 30 km/h, or accelerating from 0 to 30 km/h); and road surface (smooth flat asphalt, stripes, or cobblestones). It has been demonstrated in the experiments that data augmentation allows a reduction by an approximate factor of 1.5 in the size of the captured training dataset.

show abstract

Rack force fault tolerance estimation of steer-by-wire system under different resolver faults based on sensor flows

Zhao,

2024

Control Engineering Practice

View full text Add to dashboard Cite

Steering Feedback Transparency Using Rack Force Observer

Cited by 6 publications

References 27 publications

A novel dual power-driven electric power steering system for electric commercial vehicles

A novel dual power-driven electric power steering system for electric commercial vehicles

On Training Road Surface Classifiers by Data Augmentation

Rack force fault tolerance estimation of steer-by-wire system under different resolver faults based on sensor flows

Contact Info

Product

Resources

About