Citation

Lin J, Zhang F, Su L, Song G, Liu Z, Zhang Y. Actuators 2024; 13(2): e48.

Copyright

(Copyright © 2024, MDPI: Multidisciplinary Digital Publications Institute)

DOI

10.3390/act13020048

PMID

unavailable

Abstract

The steer-by-wire system severs the mechanical link between the steering wheel and the steering gear. This configuration enhances the angular transmission characteristics. Entering the nonlinear region of the tires could result in a reduction in the vehicle's steering gain. In order to improve the comfort of vehicle steering operation, we have developed a variable transmission ratio controller for the steer-by-wire (SBW) system. This controller utilizes information on the vehicle speed and steering wheel angle to generate a variable transmission ratio coefficient, thereby adjusting the steering ratio. We introduce a multi-objective comprehensive evaluation index that takes into account vehicle lateral deviation, driver steering burden, vehicle stability, and safety. To harmonize the transmission ratio weights of constant steering gain, we employ the coefficient of variation method. Ultimately, a fuzzy neural network is employed to craft a nonlinear controller. We conducted steady-state circular motion tests, double lane-change tests, and step input tests to validate the performance of the variable transmission ratio control. The results suggest that, in comparison to conventional fixed transmission ratio systems, the variable transmission ratio control within the steer-by-wire system significantly alleviates the driver's operational burden while enhancing the vehicle's handling stability and safety.

Language: en

Keywords

coefficient of variation method; fuzzy neural network; steer-by-wire; steering gain; variable transmission ratio