Development of a neuromuscular driver model with an estimation of steering torque feedback in vehicle steer-by-wire systems. (September 2019)

• Record Type: Journal Article
• Authors: Gholami, Amir; Majidi, Majid
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 233:Number 3(2019:Sep.)
• Page Start: 657
• Page End: 667
• Publication Date: 2019-09
• Subjects: Haptic -- steering torque feedback -- driver model -- steer-by-wire -- tyre force estimator; Machinery, Dynamics of -- Periodicals; Machine design -- Periodicals; 621.815
• DOI: 10.1177/1464419319829980
• Languages: English
• ISSNs: 1464-4193

Abstract

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.